{"id":2004,"date":"2026-08-14T09:30:27","date_gmt":"2026-08-14T04:00:27","guid":{"rendered":"https:\/\/www.editage.com\/blog\/?p=2004"},"modified":"2026-08-14T09:30:27","modified_gmt":"2026-08-14T04:00:27","slug":"what-is-quantitative-research-methodology-types-examples","status":"publish","type":"post","link":"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/","title":{"rendered":"What is Quantitative Research? Methodology, Types, Examples"},"content":{"rendered":"<p><strong>Key Takeaways:<\/strong><\/p>\n<ul>\n<li>Quantitative research collects numerical data and analyzes it statistically to test hypotheses, measure variables, and generalize findings from a sample to a larger population.<\/li>\n<li>There are 4 core designs: descriptive, correlational, quasi-experimental, and experimental. Only true experiments with random assignment support strong claims about cause and effect.<\/li>\n<li>The credibility of a quantitative study rests on 3 pillars: a representative sample, validated measurement instruments, and a statistical test matched to the data.<\/li>\n<li>Choose quantitative methods when your question asks how many, how much, how often, or whether X affects Y; choose qualitative or mixed methods when it asks why or how.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Glossary_of_Key_Terms\" >Glossary of Key Terms<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#What_is_Quantitative_Research\" >What is Quantitative Research?<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#What_Defines_Quantitative_Research\" >What Defines Quantitative Research?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Core_Characteristics_of_Quantitative_Research\" >Core Characteristics of Quantitative Research<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Research_Questions_in_Quantitative_Studies\" >Research Questions in Quantitative Studies<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#What_Makes_a_Good_Quantitative_Research_Question\" >What Makes a Good Quantitative Research Question?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Types_of_Quantitative_Research_Questions\" >Types of Quantitative Research Questions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#From_Research_Question_to_Hypothesis\" >From Research Question to Hypothesis<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Types_of_Quantitative_Research_Methods\" >Types of Quantitative Research Methods<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Descriptive_Research\" >Descriptive Research<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Correlational_Research\" >Correlational Research<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Quasi-Experimental_Research\" >Quasi-Experimental Research<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Experimental_Research\" >Experimental Research<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Which_Quantitative_Design_Should_You_Use\" >Which Quantitative Design Should You Use?<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#How_to_Collect_Data_in_Quantitative_Studies\" >How to Collect Data in Quantitative Studies<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Probability_and_Non-probability_Sampling\" >Probability and Non-probability Sampling<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#How_Large_Should_a_Quantitative_Sample_Be\" >How Large Should a Quantitative Sample Be?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Common_Data_Collection_Instruments\" >Common Data Collection Instruments<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Levels_of_Measurement\" >Levels of Measurement<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Ensuring_Validity_and_Reliability\" >Ensuring Validity and Reliability<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Data_Analysis_in_Quantitative_Research\" >Data Analysis in Quantitative Research<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Descriptive_Statistics\" >Descriptive Statistics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Inferential_Statistics\" >Inferential Statistics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-24\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#What_Does_a_p-value_Actually_Tell_You\" >What Does a p-value Actually Tell You?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-25\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Choosing_the_Right_Statistical_Test\" >Choosing the Right Statistical Test<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-26\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Reporting_Results_Accurately\" >Reporting Results Accurately<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-27\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Quantitative_vs_Qualitative_Research\" >Quantitative vs. Qualitative Research<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-28\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#How_Do_Quantitative_and_Qualitative_Research_Differ\" >How Do Quantitative and Qualitative Research Differ?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-29\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Mixed-Methods_Research\" >Mixed-Methods Research<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-30\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Advantages_of_Quantitative_Research\" >Advantages of Quantitative Research<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-31\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Disadvantages_of_Quantitative_Research\" >Disadvantages of Quantitative Research<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-32\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Where_Does_Quantitative_Research_Fall_Short\" >Where Does Quantitative Research Fall Short?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-33\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#How_Can_You_Offset_the_Limitations\" >How Can You Offset the Limitations?<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-34\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#When_to_Choose_a_Quantitative_Research_Design\" >When to Choose a Quantitative Research Design<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-35\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#When_Is_Quantitative_Research_the_Right_Choice\" >When Is Quantitative Research the Right Choice?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-36\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#How_to_Set_Up_a_Quantitative_Study\" >How to Set Up a Quantitative Study<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-37\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Examples_Across_Disciplines\" >Examples Across Disciplines<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-38\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Frequently_Asked_Questions\" >Frequently Asked Questions<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-39\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#What_is_quantitative_research_in_simple_terms\" >What is quantitative research in simple terms?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-40\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#What_are_the_4_types_of_quantitative_research_designs\" >What are the 4 types of quantitative research designs?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-41\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#What_is_the_difference_between_quantitative_and_qualitative_research_methods\" >What is the difference between quantitative and qualitative research methods?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-42\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#How_do_you_write_a_quantitative_research_question_and_hypothesis\" >How do you write a quantitative research question and hypothesis?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-43\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#What_sample_size_do_I_need_for_quantitative_research\" >What sample size do I need for quantitative research?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-44\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Which_statistical_test_should_I_use_for_my_quantitative_data\" >Which statistical test should I use for my quantitative data?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-45\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#Can_quantitative_research_prove_cause_and_effect\" >Can quantitative research prove cause and effect?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-46\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#What_are_some_examples_of_quantitative_research_in_everyday_settings\" >What are some examples of quantitative research in everyday settings?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1><span class=\"ez-toc-section\" id=\"Glossary_of_Key_Terms\"><\/span>Glossary of Key Terms<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<table width=\"624\">\n<thead>\n<tr>\n<td width=\"200\"><strong>Term<\/strong><\/td>\n<td width=\"424\"><strong>Definition<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/www.editage.com\/blog\/what-is-a-variable-in-research-definition-types-and-examples\/\">Variable<\/a><\/td>\n<td width=\"424\">Any characteristic that can take different values across cases, such as age, income, or test score.