Structural aspects of social capital: tests for cross-national equivalence in Europe

Gesthuizen, Maurice; Scheepers, P.L.H.; Veld, William van der; Völker, Beate

doi:10.1007/s11135-011-9573-3

Cited by 20 publications

(18 citation statements)

References 36 publications

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“…All these may bias the finding of health systems research, leading to gender inequality in health policy and interventions (Millsap and Kwok, 2004;Guenole and Brown, 2014). While a few studies explore the performance of social capital measurement tools across other social stratifiers (Davidov and Coromina, 2013;Gesthuizen et al, 2013;Liu et al, 2018), there is little evidence of how the quantitative tools used in these studies performed when measuring social capital across genders. In addition, these studies mostly included only one construct of social capital as a proxy measure.…”

Section: Measurement Of Individual Social Capital Across Gendersmentioning

confidence: 99%

Exploration of Factor Structure and Measurement Invariance by Gender for a Modified Shortened Adapted Social Capital Assessment Tool in India

et al. 2019

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Social capital is defined as the nature of the social relationship between individuals or groups and the embedded resources available through their social network. It is considered as a critical determinant of health and well-being. Thus, it is essential to assess the performance of any tool when meaningfully comparing social capital between specific groups. Using measurement invariance (MI) analysis, this paper explored the factor structure of the social capital of men and women measured by a modified Shortened Adapted Social Capital Assessment Tool (SASCAT-I) in rural Uttar Pradesh (UP), India. The study sample comprised 5,287 men (18-101 years) and 7,186 women (15-45 years) from 6,218 randomly selected households who responded to SASCAT-I during a community-level cross-sectional survey. Social capital factor structure was examined by both exploratory and confirmatory factor analysis (CFA), and MI across genders was investigated using multigroup CFA. While disregarding gender, four unique factors (Organizational Participation, Social Support, Trust, and Social Cohesion) represented the structure of social capital. The MI analysis presented a partial metric-invariance indicating factor loadings for Organizational Participation and Social Support were the same across genders. The gender-stratified analysis demonstrated that a four-factor solution was best fitted for both men and women. Men and women of rural UP interpreted social capital differently as the perception of Trust and Social Cohesion varied across genders. For any future applications of SASCAT-I, we recommend gender-stratified factor analysis to quantify social capital's measure, acknowledging its multidimensionality.

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Section: Measurement Of Individual Social Capital Across Gendersmentioning

confidence: 99%

Exploration of Factor Structure and Measurement Invariance by Gender for a Modified Shortened Adapted Social Capital Assessment Tool in India

et al. 2019

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“…In previous studies, researchers have used MSA to compare the psychometric quality of attitude surveys between two or more subgroups of respondents (e.g., Gesthuizen, Scheepers, van der Veld, & Völker, 2013;Gillespie, Tenvergert, & Kingma, 1988;Quaranta, 2013;Van Der Veer, Yakushko, Ommundsen, & Higler, 2011;van Schuur, 2003). As pointed out by Molenaar and Sijtsma (2000), MSA techniques for evaluating measurement equivalence across subgroups focus on three questions: "(a) Does the measurement model fit equally well across subgroups?…”

Section: Comparing Measurement Quality Across Subgroups With Mokken Smentioning

confidence: 99%

A nonparametric procedure for exploring differences in rating quality across test-taker subgroups in rater-mediated writing assessments

Wind

2019

Language Testing

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Differences in rater judgments that are systematically related to construct-irrelevant characteristics threaten the fairness of rater-mediated writing assessments. Accordingly, it is essential that researchers and practitioners examine the degree to which the psychometric quality of rater judgments is comparable across test-taker subgroups. Nonparametric procedures for exploring these differences are promising because they allow researchers and practitioners to examine important characteristics of ratings without potentially inappropriate parametric transformations or assumptions. This study illustrates a nonparametric method based on Mokken scale analysis (MSA) that researchers and practitioners can use to identify and explore differences in the quality of rater judgments between subgroups of test-takers. Overall, the results suggest that MSA provides insight into differences in rating quality across test-taker subgroups based on demographic characteristics. Differences in the degree to which raters adhere to basic measurement properties suggest that the interpretation of ratings may vary across subgroups. The implications of this study for research and practice are discussed.

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“…Social networks are integral to the structural component of social capital (Gesthuizen et al ). Campbell, Marsden, and Hurlbert () found that socioeconomic status has a positive effect on the range and composition of social networks.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Income Groups, Social Capital, and Collective Action on Small‐Scale Irrigation Facilities: A Multigroup Analysis Based on a Structural Equation Model

et al. 2018

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This article examines whether relationships between social capital characteristics and the willingness of farmers to cooperate in collective action is moderated by the farmers' income level. We employed a structural equation model to analyze the influence of social capital components (social networks, interpersonal trust, social reciprocity, and social participation) on the willingness of farmers to cooperate in collective small‐scale irrigation in Guangling County, Shanxi Province of China. This analysis was complemented by a multigroup analysis to measure the potential variance effects across income groups. Our results show that low‐ and middle‐income farmers give more importance to the aspects of social networks, social reciprocity, and social participation, while high‐income farmers place emphasis on interpersonal trust and social participation. Accordingly, the willingness of farmers to cooperate for the different income groups was influenced in different ways in relation to the various social capital components. Therefore, social capital and income differences have complex effects on the willingness of farmers to cooperate. In this regard, our research provides an alternative way to understand the complex process involved in the formation of collective action under the presence of increasing economic heterogeneity in local communities.

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Structural aspects of social capital: tests for cross-national equivalence in Europe

Cited by 20 publications

References 36 publications

Exploration of Factor Structure and Measurement Invariance by Gender for a Modified Shortened Adapted Social Capital Assessment Tool in India

Exploration of Factor Structure and Measurement Invariance by Gender for a Modified Shortened Adapted Social Capital Assessment Tool in India

A nonparametric procedure for exploring differences in rating quality across test-taker subgroups in rater-mediated writing assessments

Income Groups, Social Capital, and Collective Action on Small‐Scale Irrigation Facilities: A Multigroup Analysis Based on a Structural Equation Model

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