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横断面描述性研究×调查研究×
领域研究设计研究设计
方法族Process / pipelineProcess / pipeline
起源年份Mid-20th century (1950s–1970s, widespread codification)Late 19th century; methodologically systematised 1940s–1960s
提出者Rooted in survey methodology traditions; formalized in epidemiology and social science research design texts of the mid-20th centuryFrancis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s
类型Quantitative observational research designQuantitative (and mixed) non-experimental design
开创性文献Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000
别名cross-sectional survey, descriptive cross-sectional study, prevalence study, one-shot descriptive surveysurvey methodology, questionnaire research, survey design, survey study
相关34
摘要Cross-sectional descriptive research collects data from a population or sample at a single point in time to portray the current distribution of characteristics, attitudes, behaviors, or conditions. It answers 'what is happening now?' questions without manipulating variables or following participants over time. Widely used in epidemiology, education, psychology, and the social sciences, it is the foundation for prevalence estimates, needs assessments, and baseline profiling.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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  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

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ScholarGate方法对比: Cross-sectional Descriptive Research · Survey Research. 于 2026-06-19 检索自 https://scholargate.app/zh/compare