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/www.editage.com\/blog\/independent-vs-dependent-variables-definitions-types-examples-and-analysis\/#What_Is_an_Independent_Variable\">Independent variable<\/a><\/td>\n<td width=\"424\">The variable the researcher manipulates or treats as the presumed cause.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/www.editage.com\/blog\/independent-vs-dependent-variables-definitions-types-examples-and-analysis\/#What_Is_a_Dependent_Variable\">Dependent variable<\/a><\/td>\n<td width=\"424\">The outcome variable that is measured to detect change.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/www.editage.com\/blog\/confounding-variables-identification-definition-types-examples\">Confounding variable<\/a><\/td>\n<td width=\"424\">An unmeasured third variable that distorts the observed link between 2 other variables.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/researcher.life\/blog\/article\/how-to-write-a-research-hypothesis-definition-types-examples\/\">Hypothesis<\/a><\/td>\n<td width=\"424\">A testable, falsifiable prediction about the relationship between variables.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/www.editage.com\/blog\/hypothesis-testing-different-types-for-biomedical-researchers\/#What_are_Null_and_Alternative_Hypotheses\">Null hypothesis<\/a><\/td>\n<td width=\"424\">The default claim that no effect or no relationship exists in the population.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/researcher.life\/blog\/article\/population-vs-sample-difference-examples\/\">Population<\/a><\/td>\n<td width=\"424\">The complete set of cases the researcher wants to describe or explain.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\">Sample<\/td>\n<td width=\"424\">The subset of the population from which data are actually collected.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/researcher.life\/blog\/article\/what-is-a-sampling-frame-definition-uses-tips-examples\/\">Sampling frame<\/a><\/td>\n<td width=\"424\">The practical list of population members from which a sample is drawn.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/www.editage.com\/blog\/operationalization-research-definition-examples\/\">Operationalization<\/a><\/td>\n<td width=\"424\">The process of turning an abstract concept into a concrete, measurable indicator.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/researcher.life\/blog\/article\/levels-of-measurement-nominal-ordinal-interval-ratio-examples\/\">Level of measurement<\/a><\/td>\n<td width=\"424\">The classification of a variable as nominal, ordinal, interval, or ratio.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/www.editage.com\/blog\/reliability-vs-validity-in-research-types-differences-examples\/#What_Is_Validity_in_Research\">Validity<\/a><\/td>\n<td width=\"424\">The degree to which an instrument measures what it claims to measure.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/www.editage.com\/blog\/reliability-vs-validity-in-research-types-differences-examples\/#What_Is_Reliability_in_Research\">Reliability<\/a><\/td>\n<td width=\"424\">The consistency of a measurement across time, items, and raters.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/www.editage.com\/blog\/what-are-descriptive-statistics-types-choosing-reporting\/\">Descriptive statistics<\/a><\/td>\n<td width=\"424\">Summaries of the data at hand, such as means, medians, and percentages.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/www.editage.com\/blog\/guide-to-types-of-inferential-statistics-for-biomedical-researchers\/\">Inferential statistics<\/a><\/td>\n<td width=\"424\">Procedures that use sample data to draw conclusions about a population.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/www.editage.com\/blog\/p-value-statistics-hypothesis-testing-definition-meaning\/\">p-value<\/a><\/td>\n<td width=\"424\">The probability of obtaining results at least as extreme as those observed if the null hypothesis were true.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/www.editage.com\/blog\/effect-size\/\">Effect size<\/a><\/td>\n<td width=\"424\">A standardized measure of how large a difference or relationship is, independent of sample size.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/www.editage.com\/blog\/what-is-confidence-intervals-and-why-is-it-important\/\">Confidence interval<\/a><\/td>\n<td width=\"424\">A range of plausible values for a population parameter, usually reported at 95%.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/www.editage.com\/blog\/randomized-controlled-trial-rct\/#Stage_9_Randomization\">Randomization<\/a><\/td>\n<td width=\"424\">Assigning participants to conditions by chance so that groups are comparable at baseline.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\"><a href=\"https:\/\/www.editage.com\/blog\/what-is-generalizability-definition-examples-tips\/\">Generalizability<\/a><\/td>\n<td width=\"424\">The extent to which findings from a sample apply to the wider population.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h1><span class=\"ez-toc-section\" id=\"What_is_Quantitative_Research\"><\/span>What is Quantitative Research?<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p>Quantitative research is the systematic investigation of observable phenomena through numerical data and statistical analysis. It converts concepts such as satisfaction, performance, or risk into measurable variables, then uses mathematical procedures to describe patterns and test predictions.<\/p>\n<p>The approach dominates fields that need precise, reproducible evidence: medicine, economics, psychology, public health, education, engineering, physical sciences, and market research. Its defining promise is scale: a well-designed study of 1,200 respondents can support conclusions about millions of people.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_Defines_Quantitative_Research\"><\/span>What Defines Quantitative Research?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Quantitative research is defined by 3 features: numerical data, standardized measurement, and statistical analysis. Everything else in the methodology exists to protect those 3 features from bias, error, and inconsistency.<\/p>\n<p>Standardization is the critical element. Every participant receives the same questions, in the same order, under comparable conditions. Without that uniformity, numbers from different respondents are not truly comparable, and the statistics built on them lose meaning.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Core_Characteristics_of_Quantitative_Research\"><\/span>Core Characteristics of Quantitative Research<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li>Deductive logic: the study begins with theory and a hypothesis, then gathers data to test it.<\/li>\n<li>Objectivity: the researcher stays detached from participants to limit personal influence on results.<\/li>\n<li>Structure: instruments, protocols, and analysis plans are fixed before the first data point is collected.<\/li>\n<li>Scale: samples of 100 to 10,000 cases are common, and national surveys run far larger.<\/li>\n<li>Generalizability: findings from a representative sample are extended to the target population.<\/li>\n<li>Replicability: another team should be able to repeat the procedure and check whether results hold.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h1><span class=\"ez-toc-section\" id=\"Research_Questions_in_Quantitative_Studies\"><\/span>Research Questions in Quantitative Studies<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p>The research question governs every later decision: the design, the sample, the instrument, and the statistical test. A vague question produces data that cannot be analyzed cleanly, no matter how large the sample.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_Makes_a_Good_Quantitative_Research_Question\"><\/span>What Makes a Good Quantitative Research Question?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>A good quantitative research question specifies measurable variables, a defined population, and a clear direction of inquiry. It must be answerable with numbers and testable against data that can, in principle, contradict it.<\/p>\n<p>Compare 2 versions of the same idea.<\/p>\n<ul>\n<li><strong>Weak:<\/strong> does social media affect students?<\/li>\n<li><strong>Strong:<\/strong> among 1st-year undergraduates, is daily social media use of more than 3 hours associated with lower semester grade point average?<\/li>\n<\/ul>\n<p>The second version names the population, the variables, and the threshold.