Examining Items’ Suitability as the Marker Indicator in Testing Measurement Invariance

Anastasia Charalampi (), Catherine Michalopoulou () and Clive Richardson ()
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Anastasia Charalampi: Panteion University of Social and Political Sciences, Department of Social Policy
Catherine Michalopoulou: Panteion University of Social and Political Sciences, Department of Social Policy
Clive Richardson: Panteion University of Social and Political Sciences, Department of Economic and Regional Development

Chapter Chapter 25 in Quantitative Methods in Demography, 2022, pp 389-402 from Springer

Abstract: Abstract In testing measurement invariance, researchers must choose which item of the observed construct will serve as the marker indicator. In the literature, little consideration is given to this rarely-reported decision and an item is often selected automatically by software defaults. However, in many cases, the choice of marker indicator may influence the interpretation of the model. In this paper, we explore empirically the suitability of items by repeatedly performing multiple-groups Confirmatory factor analysis of the same data using a different marker indicator each time. The investigation is based on an eleven-item unidimensional scale measuring emotional wellbeing from the European Social Survey of 2006 and 2012. Measurement invariance is tested for gender and employment status groups in a combined sample of eight European countries: Belgium, France, Germany, Netherlands, Poland, Portugal, Russian Federation and Spain.

Keywords: Measurement invariance; Multiple-groups confirmatory factor analysis; European Social Survey; Wellbeing (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-3-030-93005-9_25

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DOI: 10.1007/978-3-030-93005-9_25

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