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| Nghiên cứu khảo sát so sánh× | Nghiên cứu mô tả× | |
|---|---|---|
| Lĩnh vực | Thiết kế nghiên cứu | Thiết kế nghiên cứu |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | Mid-20th century onward | Late 19th century; formalized in social/behavioral sciences ~1960s–1980s |
| Người khởi xướng≠ | Rooted in survey methodology traditions (Gallup, Likert, Lazarsfeld mid-20th century); comparative extension codified in social science research methods literature | Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger |
| Loại≠ | Quantitative non-experimental research design | Non-experimental quantitative research design |
| Công trình gốc≠ | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 |
| Tên gọi khác | comparative survey design, cross-group survey, multi-group survey research, comparative questionnaire study | descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research |
| Liên quan≠ | 4 | 3 |
| Tóm tắt≠ | Comparative survey research is a quantitative non-experimental design that systematically collects structured survey data from two or more clearly defined groups, populations, or contexts in order to identify, describe, and analyze similarities and differences among them. It extends basic survey research by making comparison the explicit organizing logic: rather than characterizing a single population, the goal is to detect how attitudes, behaviors, or outcomes vary across groups defined by nationality, culture, profession, demographic category, or time period. | 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. |
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