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Survey Design and Measure Development

Bibliographic Data

ID20030341
AuthorsTodd D Little (0000-0002-4146-4712), Paul E Spector (0000-0002-6881-8496, University of South Florida, corresponding author)
Year2013
Publication date2013-03-21
Open AccessNo
TypeBOOK
VenueThe Oxford handbook of quantitative methods in psychology (SOURCE_BOOK)
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/oxfordhb/9780199934874.013.0009
OpenAlexW110988470
ISBN9780199934874
Open LibraryOL25299535M
LanguageEN
Citations received6

Fields that study psychological and social phenomena rely heavily on survey methods for data collection. Rigorous methods have been devised for the development of instruments suitable for survey research. Instruments developed with such methods can have adequate reliability and evidence for construct validity. They involve a step-by-step process of defining a construct, creating items, administering those items, conducting item analysis and other analyses to choose an internally consistent set of items, and collecting evidence for validity. Drawing inferences from survey studies requires consideration of issues concerning research design (e.g., cross-sectional vs. longitudinal), the nature of samples, and the likelihood of biases that might contaminate measurement. Studies done cross-nationally to draw inferences about country differences raise concerns about the measurement equivalence of measures (item intercorrelations are homogeneous across samples), and the equivalence of samples being compared

Construct (python library) · Construct validity · Criterion validity · Data collection · Data mining · Data science · Developmental psychology · Equivalence (formal languages) · Homogeneous · Measure (data warehouse) · Psychometrics · Reliability (semiconductor) · Set (abstract data type) · Statistics · Survey methodology · Survey research · Validity · Applied Psychology · Computer Science · Mathematics · Psychology · Survey Methodology and Nonresponse · Urban, Neighborhood, and Segregation Studies · Mathematical models · Statistical methods

  • Necessary but Not Sufficient

    Open Access•Jodie Levin Epstein, Steven B Sheldon•RSF The Russell Sage Foundation…•2016

  • An Updated Guideline for Assessing Discriminant Validity

    Open Access•Mikko Rönkkö, Eunseong Cho•Organizational Research Methods•2022

  • A Longitudinal Study on Stability and Transitions Among Bullying Roles

    Open Access•Izabela Zych, Maria M Ttofi et al.•Child Development•2020

  • The development and validation of the family coping expectations scale

    Payton Olivia Weinzapfel, P Schrodt•Communication Quarterly•2022

  • Avoidance coping mediates the effect of hardiness on mental distress symptoms for both male and female subjects

    Open Access•Ådne G Thomassen, Bjørn Helge Johnsen et al.•Scandinavian Journal of Psychology•2022

  • Construct jangle or construct mangle? Thinking straight about (nonredundant) psychological constructs

    Open Access•Gordon Hodson•Journal of Theoretical Social…•2021

Citations per year0.6
Citation span2016 - 2022 (7)
Highly citedNo

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