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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Conceptual comparison of constructs as first step in data harmonization: Parental sensitivity, child temperament, and social support as illustrations
MethodsX, Volume 9, Article 101889, Year 2022
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Description
This article presents a strategy for the initial step of data harmonization in Individual Participant Data syntheses, i.e., making decisions as to which measures operationalize the constructs of interest - and which do not. This step is vital in the process of data harmonization, because a study can only be as good as its measures. If the construct validity of the measures is in question, study results are questionable as well. Our proposed strategy for data harmonization consists of three steps. First, a unitary construct is defined based on the existing literature, preferably on the theoretical framework surrounding the construct. Second, the various instruments used to measure the construct are evaluated as operationalizations of this construct, and retained or excluded based on this evaluation. Third, the scores of the included measures are recoded on the same metric. We illustrate the use of this method with three example constructs focal to the Collaboration on Attachment Transmission Synthesis (CATS) study: parental sensitivity, child temperament, and social support. This process description may aid researchers in their data pooling studies, filling a gap in the literature on the first step of data harmonization. • Data harmonization in studies using combined datasets is of vital importance for the validity of the study results. • We have developed and illustrated a strategy on how to define a unitary construct and evaluate whether instruments are operationalizations of this construct as the initial step in the harmonization process. • This strategy is a transferable and reproducible method to apply to the data harmonization process. © 2022 The Author(s)
Authors & Co-Authors
Schuengel, Carlo
Netherlands, Amsterdam
Vrije Universiteit Amsterdam
Netherlands, Amsterdam
Amsterdam Public Health
Bakermans-Kranenburg, Marian J.
Netherlands, Amsterdam
Vrije Universiteit Amsterdam
Netherlands, Amsterdam
Amsterdam Public Health
Bernier, Annie
Canada, Montreal
University of Montreal
Madigan, Sheri L.
Canada, Calgary
University of Calgary
Canada, Calgary
Alberta Children’s Hospital Research Institute
Roisman, Glenn I.
United States, Minneapolis
University of Minnesota Twin Cities
Væver, Mette Skovgaard
Denmark, Copenhagen
Københavns Universitet
Barone, Lavinia
Italy, Pavia
Università Degli Studi Di Pavia
Behrens, Kazuko Y.
United States, Albany
Suny Polytechnic Institute
Cassibba, Rosalinda
Italy, Bari
Università Degli Studi Di Bari Aldo Moro
Cassidy, Jude
United States, College Park
University of Maryland, College Park
Dozier, Mary
United States, Newark
University of Delaware
Pasco Fearon, Richard M.
United Kingdom, London
University College London
Hazen, Nancy L.
United States, Austin
The University of Texas at Austin
Simonelli, Alessandra
Italy, Padua
Università Degli Studi Di Padova
Tarabulsy, George M.
Canada, Quebec
Université Laval
Bailey, Heidi Neufeld
Canada, Guelph
University of Guelph
Cyr, Chantal
Canada, Montreal
Université du Québec à Montréal
Jacobvitz, Deborah B.
United States, Austin
The University of Texas at Austin
Juffer, Femmie
Netherlands, Leiden
Universiteit Leiden
Murray, Lynne
United Kingdom, Reading
University of Reading
Sagi-Schwartz, Avi
Israel, Haifa
University of Haifa
Steele, Miriam
United States, New York
The new School
Steele, Howard
United States, New York
The new School
Statistics
Citations: 2
Authors: 23
Affiliations: 52
Identifiers
Doi:
10.1016/j.mex.2022.101889
ISSN:
22150161
Research Areas
Maternal And Child Health