Editorial: Measurement Invariance

Schoot, Rens van de; Schmidt, Péter; Beuckelaer, Alain De; Lek, Kimberley; Zondervan‐Zwijnenburg, Mariëlle

doi:10.3389/fpsyg.2015.01064

Cited by 258 publications

(193 citation statements)

References 42 publications

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“…Establishing measurement invariance is essential for meaningful group comparisons [61]. Without strict invariance, researchers who compare the summarized scores do not control whether they compare respondents' true scores or error variances.…”

Section: Discussionmentioning

confidence: 99%

The Three-Factor Eating Questionnaire-R18 Polish version: factor structure analysis among normal weight and obese adult women

Brytek-Matera¹,

Rogoza²,

Czepczor-Bernat³

2017

Arch Psych Psych

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SummaryAims: The present study aimed to examine construct validity of the Three-Factor Eating Questionnaire-R18 (TFEQ-R18) and to investigate variables of the following phenomena: cognitive restraint, uncontrolled eating and emotional eating in normal weight women and women with obesity. Methods:The research sample comprised 237 participants (200 with normal weight and 37 obese); the TFEQ-R18 was distributed to all participants at the same time. Results:We found that the three-factor structure is invariant at each level -configural, metric, scalar and strict. Individuals with obesity scored significantly higher than individuals within normal weight range in uncontrolled eating (p = 0.005) and emotional eating (p = 0.053). Conclusions:Ambiguities between the results of the current and other studies may be explained in terms of controlling the shared variance and measurement error, since only up to date summarized scores were compared across groups. uncontrolled eating, cognitive restraint, emotional eating, normal weight, obesity

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Section: Discussionmentioning

confidence: 99%

The Three-Factor Eating Questionnaire-R18 Polish version: factor structure analysis among normal weight and obese adult women

Brytek-Matera¹,

Rogoza²,

Czepczor-Bernat³

2017

Arch Psych Psych

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“…The wider socioeconomic, sociocultural and/or sociopolitical differences of the respondents demand the development of studies that follow strict technical criteria in order to improve comparability. Statistical techniques may be used to assess measures and improve comparisons (Davidov et al 2014;Millsap and Everson 1993;Van De Schoot et al 2015). Multi-group confirmatory factor analysis (MGCFA) is one of the most recognized techniques for assessing measurement invariance.…”

Section: Measurement and Equivalencementioning

confidence: 99%

“…In the context of international studies, several authors have shown the relevance of obtaining comparable measures and the potential consequences of not doing so (Guenole and Brown 2014). Measurement invariance assumes that the instrument (questionnaire) measures the same concept in the same way for different groups (Meredith 1993;Millsap 2011;Millsap and Everson 1993;Rutkowski and Svetina 2014;Van De Schoot et al 2015;Vandenberg and Lance 2000).…”

Section: Introductionmentioning

confidence: 99%

Measurement Model and Invariance Testing of Scales Measuring Egalitarian Values in ICCS 2009

Miranda

Castillo

2018

IEA Research for Education

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Based on the conceptualization of democratic principles in the International Civic and Citizenship Education Study (ICCS) 2009, particularly attitudes concerning equal rights for disadvantaged groups, such as immigrants, ethnic groups and women, this chapter evaluates the extent to which the scales measuring attitudes toward gender equality, equal rights for all ethnic/racial groups and equal rights for immigrants are invariant, and to what extent they can be compared across the countries participating in the study. Multi-group confirmatory factor analysis is used to estimate a measurement model of the egalitarian attitudes and its measurement equivalence across the 38 countries (n = 140,000 8th grade students) that participated in ICCS 2009. The results indicate that the original scales are non-invariant. Nevertheless, with some modifications, the proposed conceptual model was found to be invariant across countries. The chapter concludes with a discussion of the theoretical and empirical implications of the model.

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“…It could be essential to consider the fact that measured variables (X and Y ) could bear a different meaning between males and females in a given sample. To test the hypothesis of equality of constructs, or factorial equality it could be of great importance to use the measurement of invariance methodology (Van De Schoot, Schmidt, De Beuckelaer, Lek, & Zondervan-Zwijnenburg, 2015). The solution for such an important question is known as the measurement of equivalence/invariance (ME/I).…”

Section: Invariance Testing and Advanced Notions In Apimmentioning

confidence: 99%

How to Use the Actor-Partner Interdependence Model (APIM) To Estimate Different Dyadic Patterns in MPLUS: A Step-by-Step Tutorial

Fitzpatrick¹,

Gareau

Lafontaine³

et al. 2016

TQMP

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Dyadic data analysis with distinguishable dyads assesses the variance, not only between dyads, but also within the dyad when members are distinguishable on a known variable. In past research, the Actor-Partner Interdependence Model (APIM) has been the statistical model of choice in order to take into account this interdependence. Although this method has received considerable interest in the past decade, to our knowledge, no specific guide or tutorial exists to describe how to test an APIM model. In order to close this gap, this article will provide researchers with a step-by-step tutorial for assessing the most recent advancements of the APIM with the use of structural equation modeling (SEM). The present tutorial will also utilize the statistical program MPLUS.

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Editorial: Measurement Invariance

Cited by 258 publications

References 42 publications

The Three-Factor Eating Questionnaire-R18 Polish version: factor structure analysis among normal weight and obese adult women

The Three-Factor Eating Questionnaire-R18 Polish version: factor structure analysis among normal weight and obese adult women

Measurement Model and Invariance Testing of Scales Measuring Egalitarian Values in ICCS 2009

How to Use the Actor-Partner Interdependence Model (APIM) To Estimate Different Dyadic Patterns in MPLUS: A Step-by-Step Tutorial

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