Full Citation

Title: Better together? Regression analysis of complex survey data after ex-post harmonization

Citation Type: Miscellaneous

Publication Year: 2020

ISBN:

ISSN:

DOI: 10.31235/OSF.IO/EDM3V

NSFID:

PMCID:

PMID:

Abstract: An increasing number of researchers pool, harmonize, and analyze survey data from different survey providers for their research questions. They aim to study heterogeneity between groups over a long period or examine smaller subgroups; research questions that can be impossible to answer with a single survey. This combination or pooling of data is known as individual person data (IPD) meta-analysis in medicine and psychology; in sociology, it is understood as part of ex-post survey harmonization (Granda et al 2010). However, in medicine or psychology, most original studies focus on treatment or intervention effect and apply experimental research designs to come to causal conclusions. In contrast, many sociological or economic studies are nonexperimental. In comparison to experimental data, survey-based data is subject to complex . . .

Url: https://osf.io/preprints/socarxiv/edm3v/

User Submitted?: No

Authors: Haensch, Anna-Carolina; Weiss, Bernd

Publisher: University of Mannheim

Data Collections: IPUMS USA

Topics: Methodology and Data Collection, Other

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