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Types_of_Quantitative_Research_Questions\"><\/span>Types of Quantitative Research Questions<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Most quantitative questions fall into 4 families, each aligned with a different design and analysis.<\/p>\n<table width=\"624\">\n<thead>\n<tr>\n<td width=\"173\"><strong>Question type<\/strong><\/td>\n<td width=\"225\"><strong>Purpose<\/strong><\/td>\n<td width=\"225\"><strong>Example<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td width=\"173\">Descriptive<\/td>\n<td width=\"225\">Measure the level or frequency of 1 variable<\/td>\n<td width=\"225\">What percentage of adults in the sample sleep 7 hours or more per night?<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Comparative<\/td>\n<td width=\"225\">Compare 2 or more groups on an outcome<\/td>\n<td width=\"225\">Do remote employees report higher job satisfaction than on-site employees?<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Relational<\/td>\n<td width=\"225\">Test the association between 2 variables<\/td>\n<td width=\"225\">Is daily screen time related to reading comprehension scores?<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Causal<\/td>\n<td width=\"225\">Test the effect of an intervention on an outcome<\/td>\n<td width=\"225\">Does a 12-week exercise program reduce resting blood pressure?<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"From_Research_Question_to_Hypothesis\"><\/span>From Research Question to Hypothesis<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>A hypothesis translates the question into a prediction that statistics can evaluate. Every test compares a null hypothesis against an alternative hypothesis, and the data decide which one the evidence favors.<\/p>\n<ul>\n<li><strong>Null hypothesis: <\/strong>there is no difference in mean blood pressure between the exercise group and the control group.<\/li>\n<li><strong>Alternative hypothesis: <\/strong>mean blood pressure is lower in the exercise group than in the control group.<\/li>\n<li><strong>Directional or non-directional: <\/strong>state a direction only when theory or prior evidence justifies it.<\/li>\n<li><strong><a href=\"https:\/\/www.editage.com\/blog\/operationalization-research-definition-examples\/#What_Are_the_Main_Types_of_Operational_Definitions\">Operational definitions<\/a>: <\/strong>specify that blood pressure means seated systolic pressure averaged over 3 readings.<\/li>\n<\/ul>\n<p>Writing operational definitions before data collection prevents a common issue: discovering at the analysis stage that a key concept was measured 3 different ways by 3 different assistants.<\/p>\n<p>&nbsp;<\/p>\n<h1><span class=\"ez-toc-section\" id=\"Types_of_Quantitative_Research_Methods\"><\/span>Types of Quantitative Research Methods<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p>Quantitative designs differ along 2 axes: whether the researcher manipulates an independent variable, and whether participants are randomly assigned to conditions. Those 2 choices determine how strong a claim the study can support.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Descriptive_Research\"><\/span>Descriptive Research<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"https:\/\/researcher.life\/blog\/article\/what-is-descriptive-research-definition-methods-types-and-examples\/\">Descriptive research<\/a> measures variables as they occur, without manipulation or comparison groups. It answers questions of prevalence, distribution, and trend, and it often forms the first stage of a longer research program.<\/p>\n<ul>\n<li><strong>Typical methods:<\/strong> <a href=\"https:\/\/www.editage.com\/blog\/cross-sectional-study-definition-examples-and-tips-for-survey-research-design-and-reporting\/\">cross-sectional surveys<\/a>, censuses, <a href=\"https:\/\/researcher.life\/blog\/article\/structured-observation-in-research-steps-guidelines-examples\/\">structured observation<\/a>, and analysis of administrative records.<\/li>\n<li><strong>Example:<\/strong> a national survey estimating that 34% of adults report insufficient physical activity.<\/li>\n<li><strong>Limitation:<\/strong> describes what exists but cannot explain why it exists.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Correlational_Research\"><\/span>Correlational Research<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"https:\/\/www.editage.com\/blog\/what-is-correlational-research-definition-design-types-examples\/\">Correlational research<\/a> measures 2 or more variables and quantifies the strength and direction of their association. Nothing is manipulated, so the design shows co-occurrence rather than causation.<\/p>\n<ul>\n<li>Output: a <a href=\"https:\/\/www.editage.com\/blog\/pearson-correlation-coefficient-definition-examples\/\">correlation coefficient<\/a> between -1.00 and +1.00, plus a significance test.<\/li>\n<li>Example: examining whether household income correlates with standardized test performance across 4,500 students.<\/li>\n<li>Caution: a correlation can be produced entirely by a confounding variable that was never measured.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Quasi-Experimental_Research\"><\/span>Quasi-Experimental Research<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"https:\/\/www.editage.com\/blog\/quasi-experimental-designs-and-how-they-work-in-biomedical-research\/\">Quasi-experimental research<\/a> applies an intervention but assigns participants to groups without randomization, usually because randomization is impractical or unethical. Groups are formed by existing membership, policy boundaries, or timing.<\/p>\n<ul>\n<li>Common variants: <a href=\"https:\/\/www.editage.com\/blog\/quasi-experimental-designs-and-how-they-work-in-biomedical-research\/#Nonequivalent_Groups_Design\">non-equivalent control group<\/a>, <a href=\"https:\/\/www.editage.com\/blog\/quasi-experimental-designs-and-how-they-work-in-biomedical-research\/#Interrupted_Time_Series_Design\">interrupted time series<\/a>, and <a href=\"https:\/\/www.editage.com\/blog\/quasi-experimental-designs-and-how-they-work-in-biomedical-research\/#Regression_Discontinuity_Design\">regression discontinuity<\/a>.<\/li>\n<li>Example: comparing reading gains in 6 schools that adopted a new curriculum against 6 schools that did not.<\/li>\n<li>Risk: pre-existing group differences can masquerade as treatment effects; statistical controls reduce but never eliminate this risk.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Experimental_Research\"><\/span>Experimental Research<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"https:\/\/www.editage.com\/blog\/types-of-experimental-research-designs\/\">Experimental research<\/a> manipulates 1 or more independent variables and randomly assigns participants to <a href=\"https:\/\/www.editage.com\/blog\/experimental-group-definition-examples\/\">experimental groups<\/a> and <a href=\"https:\/\/www.editage.com\/blog\/control-group\/\">control groups<\/a>. Randomization equalizes groups on both known and unknown characteristics, which is why the design supports causal conclusions.<\/p>\n<ul>\n<li>Core ingredients: manipulation, random assignment, a control or comparison condition, and controlled conditions.<\/li>\n<li>Example: a <a href=\"https:\/\/www.editage.com\/blog\/randomized-controlled-trial-rct\/\">randomized controlled trial<\/a> assigning 800 patients to a drug or placebo for 6 months.<\/li>\n<li>Constraint: high <a href=\"https:\/\/www.editage.com\/blog\/internal-validity-external-validity-definition-differences-examples\/#What_Is_Internal_Validity\">internal validity<\/a> sometimes comes at the cost of realism, especially in laboratory settings.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Which_Quantitative_Design_Should_You_Use\"><\/span>Which Quantitative Design Should You Use?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Match the design to the claim you need to make: descriptive for prevalence, correlational for association, quasi-experimental for likely effects in real settings, and experimental for cause and effect.<\/p>\n<table width=\"624\">\n<thead>\n<tr>\n<td width=\"156\"><strong>Design<\/strong><\/td>\n<td width=\"156\"><strong>Manipulates variable<\/strong><\/td>\n<td width=\"156\"><strong>Random assignment<\/strong><\/td>\n<td width=\"156\"><strong>Claim supported<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td width=\"156\">Descriptive<\/td>\n<td width=\"156\">No<\/td>\n<td width=\"156\">No<\/td>\n<td width=\"156\">X occurs at this rate or level<\/td>\n<\/tr>\n<tr>\n<td width=\"156\">Correlational<\/td>\n<td width=\"156\">No<\/td>\n<td width=\"156\">No<\/td>\n<td width=\"156\">X and Y vary together<\/td>\n<\/tr>\n<tr>\n<td width=\"156\">Quasi-experimental<\/td>\n<td width=\"156\">Yes<\/td>\n<td width=\"156\">No<\/td>\n<td width=\"156\">X probably affects Y<\/td>\n<\/tr>\n<tr>\n<td width=\"156\">Experimental<\/td>\n<td width=\"156\">Yes<\/td>\n<td width=\"156\">Yes<\/td>\n<td width=\"156\">X causes Y<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h1><span class=\"ez-toc-section\" id=\"How_to_Collect_Data_in_Quantitative_Studies\"><\/span>How to Collect Data in Quantitative Studies<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p><a href=\"https:\/\/www.editage.com\/blog\/data-collection-methods-for-medical-and-life-sciences-researchers\/\">Data collection<\/a> is where a quantitative study is won or lost. Sophisticated statistics cannot repair a biased sample or an instrument that measures the wrong construct, so most of the methodological effort belongs at this stage.