Porovnat metody

	Mnohorozměrový explorativní kvantitativní výzkum	Exploratory Quantitative Research
Obor	Design výzkumu	Design výzkumu
Rodina	Process / pipeline	Process / pipeline
Rok vzniku	1930s–1960s (foundational multivariate methods); codified in research design literature from the 1980s onward	Mid-20th century (codified in social research methods texts c. 1950s–1970s)
Tvůrce	Hair, Tabachnick, and colleagues (canonical synthesis); roots in Fisher, Hotelling, and Thurstone (early 20th century)	Earl Babbie; John Creswell (systematic codification in social science methods)
Typ	Quantitative research design	Non-experimental quantitative research design
Původní zdroj	Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540	Babbie, E. (2021). The Practice of Social Research (15th ed.). Cengage Learning. ISBN: 978-0357360767
Další názvy	multivariate exploratory design, exploratory multivariate analysis, multivariate data exploration, MEQ research	quantitative exploratory design, exploratory survey research, initial quantitative investigation, preliminary quantitative study
Příbuzné	5	4
Shrnutí	Multivariate exploratory quantitative research is a design in which researchers simultaneously examine multiple quantitative variables without imposing a predetermined structural model, using techniques such as exploratory factor analysis, cluster analysis, or principal component analysis to detect latent patterns, natural groupings, or underlying dimensions in the data. The goal is discovery and pattern recognition rather than hypothesis confirmation.	Exploratory quantitative research is a non-experimental design used when a phenomenon is insufficiently understood to support formal hypothesis testing. The researcher collects numerical data — typically through surveys, structured observation, or existing records — to describe distributions, detect patterns, and generate hypotheses that more targeted confirmatory studies can subsequently test. It occupies the first stage of a cumulative quantitative research programme.