方法对比
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| 比较关系调查× | Comparative Survey Research× | |
|---|---|---|
| 领域 | 研究设计 | 研究设计 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | Mid-20th century onward; systematized in educational research c. 1960s–1990s | Mid-20th century onward |
| 提出者≠ | Rooted in survey methodology tradition; formalized by scholars such as Fraenkel, Wallen, and Creswell | Rooted in survey methodology traditions (Gallup, Likert, Lazarsfeld mid-20th century); comparative extension codified in social science research methods literature |
| 类型≠ | Quantitative non-experimental survey design | Quantitative non-experimental research design |
| 开创性文献≠ | Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2009). How to Design and Evaluate Research in Education (8th ed.). McGraw-Hill. ISBN: 978-0073525 670 | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 |
| 别名≠ | comparative correlational survey, multi-group relational survey, cross-group relational survey design | comparative survey design, cross-group survey, multi-group survey research, comparative questionnaire study |
| 相关 | 4 | 4 |
| 摘要≠ | A comparative relational survey is a quantitative, non-experimental design that examines the relationships among variables within a single study while simultaneously comparing those relationship patterns across two or more distinct groups. It extends a standard relational (correlational) survey by adding a comparative dimension, revealing whether associations observed in one group hold, differ, or even reverse in another. It is widely used in education, psychology, organizational behavior, and health sciences. | 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. |
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