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Probability_and_Non-probability_Sampling\"><\/span>Probability and Non-probability Sampling<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"https:\/\/www.editage.com\/blog\/data-collection-methods-for-medical-and-life-sciences-researchers\/#Sampling_Methods\">Probability sampling<\/a> gives every member of the population a known, non-zero chance of selection, which is what licenses generalization. Non-probability sampling does not, so results describe the sample more safely than the population.<\/p>\n<table width=\"624\">\n<thead>\n<tr>\n<td width=\"173\"><strong>Sampling method<\/strong><\/td>\n<td width=\"225\"><strong>Category<\/strong><\/td>\n<td width=\"225\"><strong>Best used when<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td width=\"173\">Simple random<\/td>\n<td width=\"225\">Probability<\/td>\n<td width=\"225\">A complete list of the population is available<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Stratified random<\/td>\n<td width=\"225\">Probability<\/td>\n<td width=\"225\">Subgroups must appear in known proportions<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Cluster<\/td>\n<td width=\"225\">Probability<\/td>\n<td width=\"225\">The population is large and geographically dispersed<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Convenience<\/td>\n<td width=\"225\">Non-probability<\/td>\n<td width=\"225\">Piloting instruments under tight time or budget limits<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Quota<\/td>\n<td width=\"225\">Non-probability<\/td>\n<td width=\"225\">Subgroup targets matter more than random selection<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Snowball<\/td>\n<td width=\"225\">Non-probability<\/td>\n<td width=\"225\">The population is hidden or hard to reach<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_Large_Should_a_Quantitative_Sample_Be\"><\/span>How Large Should a Quantitative Sample Be?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"https:\/\/www.editage.com\/blog\/sample-size-and-statistical-power-definition-formulas-calculations-worked-examples\/\">Sample size<\/a> is calculated, not guessed. It depends on 4 inputs: the expected effect size, the significance level (usually 0.05), the desired power (usually 0.80), and the variability of the outcome.<\/p>\n<p>A study underpowered at 0.40 will miss a real effect more often than it finds one, wasting participants and funding. Oversized studies create the opposite problem: trivially small differences reach statistical significance and get reported as though they matter.<\/p>\n<ul>\n<li>Run a <a href=\"https:\/\/www.editage.com\/blog\/sample-size-and-statistical-power-definition-formulas-calculations-worked-examples\/#The_Four_Building_Blocks_of_Every_Power_Analysis\">formal power analysis<\/a> before recruitment, using software such as G*Power or an R package.<\/li>\n<li>Inflate the target by 10% to 30% to absorb dropout, incomplete responses, and screening failures.<\/li>\n<li>For subgroup analyses, power the study for the smallest subgroup you intend to report.<\/li>\n<li>Report the power analysis assumptions in the methods section so reviewers can verify them.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Common_Data_Collection_Instruments\"><\/span>Common Data Collection Instruments<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The instrument must produce numbers that map cleanly onto the variables in the hypothesis. Whenever possible, use an existing validated instrument rather than writing a new one, because validation evidence takes years to accumulate.<\/p>\n<table width=\"624\">\n<thead>\n<tr>\n<td width=\"173\"><strong>Instrument<\/strong><\/td>\n<td width=\"225\"><strong>Data produced<\/strong><\/td>\n<td width=\"225\"><strong>Example application<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td width=\"173\">Structured questionnaire<\/td>\n<td width=\"225\">Scaled ratings and counts<\/td>\n<td width=\"225\">Employee engagement survey using a 5-point scale<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Standardized test<\/td>\n<td width=\"225\">Scores against established norms<\/td>\n<td width=\"225\">Mathematics achievement assessment in 40 schools<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Structured observation<\/td>\n<td width=\"225\">Frequency and duration counts<\/td>\n<td width=\"225\">Tally of on-task behavior in 30-second intervals<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Physiological measurement<\/td>\n<td width=\"225\">Continuous readings<\/td>\n<td width=\"225\">Blood pressure and heart rate in a clinical trial<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Administrative records<\/td>\n<td width=\"225\">Existing institutional counts<\/td>\n<td width=\"225\">Hospital readmission rates over 5 years<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Sensor or digital logs<\/td>\n<td width=\"225\">Time-stamped event data<\/td>\n<td width=\"225\">App session duration for 12,000 users<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Levels_of_Measurement\"><\/span>Levels of Measurement<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Every variable belongs to 1 of 4 measurement levels, and that level dictates which statistics are legitimate. Calculating a mean for a nominal variable such as blood type produces a number with no interpretable meaning.<\/p>\n<table width=\"624\">\n<thead>\n<tr>\n<td width=\"156\"><strong>Level<\/strong><\/td>\n<td width=\"156\"><strong>Description<\/strong><\/td>\n<td width=\"156\"><strong>Example<\/strong><\/td>\n<td width=\"156\"><strong>Typical statistics<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td width=\"156\"><a href=\"https:\/\/researcher.life\/blog\/article\/levels-of-measurement-nominal-ordinal-interval-ratio-examples\/#Nominal_Scale\">Nominal<\/a><\/td>\n<td width=\"156\">Unordered categories<\/td>\n<td width=\"156\">Blood type, region<\/td>\n<td width=\"156\">Mode, frequency, chi-square<\/td>\n<\/tr>\n<tr>\n<td width=\"156\"><a href=\"https:\/\/researcher.life\/blog\/article\/levels-of-measurement-nominal-ordinal-interval-ratio-examples\/#Ordinal_Scale\">Ordinal<\/a><\/td>\n<td width=\"156\">Ranked, unequal gaps<\/td>\n<td width=\"156\">Agreement rating<\/td>\n<td width=\"156\">Median, rank-based tests<\/td>\n<\/tr>\n<tr>\n<td width=\"156\"><a href=\"https:\/\/researcher.life\/blog\/article\/levels-of-measurement-nominal-ordinal-interval-ratio-examples\/#Interval_Scale\">Interval<\/a><\/td>\n<td width=\"156\">Equal gaps, no true zero<\/td>\n<td width=\"156\">Temperature in Celsius<\/td>\n<td width=\"156\">Mean, standard deviation<\/td>\n<\/tr>\n<tr>\n<td width=\"156\"><a href=\"https:\/\/researcher.life\/blog\/article\/levels-of-measurement-nominal-ordinal-interval-ratio-examples\/#Ratio_Scale\">Ratio<\/a><\/td>\n<td width=\"156\">Equal gaps, true zero<\/td>\n<td width=\"156\">Weight, income, reaction time<\/td>\n<td width=\"156\">All statistics, ratios<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Ensuring_Validity_and_Reliability\"><\/span>Ensuring Validity and Reliability<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Reliability concerns consistency; validity concerns accuracy. An instrument can be highly reliable and still invalid: a scale that reads 2 kg heavy every time is perfectly consistent and consistently wrong.<\/p>\n<ul>\n<li><strong><a href=\"https:\/\/www.editage.com\/blog\/how-to-create-your-scale-for-research-types-of-reliability-validity-in-research\/#What_Is_Internal_Consistency_Reliability_and_How_Is_It_Measured\">Internal consistency<\/a>: <\/strong>check that items on a scale correlate, with Cronbach alpha of 0.70 or above as a common threshold.<\/li>\n<li><strong><a href=\"https:\/\/www.editage.com\/blog\/how-to-create-your-scale-for-research-types-of-reliability-validity-in-research\/#Test-Retest_Reliability\">Test-retest reliability<\/a>: <\/strong>administer the instrument twice, typically 2 to 4 weeks apart, and correlate the scores.<\/li>\n<li><strong><a href=\"https:\/\/www.editage.com\/blog\/how-to-create-your-scale-for-research-types-of-reliability-validity-in-research\/#Inter-Rater_Reliability\">Inter-rater reliability<\/a>: <\/strong>have 2 or more trained observers code the same events and compute agreement.<\/li>\n<li><strong><a href=\"https:\/\/www.editage.com\/blog\/how-to-create-your-scale-for-research-types-of-reliability-validity-in-research\/#Construct_Validity_Convergent_and_Divergent_Evidence\">Construct validity<\/a>: <\/strong>verify that the measure correlates with related measures and diverges from unrelated ones.