เปรียบเทียบวิธี

	การวิจัยกลุ่มตัวอย่างแบบหลายตัวแปร	การวิจัยเชิงสำรวจตามช่วงเวลา
สาขาวิชา	การออกแบบการวิจัย	การออกแบบการวิจัย
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1950s–1970s (cohort methods); multivariate extensions prominent from 1970s onward	Late 19th–early 20th century; methodologically codified through the 20th century
ผู้ริเริ่ม	Epidemiology and biostatistics tradition; advanced by Rothman, Breslow, and colleagues	No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett
ประเภท	Observational quantitative research design	Quantitative (or mixed) observational research design
แหล่งต้นตำรับ	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841
ชื่อเรียกอื่น	multivariate cohort study, cohort study with multivariate analysis, multivariable cohort design, multivariate longitudinal cohort	longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study
ที่เกี่ยวข้อง	5	4
สรุป	Multivariate cohort research follows a defined group of individuals forward in time, collecting data on multiple exposures, outcomes, and covariates simultaneously. By applying multivariate statistical models — such as Cox regression, mixed-effects models, or structural equation models — researchers can disentangle the independent contributions of several predictors to one or more outcomes while controlling for confounders. The design is widely used in epidemiology, public health, psychology, and social sciences.	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.