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縦断的関係調査×縦断研究×
分野研究デザイン研究デザイン
系統Process / pipelineProcess / pipeline
提唱年1960s–1980s (formalized in panel and longitudinal survey literature)Late 19th–early 20th century; methodologically codified through the 20th century
提唱者Classical survey methodology (Campbell & Stanley, 1963; Kessler & Greenberg, 1981)No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett
種類Non-experimental quantitative designQuantitative (or mixed) observational research design
原典Singer, J. D., & Willett, J. B. (2003). Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford University Press. ISBN: 978-0195152968Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841
別名longitudinal correlational survey, prospective relational survey, repeated-measures relational survey, panel relational surveylongitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study
関連34
概要A longitudinal relational survey follows the same sample at two or more time points, collecting structured questionnaire data each wave and examining how the relationships among variables change, strengthen, weaken, or emerge across time. Unlike a cross-sectional relational survey that offers a single snapshot, this design captures temporal dynamics and allows researchers to test whether earlier measurements predict later outcomes, making it valuable for studying development, attitude change, and causal ordering.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.
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ScholarGate手法を比較: Longitudinal relational survey · Longitudinal Research. 2026-06-19に以下より取得 https://scholargate.app/ja/compare