<\/li>\n<li><strong>Pilot testing: <\/strong>run the full protocol on 20 to 50 cases to expose ambiguous wording and technical faults.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h1><span class=\"ez-toc-section\" id=\"Data_Analysis_in_Quantitative_Research\"><\/span>Data Analysis in Quantitative Research<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p>Analysis proceeds in a fixed order: clean the data, describe it, check assumptions, then test hypotheses. Skipping the early steps is the most frequent source of published errors, because outliers and missing values silently distort every downstream result.<\/p>\n<p>Data cleaning includes screening for impossible values or outliers, documenting and imputing missing data, and reverse-scoring items where needed. Record every decision, since reviewers will ask how missing cases were handled.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Descriptive_Statistics\"><\/span>Descriptive Statistics<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Descriptive statistics summarize the sample itself. They tell the reader what the data look like before any inference is attempted, and they expose skew, clustering, and extreme values.<\/p>\n<table width=\"624\">\n<thead>\n<tr>\n<td width=\"173\"><strong>Statistic<\/strong><\/td>\n<td width=\"225\"><strong>What it shows<\/strong><\/td>\n<td width=\"225\"><strong>Example<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td width=\"173\"><a href=\"https:\/\/www.editage.com\/blog\/what-are-descriptive-statistics-types-choosing-reporting\/#How_to_Calculate_the_Mean\">Mean<\/a><\/td>\n<td width=\"225\">Arithmetic average of all values<\/td>\n<td width=\"225\">Mean exam score of 72.4 out of 100<\/td>\n<\/tr>\n<tr>\n<td width=\"173\"><a href=\"https:\/\/www.editage.com\/blog\/what-are-descriptive-statistics-types-choosing-reporting\/#Calculating_the_Median\">Median<\/a><\/td>\n<td width=\"225\">Middle value when data are ordered<\/td>\n<td width=\"225\">Median annual income of 48,000 units<\/td>\n<\/tr>\n<tr>\n<td width=\"173\"><a href=\"https:\/\/www.editage.com\/blog\/what-are-descriptive-statistics-types-choosing-reporting\/#Standard_Deviation_Step-by-Step_Calculation\">Standard deviation<\/a><\/td>\n<td width=\"225\">Typical distance from the mean<\/td>\n<td width=\"225\">Standard deviation of 8.1 points<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Frequency and percentage<\/td>\n<td width=\"225\">Distribution across categories<\/td>\n<td width=\"225\">62% of respondents selected option A<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Inferential_Statistics\"><\/span>Inferential Statistics<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Inferential statistics move from sample to population. They estimate parameters, quantify uncertainty, and test whether an observed pattern is likely to reflect something real rather than sampling noise.<\/p>\n<ul>\n<li>Estimation: report a point estimate with a 95% confidence interval, such as a 4.2-point gain with an interval of 1.8 to 6.6.<\/li>\n<li>Hypothesis testing: compare observed data against the null hypothesis and report the test statistic, degrees of freedom, and p-value.<\/li>\n<li>Effect size: report Cohen d, eta squared, or R squared so readers can judge practical importance.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"What_Does_a_p-value_Actually_Tell_You\"><\/span>What Does a p-value Actually Tell You?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>A p-value is the probability of observing data at least as extreme as yours if the null hypothesis were true. It is not the probability that your hypothesis is correct, and it says nothing about effect size.<\/p>\n<p>A p-value of 0.03 with a sample of 30,000 may reflect a difference too small to matter in practice. Always pair significance with an effect size and a confidence interval; that combination tells the reader whether the finding is both real and useful.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Choosing_the_Right_Statistical_Test\"><\/span>Choosing the Right Statistical Test<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Test selection follows mechanically from 3 questions: what is the research aim, how many groups or predictors are involved, and what is the level of measurement of each variable.<\/p>\n<table width=\"624\">\n<thead>\n<tr>\n<td width=\"156\"><strong>Research aim<\/strong><\/td>\n<td width=\"156\"><strong>Independent variable<\/strong><\/td>\n<td width=\"156\"><strong>Dependent variable<\/strong><\/td>\n<td width=\"156\"><strong>Test<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td width=\"156\">Compare 2 independent groups<\/td>\n<td width=\"156\">Categorical, 2 levels<\/td>\n<td width=\"156\">Continuous<\/td>\n<td width=\"156\"><a href=\"https:\/\/www.editage.com\/blog\/t-test-definition-assumptions-formula-calculation\/#Independent_Samples_T-Test_Formula_Equal_Variances_Assumed\">Independent-samples t-test<\/a><\/td>\n<\/tr>\n<tr>\n<td width=\"156\">Compare 3 or more groups<\/td>\n<td width=\"156\">Categorical, 3+ levels<\/td>\n<td width=\"156\">Continuous<\/td>\n<td width=\"156\"><a href=\"https:\/\/www.editage.com\/blog\/anova-types-uses-assumptions-a-quick-guide-for-biomedical-researchers\/#One-Way_ANOVA\">One-way ANOVA<\/a><\/td>\n<\/tr>\n<tr>\n<td width=\"156\">Compare 1 group at 2 times<\/td>\n<td width=\"156\">Time, 2 points<\/td>\n<td width=\"156\">Continuous<\/td>\n<td width=\"156\"><a href=\"https:\/\/www.editage.com\/blog\/t-test-definition-assumptions-formula-calculation\/#Paired_Samples_T-Test_Formula\">Paired-samples t-test<\/a><\/td>\n<\/tr>\n<tr>\n<td width=\"156\">Measure association<\/td>\n<td width=\"156\">Continuous<\/td>\n<td width=\"156\">Continuous<\/td>\n<td width=\"156\"><a href=\"https:\/\/www.editage.com\/blog\/pearson-correlation-coefficient-definition-examples\/#The_Pearson_Correlation_Coefficient_Formula\">Pearson correlation<\/a><\/td>\n<\/tr>\n<tr>\n<td width=\"156\">Predict a continuous outcome<\/td>\n<td width=\"156\">2 or more predictors<\/td>\n<td width=\"156\">Continuous<\/td>\n<td width=\"156\"><a href=\"https:\/\/www.editage.com\/blog\/what-is-regression-and-types-of-regression-for-biomedical-researchers\/#Multiple_Linear_Regression\">Multiple regression<\/a><\/td>\n<\/tr>\n<tr>\n<td width=\"156\">Predict a binary outcome<\/td>\n<td width=\"156\">1 or more predictors<\/td>\n<td width=\"156\">Binary<\/td>\n<td width=\"156\"><a href=\"https:\/\/www.editage.com\/blog\/what-is-regression-and-types-of-regression-for-biomedical-researchers\/#Logistic_Regression\">Logistic regression<\/a><\/td>\n<\/tr>\n<tr>\n<td width=\"156\">Test category independence<\/td>\n<td width=\"156\">Categorical<\/td>\n<td width=\"156\">Categorical<\/td>\n<td width=\"156\"><a href=\"https:\/\/www.editage.com\/blog\/chi-square-test-types-explained-for-biomedical-researchers\/\">Chi-square test<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Reporting_Results_Accurately\"><\/span>Reporting Results Accurately<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Transparent reporting lets others evaluate and replicate the work. Most journals now expect a preregistered analysis plan or, at minimum, a clear statement of which analyses were planned and which were exploratory.<\/p>\n<ul>\n<li>Report exact p-values rather than thresholds, except for very small values written as p &lt; 0.001.<\/li>\n<li>Include effect sizes and confidence intervals for every primary outcome.<\/li>\n<li>State the number of cases excluded and the reason for each exclusion.<\/li>\n<li>Distinguish confirmatory tests from exploratory analyses, and label them as such.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h1><span class=\"ez-toc-section\" id=\"Quantitative_vs_Qualitative_Research\"><\/span>Quantitative vs. Qualitative Research<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p>The 2 traditions answer different kinds of questions. Treating them as rivals is a category error: quantitative work establishes how widespread or how large something is, while qualitative work explains what it means to the people involved.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_Do_Quantitative_and_Qualitative_Research_Differ\"><\/span>How Do Quantitative and Qualitative Research Differ?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>They differ in data type, logic, and goal: quantitative research uses numbers and deductive testing to generalize, while <a href=\"https:\/\/researcher.life\/blog\/article\/what-is-qualitative-research-methods-types-examples\/\">qualitative research<\/a> uses text and inductive interpretation to understand context and meaning.