So sánh phương pháp

	Nghiên cứu xu hướng dựa trên bảng điều tra	Phân tích phương sai đo lặp (Repeated-measures ANOVA)
Lĩnh vực	Thiết kế nghiên cứu	Thống kê
Họ	Process / pipeline	Hypothesis test
Năm ra đời	1940s–1960s	1992
Người khởi xướng	Established through survey methodology and panel econometrics; foundational contributions by Paul Lazarsfeld (1940s) and later systematized by econometricians including Zvi Griliches and Yair Mundlak	Girden (textbook treatment); Field (2013)
Loại	Quantitative longitudinal observational design	Parametric within-subjects mean comparison
Công trình gốc	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922452	Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185
Tên gọi khác	panel trend study, longitudinal panel design, repeated-measures panel survey, panel survey trend analysis	within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA
Liên quan	3	4
Tóm tắt	Panel-based trend research tracks the same group of respondents — the panel — across multiple measurement waves over time, enabling researchers to separate genuine individual-level change from cohort differences and to model how variables evolve within persons. Unlike repeated cross-sectional designs, which sample new participants at each wave, a panel design retains the same units, giving it the power to detect within-person trajectories and causal ordering among variables.	Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013).