Comparing Typological Structures Across Cultures By Multigroup Latent Class                 Analysis

Eid, Michael; Langeheine, Rolf; Diener, Ed

doi:10.1177/0022022102250427

Cited by 160 publications

(136 citation statements)

References 15 publications

(19 reference statements)

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“…Measurement-unit equivalence requires the offset of scales to be similar for groups and scalar equivalence requires scores on the instrument to have the same interval scales across cultural groups (Van de Vijver, 1998). The problem with dichotomous items is that they do not have an origin or a unit of measurement and the concepts of unit and scalar equivalence consequently cannot be applied to dichotomous variables (Eid, Langeheine, & Diener, 2003).…”

Section: Challenges Associated With Cross-cultural Testing In South Amentioning

confidence: 99%

The construct equivalence and item bias of the pib/SpEEx conceptualisation-ability test for members of five language groups in South Africa

Schaap

Vermeulen

2008

SA j ind psychol

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This study's objective was to determine whether the Potential Index Batteries/Situation Specific Evaluation Expert (PIB/SpEEx) conceptualisation (100) ability test displays construct equivalence and item bias for members of five selected language groups in South Africa. The sample consisted of a non-probability convenience sample (N = 6 261) of members of five language groups (speakers of Afrikaans, English, North Sotho, Setswana and isiZulu) working in the medical and beverage industries or studying at higher-educational institutions. Exploratory factor analysis with target rotations confirmed the PIB/SpEEx 100's construct equivalence for the respondents from these five language groups. No evidence of either uniform or non-uniform item bias of practical significance was found for the sample.

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Section: Challenges Associated With Cross-cultural Testing In South Amentioning

confidence: 99%

The construct equivalence and item bias of the pib/SpEEx conceptualisation-ability test for members of five language groups in South Africa

Schaap

Vermeulen

2008

SA j ind psychol

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“…calculating the reliability of summated rating scales, exploring dimensionality by means of exploratory factor analysis, or applying confirmatory factor analysis. Of course, dimensional models are appropriate in many situations, but there are cases in which it is more reasonable to assume that there are different types of individuals or different types of attitude profiles (Eid et al 2003). Consider, for instance, the example of reasons to marry.…”

Section: Introductionmentioning

confidence: 99%

The Valued Child. In Search of a Latent Attitude Profile that Influences the Transition to Motherhood

Moors

2007

Eur J Population

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In this research, a latent class analysis is used to identify latent attitude profiles that influence the transition to the first child. We argue that ideational theories, i.e. the Second Demographic Transition theory and the extended model of Planned Behaviour, often refer to a broad range of attitudes or values that are hypothesized to influence behaviour, and as such describe an attitude or value profile that inhibits vs. fosters the likelihood of motherhood. The results demonstrate the usefulness of a latent class approach and reveal that quite different latent attitude profiles may lead to an increased likelihood of motherhood. However, only one latent attitude profile clearly inhibited the hazard of a first birth, i.e. an egalitarian profile that dissociates with ''traditional'' views on familistic issues regarding marriage, children, partnership and household roles, and at the same time stresses the importance of autonomy and independence. Keywords Motherhood Á Attitude profile Á Latent class analysisRésumé Dans cette étude nous faisons appel à l'analyse en classes latentes pour identifier des profils d'attitudes latents à même d'influencer la procréation du premier enfant. A la base, une réflexion sur les théories idéationnelles telles que la théorie de la deuxième transition démographique et la théorie étendue du comportement planifié, qui se réfèrent à toute une variété d'attitudes et de valeurs exerçant une influence sur le comportement, et par conséquent à des attitudes ou systèmes de valeurs à même de réduire ou d'accroître la probabilité de procréation du premier enfant par les femmes. Les résultats démontrent l'intérêt d'une approche par profils latents et révèlent que des profils très différents peuvent conduire à une G. Moors

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“…Standard references include Titterington et al (1985), Bartholomew and Knott (1999), and Wedel and Kamakura (2000). A few researchers in other fields have estimated latent-class models with attitudinal data (Clogg and Goodman, 1984;McCutcheon, 1987;McCutcheon and Nawojcyzk, 1995;De Menezes and Bartholomew, 1996;Yamaguchi, 2000;Eid et al, 2003;Thacher et al, 2003). Applications of latent-class models The approach outlined in this paper assumes that what people do and say are manifestations of underlying stable preferences.…”

mentioning

confidence: 99%

Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model

Morey

Thacher

Breffle

2006

Environ Resource Econ

162

110

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A latent-class model of environmental preference groups is developed and estimated with only the answers to a set of attitudinal questions. Economists do not typically use this type of data in estimation. Group membership is latent/unobserved. The intent is to identify and characterize heterogeneity in the preferences for environmental amenities in terms of a small number of preference groups. The application is to preferences over the fishing characteristics of Green Bay. Anglers answered a number of attitudinal questions, including the importance of boat fees, species catch rates, and fish consumption advisories on site choice. The results suggest that Green Bay anglers separate into a small number of distinct classes with varying preferences and willingness to pay for a PCB-free Green Bay. The probability that an angler belongs to each class is estimated as function of observable characteristics of the individual. Estimation is with the expectation–maximization (E–M) algorithm, a technique new to environmental economics that can be used to do maximum-likelihood estimation with incomplete information. As explained, a latent-class model estimated with attitudinal data can be melded with a latent-class choice model. Copyright Springer 2006attitudinal data, E–M algorithm, latent-class attitudinal model, latent-class joint model,

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Comparing Typological Structures Across Cultures By Multigroup Latent Class Analysis

Cited by 160 publications

References 15 publications

The construct equivalence and item bias of the pib/SpEEx conceptualisation-ability test for members of five language groups in South Africa

The construct equivalence and item bias of the pib/SpEEx conceptualisation-ability test for members of five language groups in South Africa

The Valued Child. In Search of a Latent Attitude Profile that Influences the Transition to Motherhood

Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model

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