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基于面板的横断面研究×调查研究×
领域研究设计研究设计
方法族Process / pipelineProcess / pipeline
起源年份1940s–1960s (formalized in social survey methodology)Late 19th century; methodologically systematised 1940s–1960s
提出者Panel survey methodology developed from large-scale government and social survey programs (e.g., University of Michigan Survey Research Center, 1940s–1950s)Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s
类型Quantitative observational designQuantitative (and mixed) non-experimental design
开创性文献Kasprzyk, D., Duncan, G., Kalton, G., & Singh, M. P. (Eds.). (1989). Panel Surveys. John Wiley & Sons. ISBN: 978-0471622635Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000
别名panel cross-sectional survey, rotating panel cross-section, repeated cross-section panel, cross-sectional panel designsurvey methodology, questionnaire research, survey design, survey study
相关34
摘要Panel-based cross-sectional research draws repeated cross-sectional measurements from a pre-recruited standing panel rather than sampling fresh respondents each time. This hybrid design preserves the snapshot character of classic cross-sectional surveys while gaining speed, cost efficiency, and comparability across waves. It is widely used in social, health, and market research whenever population-level estimates are needed quickly and repeatedly without full longitudinal tracking of the same individuals.Survey research is a quantitative (and sometimes mixed-methods) design in which a researcher collects standardised self-report data from a sample drawn from a defined population, using a questionnaire or structured interview. It is the dominant non-experimental strategy for describing population characteristics, estimating prevalence, mapping attitude distributions, and testing bivariate or multivariate associations across social, behavioural, and health sciences.
ScholarGate数据集
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  3. PUBLISHED

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ScholarGate方法对比: Panel-based cross-sectional research · Survey Research. 于 2026-06-19 检索自 https://scholargate.app/zh/compare