So sánh phương pháp

	Thiết kế Khảo sát Quan hệ So sánh	Nghiên cứu khảo sát tương quan
Lĩnh vực	Thiết kế nghiên cứu	Thiết kế nghiên cứu
Họ	Process / pipeline	Process / pipeline
Năm ra đời	Mid-20th century onward; systematized in educational research c. 1960s–1990s	Mid-20th century onward (systematised ~1960s–1990s)
Người khởi xướng	Rooted in survey methodology tradition; formalized by scholars such as Fraenkel, Wallen, and Creswell	Established in educational and social science research methodology; systematised by Fraenkel & Wallen and others
Loại	Quantitative non-experimental survey design	Quantitative non-experimental survey design
Công trình gốc	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	Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2009). How to Design and Evaluate Research in Education (8th ed.). McGraw-Hill. ISBN: 978-0073525748
Tên gọi khác	comparative correlational survey, multi-group relational survey, cross-group relational survey design	correlational survey, associational survey, relationship survey design, relational descriptive survey
Liên quan	4	4
Tóm tắt	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.	Relational survey research is a quantitative, non-experimental design that gathers structured self-report data from a sample and examines the statistical associations among two or more variables. Unlike purely descriptive surveys, which only characterise distributions, relational surveys ask whether and how strongly variables co-vary — providing evidence of relationships without manipulating conditions or establishing causation.