Literature DB >> 26819627

Answering Developmental Questions Using Secondary Data.

Pamela E Davis-Kean1, Justin Jager2, Julie Maslowsky3.   

Abstract

Secondary data analysis of large longitudinal and national data sets is a standard method used in many social sciences to answer complex questions regarding behavior. In this article, we detail the advantages of using these data sets to study developmental questions across the lifespan. First, we provide an overview of how using secondary data can increase studies' scientific integrity. Then, we detail where and how data sets can be obtained that answer specific questions. Finally, we discuss methodological issues related to using longitudinal, population data sets. These data sets can enhance science and test theories by increasing the rigor and generalizability of research to the general population, making secondary data analysis an important method to consider.

Entities:  

Keywords:  population studies; quantitative methods; secondary data

Year:  2015        PMID: 26819627      PMCID: PMC4724430          DOI: 10.1111/cdep.12151

Source DB:  PubMed          Journal:  Child Dev Perspect        ISSN: 1750-8592


  8 in total

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Review 2.  Missing data analysis: making it work in the real world.

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4.  Sampling in Developmental Science: Situations, Shortcomings, Solutions, and Standards.

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5.  The weirdest people in the world?

Authors:  Joseph Henrich; Steven J Heine; Ara Norenzayan
Journal:  Behav Brain Sci       Date:  2010-06-15       Impact factor: 12.579

6.  Parent alcoholism impacts the severity and timing of children's externalizing symptoms.

Authors:  Andrea M Hussong; Wenjing Huang; Patrick J Curran; Laurie Chassin; Robert A Zucker
Journal:  J Abnorm Child Psychol       Date:  2010-04

Review 7.  Integrative data analysis in clinical psychology research.

Authors:  Andrea M Hussong; Patrick J Curran; Daniel J Bauer
Journal:  Annu Rev Clin Psychol       Date:  2013-02-01       Impact factor: 18.561

8.  Psychometric approaches for developing commensurate measures across independent studies: traditional and new models.

Authors:  Daniel J Bauer; Andrea M Hussong
Journal:  Psychol Methods       Date:  2009-06
  8 in total
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Authors:  Lillian M Audette; Marie S Hammond; Natalie K Rochester
Journal:  Educ Psychol Meas       Date:  2019-04-22       Impact factor: 2.821

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4.  Sampling and Sampling Frames in Big Data Epidemiology.

Authors:  Stephen J Mooney; Michael D Garber
Journal:  Curr Epidemiol Rep       Date:  2019-02-02

5.  Trajectories of adolescent life satisfaction.

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Journal:  R Soc Open Sci       Date:  2022-08-03       Impact factor: 3.653

  5 in total

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