<\/p>\n<table width=\"624\">\n<thead>\n<tr>\n<td width=\"173\"><strong>Dimension<\/strong><\/td>\n<td width=\"225\"><strong>Quantitative research<\/strong><\/td>\n<td width=\"225\"><strong>Qualitative research<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td width=\"173\">Primary goal<\/td>\n<td width=\"225\">Measure, compare, and test predictions<\/td>\n<td width=\"225\">Explore meaning and generate theory<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Data type<\/td>\n<td width=\"225\">Numbers, scores, counts, rates<\/td>\n<td width=\"225\">Words, images, observations, artifacts<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Reasoning<\/td>\n<td width=\"225\">Deductive: theory leads to data<\/td>\n<td width=\"225\">Inductive: data lead to theory<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Sample size<\/td>\n<td width=\"225\">Large, often 100 to 10,000 or more<\/td>\n<td width=\"225\">Small, often 5 to 50 participants<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Instruments<\/td>\n<td width=\"225\"><a href=\"https:\/\/www.editage.com\/blog\/questionnaire-survey-research\/\">Fixed questionnaires<\/a> and standardized tests<\/td>\n<td width=\"225\">Interview guides and field notes<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Analysis<\/td>\n<td width=\"225\">Statistical tests and modeling<\/td>\n<td width=\"225\">Thematic, narrative, or discourse coding<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Researcher role<\/td>\n<td width=\"225\">Detached and standardized<\/td>\n<td width=\"225\">Engaged and reflexive<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Typical output<\/td>\n<td width=\"225\">Rates, effect sizes, confidence intervals<\/td>\n<td width=\"225\">Themes, categories, illustrative quotations<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Main strength<\/td>\n<td width=\"225\">Precision and generalizability<\/td>\n<td width=\"225\">Depth and contextual insight<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Mixed-Methods_Research\"><\/span>Mixed-Methods Research<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"https:\/\/www.editage.com\/blog\/mixed-methods-research\/\">Mixed-methods designs<\/a> combine both traditions in 1 study, using each to compensate for the weaknesses of the other. The sequencing depends on what the researcher needs first.<\/p>\n<ul>\n<li><strong>Explanatory sequential: <\/strong>collect survey data, then interview a subset to explain surprising patterns.<\/li>\n<li><strong>Exploratory sequential: <\/strong>run interviews first, then build and validate a questionnaire from the themes.<\/li>\n<li><strong>Convergent parallel: <\/strong>collect both data types at once and compare conclusions for agreement.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h1><span class=\"ez-toc-section\" id=\"Advantages_of_Quantitative_Research\"><\/span>Advantages of Quantitative Research<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p>The strengths of quantitative research follow directly from standardization and scale. Numbers are compact, comparable, and portable across contexts, which makes them the working currency of evidence-based policy and practice.<\/p>\n<table width=\"624\">\n<thead>\n<tr>\n<td width=\"200\"><strong>Advantage<\/strong><\/td>\n<td width=\"424\"><strong>What it means in practice<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td width=\"200\">Generalizability<\/td>\n<td width=\"424\">A representative sample of 1,500 can support inferences about a population of millions.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\">Objectivity<\/td>\n<td width=\"424\">Standardized instruments limit the influence of researcher expectations on responses.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\">Replicability<\/td>\n<td width=\"424\">Documented protocols allow independent teams to repeat the study and verify findings.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\">Precision<\/td>\n<td width=\"424\">Effects are reported as specific magnitudes with quantified uncertainty.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\">Causal inference<\/td>\n<td width=\"424\">Randomized experiments isolate the effect of an intervention from competing explanations.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\">Predictive power<\/td>\n<td width=\"424\">Regression and machine learning models forecast outcomes for new cases.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h1><span class=\"ez-toc-section\" id=\"Disadvantages_of_Quantitative_Research\"><\/span>Disadvantages of Quantitative Research<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p>The same features that make quantitative research powerful also constrain it. Reducing a complex human experience to a score discards information, and that loss is invisible in the final dataset.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Where_Does_Quantitative_Research_Fall_Short\"><\/span>Where Does Quantitative Research Fall Short?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>It falls short on context, meaning, and unanticipated findings. Fixed instruments capture only what the researcher thought to ask, so explanations and unexpected phenomena remain outside the data.<\/p>\n<table width=\"624\">\n<thead>\n<tr>\n<td width=\"200\"><strong>Limitation<\/strong><\/td>\n<td width=\"424\"><strong>Consequence<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td width=\"200\">Loss of context<\/td>\n<td width=\"424\">Numbers show that an effect exists but not why participants behaved that way.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\">Rigid instruments<\/td>\n<td width=\"424\">Closed questions cannot capture experiences the researcher failed to anticipate.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\">Construct oversimplification<\/td>\n<td width=\"424\">Complex concepts such as wellbeing and quality of life are compressed into a single composite score.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\">Sampling bias<\/td>\n<td width=\"424\">Non-representative samples yield precise numbers that describe the wrong population.<\/td>\n<\/tr>\n<tr>\n<td width=\"200\">Cost and time<\/td>\n<td width=\"424\">Large probability samples, trials, and longitudinal follow-up require substantial funding.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_Can_You_Offset_the_Limitations\"><\/span>How Can You Offset the Limitations?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Offset them with design choices, not with post hoc statistics: preregister the analysis, validate instruments, use probability sampling, and add a qualitative component where explanation matters.<\/p>\n<ul>\n<li>Preregister hypotheses and analysis plans to prevent selective reporting of favorable results.<\/li>\n<li>Include 1 or 2 open-ended items in a survey to capture what closed questions miss.<\/li>\n<li>Report response rates, attrition, and any differences between responders and non-responders.<\/li>\n<li>Triangulate self-reported data against behavioral or administrative records where feasible.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h1><span class=\"ez-toc-section\" id=\"When_to_Choose_a_Quantitative_Research_Design\"><\/span>When to Choose a Quantitative Research Design<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p>The choice is dictated by the question, not by preference or convenience. If the answer you need is a number, a rate, a difference, or a prediction, a quantitative design is appropriate.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"When_Is_Quantitative_Research_the_Right_Choice\"><\/span>When Is Quantitative Research the Right Choice?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>It is the right choice when your question asks how many, how much, how often, or whether X affects Y, and when the concepts involved can be measured reliably with existing instruments.<\/p>\n<ul>\n<li>You need to estimate prevalence or track a trend across time or regions.<\/li>\n<li>You need to compare groups on a defined outcome with quantified uncertainty.<\/li>\n<li>You need to test a specific hypothesis derived from established theory.<\/li>\n<li>You need to evaluate whether an intervention works and by how much.<\/li>\n<li>You need results that generalize to a defined population for policy or regulatory use.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>Choose qualitative methods instead when the concept is poorly understood, when no validated instrument exists, or when the goal is to understand lived experience. Choose mixed methods when you need both the magnitude and the explanation.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_to_Set_Up_a_Quantitative_Study\"><\/span>How to Set Up a Quantitative Study<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Work through these steps in order before committing resources. Each step closes off designs that cannot answer your question.<\/p>\n<ul>\n<li><strong> Define the question: <\/strong>state the population, the variables, and the comparison or relationship of interest.<\/li>\n<li><strong> Check measurability: <\/strong>confirm that each concept has a valid, reliable indicator available.<\/li>\n<li><strong> Select the design: <\/strong>match the claim you need to descriptive, correlational, quasi-experimental, or experimental logic.