เปรียบเทียบวิธี

	การวิจัยเชิงยืนยันแบบใช้ข้อมูลแผง	การวิจัยเชิงสำรวจตามช่วงเวลา
สาขาวิชา	การออกแบบการวิจัย	การออกแบบการวิจัย
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1960s–1980s (formalization of panel methods with confirmatory inference)	Late 19th–early 20th century; methodologically codified through the 20th century
ผู้ริเริ่ม	Multiple contributors; panel data analysis formalized by Yair Mundlak, Zvi Griliches, and Edwin Kuh in the 1960s–1970s; confirmatory integration developed across econometrics and SEM traditions	No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett
ประเภท	Quantitative longitudinal research design	Quantitative (or mixed) observational research design
แหล่งต้นตำรับ	Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841
ชื่อเรียกอื่น	confirmatory panel design, longitudinal confirmatory study, panel confirmatory analysis, PBCR	longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study
ที่เกี่ยวข้อง	4	4
สรุป	Panel-based confirmatory research combines the longitudinal power of panel data — repeated observations of the same units over time — with a pre-specified, hypothesis-driven analytic framework. Instead of exploring patterns post-hoc, the researcher commits to theoretical propositions before data collection and uses the panel structure to test causal or directional claims while controlling for unobserved time-invariant confounders. It is widely used in economics, sociology, epidemiology, and organizational research.	Longitudinal research is an observational design in which the same participants, groups, or units are measured repeatedly over an extended period. Rather than capturing a single snapshot, it tracks change, stability, and temporal sequencing of variables — making it the primary non-experimental strategy for studying development, growth, decline, and the unfolding of causal processes across time.