Compara mètodes

	Investigació quantitativa exploratòria comparativa	Disseny descriptiu de recerca
Camp	Disseny de recerca	Disseny de recerca
Família	Process / pipeline	Process / pipeline
Any d'origen	Mid-to-late 20th century	Late 19th century; formalized in social/behavioral sciences ~1960s–1980s
Autor original	No single originator; codified in quantitative research methodology traditions (20th century)	Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger
Tipus	Quantitative research design	Non-experimental quantitative research design
Font seminal	Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage Publications. ISBN: 978-1452226101	Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101
Àlies	exploratory comparative quantitative design, comparative exploratory survey research, quantitative comparative exploration, CEQR design	descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research
Relacionats	3	3
Resum	Comparative exploratory quantitative research is a design that uses structured numerical data collection to discover patterns, differences, and relationships across two or more distinct groups or conditions — without a fully specified hypothesis in advance. It sits at the intersection of exploratory intent and comparative structure: the researcher does not enter the field with a predetermined answer but organises the inquiry around a comparison that will generate quantitative insights. The design is common in social, educational, and behavioural sciences when a phenomenon is insufficiently understood to permit confirmatory testing but structured group comparison is still feasible and informative.	Descriptive research is a non-experimental quantitative design that systematically documents the characteristics, frequencies, or distributions of variables in a defined population at a given point in time. It answers 'what is' questions — who, what, when, where, and how much — without manipulating variables or drawing causal conclusions. It is one of the most widely used research designs across the social, behavioral, health, and education sciences.