<\/li>\n<li><strong> Plan the sample: <\/strong>define the sampling frame, method, and size through a formal power analysis.<\/li>\n<li><strong> Specify the analysis: <\/strong>name the statistical test and assumption checks before collecting data.<\/li>\n<li><strong> Address ethics and feasibility: <\/strong>secure <a href=\"https:\/\/www.editage.com\/blog\/informed-consent-and-irb-approval-a-practical-guide-for-researchers\/\">IRB approval<\/a>, plan consent, and confirm the budget and timeline.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Examples_Across_Disciplines\"><\/span>Examples Across Disciplines<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The same 4 designs recur across fields, adapted to different variables and constraints.<\/p>\n<table width=\"624\">\n<thead>\n<tr>\n<td width=\"173\"><strong>Field<\/strong><\/td>\n<td width=\"225\"><strong>Research question<\/strong><\/td>\n<td width=\"225\"><strong>Design<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td width=\"173\">Education<\/td>\n<td width=\"225\">Does 20 minutes of daily guided reading raise comprehension scores?<\/td>\n<td width=\"225\">Experimental<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Public health<\/td>\n<td width=\"225\">What share of adults meets weekly physical activity guidelines?<\/td>\n<td width=\"225\">Descriptive<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Marketing<\/td>\n<td width=\"225\">Is price sensitivity related to household income?<\/td>\n<td width=\"225\">Correlational<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Clinical psychology<\/td>\n<td width=\"225\">Does an 8-week therapy program reduce anxiety scores?<\/td>\n<td width=\"225\">Quasi-experimental<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Economics<\/td>\n<td width=\"225\">How did a 2019 tax change affect small-business hiring?<\/td>\n<td width=\"225\">Quasi-experimental<\/td>\n<\/tr>\n<tr>\n<td width=\"173\">Engineering<\/td>\n<td width=\"225\">Which of 3 composite materials shows the lowest failure rate?<\/td>\n<td width=\"225\">Experimental<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h1><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span>Frequently Asked Questions<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<h2><span class=\"ez-toc-section\" id=\"What_is_quantitative_research_in_simple_terms\"><\/span>What is quantitative research in simple terms?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Quantitative research is the study of things you can count or measure. Researchers turn a question into numbers, collect those numbers from a sample of people or cases, and use statistics to find patterns. The goal is to produce results that hold beyond the specific group studied.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_are_the_4_types_of_quantitative_research_designs\"><\/span>What are the 4 types of quantitative research designs?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The 4 types are descriptive, correlational, quasi-experimental, and experimental. Descriptive designs measure how common something is. Correlational designs test whether variables move together. Quasi-experimental designs evaluate interventions without random assignment. Experimental designs use randomization to establish cause and effect.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_is_the_difference_between_quantitative_and_qualitative_research_methods\"><\/span>What is the difference between quantitative and qualitative research methods?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Quantitative methods collect numerical data from large samples and analyze it statistically to test hypotheses and generalize. Qualitative methods collect text, images, or observations from small samples and interpret them to understand meaning and context. Quantitative work answers how many and how much; qualitative work answers why and how.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_do_you_write_a_quantitative_research_question_and_hypothesis\"><\/span>How do you write a quantitative research question and hypothesis?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Start by naming the population, the independent variable, and the dependent variable, then state the comparison or relationship you want to test. Convert that question into a null hypothesis of no effect and an alternative hypothesis stating the expected effect. Add operational definitions so every variable has 1 fixed measurement procedure.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_sample_size_do_I_need_for_quantitative_research\"><\/span>What sample size do I need for quantitative research?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Calculate sample size with a power analysis rather than using a rule of thumb. You need 4 inputs: expected effect size, significance level (typically 0.05), desired power (typically 0.80), and outcome variability. Then add 10% to 30% to cover dropout and unusable responses. Smaller expected effects require substantially larger samples.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Which_statistical_test_should_I_use_for_my_quantitative_data\"><\/span>Which statistical test should I use for my quantitative data?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Answer 3 questions first: are you comparing groups, testing an association, or predicting an outcome; how many groups or predictors are involved; and what is the measurement level of each variable. Comparing 2 groups on a continuous outcome calls for a t-test, 3 or more groups calls for ANOVA, and prediction calls for regression.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Can_quantitative_research_prove_cause_and_effect\"><\/span>Can quantitative research prove cause and effect?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Only randomized experiments support strong causal claims, because random assignment balances groups on unmeasured characteristics. Quasi-experimental designs can support probable causal claims when confounders are controlled well. Descriptive and correlational designs cannot establish causation, no matter how large the sample or how small the p-value.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_are_some_examples_of_quantitative_research_in_everyday_settings\"><\/span>What are some examples of quantitative research in everyday settings?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Common examples include customer satisfaction surveys reporting scores by segment, A\/B tests comparing 2 website layouts across 50,000 visitors, school district reports on test performance across 5 years, clinical trials comparing a drug against a placebo, and census data describing household size and income distribution.<\/p>\n","protected":false},"excerpt":{"rendered":"Key Takeaways: Quantitative research collects numerical data and analyzes it statistically to test hypotheses, measure variables, and generalize findings from a sample to a larger population. There are 4 core designs: descriptive, correlational, quasi-experimental, and experimental. Only true experiments with random assignment support strong claims about cause and effect. The credibility of a quantitative study [&hellip;]","protected":false},"author":3,"featured_media":2006,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_ayudawp_aiss_exclude":false,"_ayudawp_aiss_summary":"Quantitative research collects numerical data and analyzes it statistically to test hypotheses, measure variables, and generalize findings from a sample to a larger population. Quantitative research is defined by 3 features: numerical data, standardized measurement, and statistical analysis. They differ in data type, logic, and goal: quantitative research uses numbers and deductive testing to generalize, while qualitative research uses text and inductive interpretation to understand context and meaning. &nbsp;.","_ayudawp_aiss_summary_provider":"extractive","_ayudawp_aiss_summary_hash":"6f82a28b6bacde86c27e6d9a3a4297ce4d1ee1d6"},"categories":[14],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What is Quantitative Research? Methodology, Types, Examples - Educational Articles For Researchers, Students And Authors - Editage Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is Quantitative Research? Methodology, Types, Examples - Educational Articles For Researchers, Students And Authors - Editage Blog\" \/>\n<meta property=\"og:description\" content=\"Key Takeaways: Quantitative research collects numerical data and analyzes it statistically to test hypotheses, measure variables, and generalize findings from a sample to a larger population. There are 4 core designs: descriptive, correlational, quasi-experimental, and experimental. Only true experiments with random assignment support strong claims about cause and effect. The credibility of a quantitative study [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/\" \/>\n<meta property=\"og:site_name\" content=\"Educational Articles For Researchers, Students And Authors - Editage Blog\" \/>\n<meta property=\"article:published_time\" content=\"2026-08-14T04:00:27+00:00\" \/>\n<meta name=\"author\" content=\"Marisha Rodrigues\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Marisha Rodrigues\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"18 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/\"},\"author\":{\"name\":\"Marisha Rodrigues\",\"@id\":\"https:\/\/www.editage.com\/blog\/#\/schema\/person\/60d7626072744221b2260692486b6ff1\"},\"headline\":\"What is Quantitative Research? Methodology, Types, Examples\",\"datePublished\":\"2026-08-14T04:00:27+00:00\",\"dateModified\":\"2026-08-14T04:00:27+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/\"},\"wordCount\":3858,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.editage.com\/blog\/#organization\"},\"articleSection\":[\"Research Tips\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/\",\"url\":\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/\",\"name\":\"What is Quantitative Research? Methodology, Types, Examples - Educational Articles For Researchers, Students And Authors - Editage Blog\",\"isPartOf\":{\"@id\":\"https:\/\/www.editage.com\/blog\/#website\"},\"datePublished\":\"2026-08-14T04:00:27+00:00\",\"dateModified\":\"2026-08-14T04:00:27+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.editage.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"What is Quantitative Research? Methodology, Types, Examples\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.editage.com\/blog\/#website\",\"url\":\"https:\/\/www.editage.com\/blog\/\",\"name\":\"Educational Articles For Researchers, Students And Authors - Editage Blog\",\"description\":\"Get insightful educational articles from the world of academia for researchers, students and authors. Visit Editage Blog for helpful content and tips on getting published and writing articles that are up to international journal publication standards. Click here to find out more!\",\"publisher\":{\"@id\":\"https:\/\/www.editage.com\/blog\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.editage.com\/blog\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.editage.com\/blog\/#organization\",\"name\":\"Educational Articles For Researchers, Students And Authors - Editage Blog\",\"url\":\"https:\/\/www.editage.com\/blog\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.editage.com\/blog\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.editage.com\/blog\/wp-content\/uploads\/2022\/08\/editage-logo.png\",\"contentUrl\":\"https:\/\/www.editage.com\/blog\/wp-content\/uploads\/2022\/08\/editage-logo.png\",\"width\":394,\"height\":82,\"caption\":\"Educational Articles For Researchers, Students And Authors - Editage Blog\"},\"image\":{\"@id\":\"https:\/\/www.editage.com\/blog\/#\/schema\/logo\/image\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.editage.com\/blog\/#\/schema\/person\/60d7626072744221b2260692486b6ff1\",\"name\":\"Marisha Rodrigues\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.editage.com\/blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/3fdb8ce7f366f83f27047a1644a5ff30?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/3fdb8ce7f366f83f27047a1644a5ff30?s=96&d=mm&r=g\",\"caption\":\"Marisha Rodrigues\"},\"description\":\"A BELS-certified editor with 15+ years of experience in academic publishing and author education\",\"url\":\"https:\/\/www.editage.com\/blog\/author\/marishar\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"What is Quantitative Research? Methodology, Types, Examples - Educational Articles For Researchers, Students And Authors - Editage Blog","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/","og_locale":"en_US","og_type":"article","og_title":"What is Quantitative Research? Methodology, Types, Examples - Educational Articles For Researchers, Students And Authors - Editage Blog","og_description":"Key Takeaways: Quantitative research collects numerical data and analyzes it statistically to test hypotheses, measure variables, and generalize findings from a sample to a larger population. There are 4 core designs: descriptive, correlational, quasi-experimental, and experimental. Only true experiments with random assignment support strong claims about cause and effect. The credibility of a quantitative study [&hellip;]","og_url":"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/","og_site_name":"Educational Articles For Researchers, Students And Authors - Editage Blog","article_published_time":"2026-08-14T04:00:27+00:00","author":"Marisha Rodrigues","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Marisha Rodrigues","Est. reading time":"18 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#article","isPartOf":{"@id":"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/"},"author":{"name":"Marisha Rodrigues","@id":"https:\/\/www.editage.com\/blog\/#\/schema\/person\/60d7626072744221b2260692486b6ff1"},"headline":"What is Quantitative Research? Methodology, Types, Examples","datePublished":"2026-08-14T04:00:27+00:00","dateModified":"2026-08-14T04:00:27+00:00","mainEntityOfPage":{"@id":"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/"},"wordCount":3858,"commentCount":0,"publisher":{"@id":"https:\/\/www.editage.com\/blog\/#organization"},"articleSection":["Research Tips"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/","url":"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/","name":"What is Quantitative Research? Methodology, Types, Examples - Educational Articles For Researchers, Students And Authors - Editage Blog","isPartOf":{"@id":"https:\/\/www.editage.com\/blog\/#website"},"datePublished":"2026-08-14T04:00:27+00:00","dateModified":"2026-08-14T04:00:27+00:00","breadcrumb":{"@id":"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.editage.com\/blog\/what-is-quantitative-research-methodology-types-examples\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.editage.com\/blog\/"},{"@type":"ListItem","position":2,"name":"What is Quantitative Research? Methodology, Types, Examples"}]},{"@type":"WebSite","@id":"https:\/\/www.editage.com\/blog\/#website","url":"https:\/\/www.editage.com\/blog\/","name":"Educational Articles For Researchers, Students And Authors - Editage Blog","description":"Get insightful educational articles from the world of academia for researchers, students and authors. Visit Editage Blog for helpful content and tips on getting published and writing articles that are up to international journal publication standards. Click here to find out more!","publisher":{"@id":"https:\/\/www.editage.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.editage.com\/blog\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.editage.com\/blog\/#organization","name":"Educational Articles For Researchers, Students And Authors - Editage Blog","url":"https:\/\/www.editage.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.editage.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/www.editage.com\/blog\/wp-content\/uploads\/2022\/08\/editage-logo.png","contentUrl":"https:\/\/www.editage.com\/blog\/wp-content\/uploads\/2022\/08\/editage-logo.png","width":394,"height":82,"caption":"Educational Articles For Researchers, Students And Authors - Editage Blog"},"image":{"@id":"https:\/\/www.editage.com\/blog\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/www.editage.com\/blog\/#\/schema\/person\/60d7626072744221b2260692486b6ff1","name":"Marisha Rodrigues","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.editage.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/3fdb8ce7f366f83f27047a1644a5ff30?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/3fdb8ce7f366f83f27047a1644a5ff30?s=96&d=mm&r=g","caption":"Marisha Rodrigues"},"description":"A BELS-certified editor with 15+ years of experience in academic publishing and author education","url":"https:\/\/www.editage.com\/blog\/author\/marishar\/"}]}},"jetpack_featured_media_url":"https:\/\/www.editage.com\/blog\/wp-content\/uploads\/2026\/08\/Quantitative-Research.jpg","_links":{"self":[{"href":"https:\/\/www.editage.com\/blog\/wp-json\/wp\/v2\/posts\/2004"}],"collection":[{"href":"https:\/\/www.editage.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.editage.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.editage.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.editage.com\/blog\/wp-json\/wp\/v2\/comments?post=2004"}],"version-history":[{"count":1,"href":"https:\/\/www.editage.com\/blog\/wp-json\/wp\/v2\/posts\/2004\/revisions"}],"predecessor-version":[{"id":2005,"href":"https:\/\/www.editage.com\/blog\/wp-json\/wp\/v2\/posts\/2004\/revisions\/2005"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.editage.com\/blog\/wp-json\/wp\/v2\/media\/2006"}],"wp:attachment":[{"href":"https:\/\/www.editage.com\/blog\/wp-json\/wp\/v2\/media?parent=2004"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.editage.com\/blog\/wp-json\/wp\/v2\/categories?post=2004"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.editage.com\/blog\/wp-json\/wp\/v2\/tags?post=2004"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}