scholarly journals Social capital in Ukraine and other European countries: the legitimacy of an aggregated construct

2013 ◽  
Vol 2013 (4) ◽  
pp. 81-97 ◽  
Author(s):  
Yuliia Sereda
Keyword(s):  
Social Capital ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Civic Participation ◽  
European Social Survey ◽  
Social Survey ◽  
Eu Member States ◽  
Confirmatory Factor ◽  
Communist Countries ◽  
New Eu Member States

The paper presents a review of the main approaches in social capital conceptualization and measurement, as well as examines the legitimacy of the aggregated usage of trust, civic participation and informal communication as a measure of social capital. The analysis is based on “European Social Survey” (ESS-2010) in five contexts: Ukraine, Russia, post-communist countries – new EU member states, countries of EU-12 and Scandinavia. Confirmatory factor analysis is implemented. Results suggest that traditional components of social capital are more likely to be separate parts and should be analyzed distinctly.

scholarly journals Formation of Social Capital for Community College Students: A Second-Order Confirmatory Factor Analysis

2018 ◽  
Vol 47 (1) ◽  
pp. 3-30 ◽  
Author(s):  
Yu (April) Chen ◽  
Soko S. Starobin
Keyword(s):  
College Students ◽  
Community College ◽  
Social Capital ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Community College Students ◽  
Latent Variables ◽  
Institutional Agents ◽  
Family Social Capital ◽  
Confirmatory Factor

Objective: This quantitative study constructed a statistical model to measure family social capital and college social capital among community college students. The authors also examined influences of these two types of social capital constructs on degree aspiration. Method: This study utilized the STEM (Science, Technology, Engineering and Mathematics) Student Success Literacy Survey (SSSL) to collect data in all 15 community college districts in Iowa. With more than 5,000 responses, the authors conducted descriptive analysis, exploratory and confirmatory factor analysis, and structural equation modeling (SEM) analysis. Results: College social capital was measured by three latent variables such as interaction with advisors, interaction with faculty members, and transfer capital. The three latent variables were further measured by 14 survey items. Family social capital was measured by six survey items that described parent–child interaction in high school. The SEM results indicated that college social capital had stronger direct influences on degree aspiration compared with family social capital. The impact of family social capital was delivered through the mediation of college social capital. Contributions: Findings contributed to the literature by emphasizing the important role of institutional agents in promoting degree aspiration. Intervention programs should be implemented to encourage interactions between institutional agents and underrepresented and disadvantaged students.

scholarly journals The Studying the Effect of Social Capital on Job Satisfaction in General Inspection Organization of Iran (GIO)

2014 ◽  
Vol 31 ◽  
pp. 68-82
Author(s):  
Hasan Darvish ◽  
Gholamreza Jandaghi ◽  
Maryam Mashayekhi
Keyword(s):  
Job Satisfaction ◽  
Social Capital ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Model ◽  
Second Order ◽  
The State ◽  
New Concepts ◽  
Confirmatory Factor ◽  
The Relationship

In this research has been paid to the research and study of new concepts in management that is considered to the attention of many researchers in various fields including economics, social sciences, and political science and ... because of its strand nature. This study investigates the effect of social capital on job satisfaction of managers and employees in the State General Inspection Organization. The purpose of this study, the type of application and data collection methods, descriptive. This study is called correlation research because of the relationship between two or more variables. In this study has been investigated the model by using exploratory and confirmatory analysis statistics. The statistics society of this research is managers, experts and employees of the State General Inspection Organization. Confirmatory factor analysis of social capital in the first question of all questions except 58 and 61 t-value are acceptable to that question will be removed and the job satisfaction of first-order factor analysis of questions 2 and 31 are removed and values x 2 / df First-and second-order confirmatory factor analysis, and RMSEA of social capital and job satisfaction of first-and second-order model is indicative of the suitability and the value of x 2 / df and RMSEA T-value of the structural model and the necessary modifications are appropriate.

Beyond the Online/Offline Divide

2010 ◽  
Vol 29 (4) ◽  
pp. 481-498 ◽  
Author(s):  
Fadi Hirzalla ◽  
Liesbet van Zoonen
Keyword(s):  
Factor Analysis ◽  
Young People ◽  
Confirmatory Factor Analysis ◽  
Survey Data ◽  
Civic Participation ◽  
Confirmatory Factor

In this article, the authors investigate whether and how young people combine online and offline civic activities in modes of participation. The authors discuss four participation modes in which online and offline activities may converge: Politics, Activism, Consumption, and Sharing. Applying confirmatory factor analysis to survey data about the civic participation among Dutch youth (aged 15−25 years; N = 808), the authors find that online and offline activities are combined in the Politics, Activism, and Sharing modes, and that these three modes correlate significantly with each other. Conversely, the Consumption mode can only be validated as a separate offline participation mode. The results confirm the conclusion of previous studies that youth’s participation patterns are relatively dependent of mode, and add that their participation is concurrently relatively independent of place (offline vs. online).

An Evaluation of Mixture Confirmatory Factor Analysis for Detecting Social Desirability Bias

2020 ◽  
Author(s):  
Alexandru Cernat ◽  
Caroline Vandenplas
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Social Desirability ◽  
Latent Class ◽  
European Social Survey ◽  
Latent Classes ◽  
Complex Data ◽  
Sensitive Data ◽  
Confirmatory Factor ◽  
To Come

Abstract Collecting sensitive data using surveys is one of the most challenging tasks facing survey methodologists as people may choose to answer questions untruthfully to present themselves in a positive light. In 2014, Mneimneh et al. proposed mixed Rasch models to detect socially desirable answering behaviors. This approach combines item response theory models with latent class analysis to differentiate substantive and biased answering patterns. Their results identified two latent classes, one of which was consistent with socially desirable answering. Our aim is to expand their approach to detecting social desirability by using a mixture confirmatory factor analysis (CFA) in round 7 of the European Social Survey. First, we attempt to estimate social desirability in three constructs separately (RQ1): effect of immigration on the country, allowing people to come in the country and social connection, using a mixture CFA. We then extend the analysis by (RQ2) introducing constraints between the latent classes, (RQ3) combining different constructs in one model, and (RQ4) comparing results in Belgium and the United Kingdom. In contrast with the paper published by Mneimneh et al. in 2014, the models with two latent classes do not have the best model fit. In addition, validation with the presence of a third person, the respondent’s reluctance to give answers and personality traits are not systematically in line with our expectations. A small simulation shows that the method would work if the data would behave as we expect, with social desirability being the main factor influencing answering patterns. We conclude that a mixture CFA might not be able to identify social desirability in different survey contexts, especially in complex data as originating in cross-national social surveys.

scholarly journals Kassen, kulturen og kontakterne: Økonomisk, kulturel og social kapital i to generationer

2011 ◽  
Vol 22 (3) ◽  
pp. 61-80 ◽  
Author(s):  
Kristian Bernt Karlson ◽  
Mads Meier Jæger
Keyword(s):  
Social Capital ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Social Reproduction ◽  
Latent Variables ◽  
Parents And Children ◽  
Confirmatory Factor ◽  
Different Types ◽  
Close Relationship ◽  
Two Generations

I denne artikel analyserer vi sammenhængen mellem økonomisk, kulturel og social kapital inden for og mellem to generationer af danskere født omkring 1930 og 1954. Vi analyserer data fra Ungdomsforløbsundersøgelsen og benytter konfirmativ faktoranalyse til at konstruere latente variable for de tre kapitalformer i begge generationer. Analysen viser, for det første, at der i begge generationer er en markant sammenhæng mellem respondenternes beholdning af økonomisk, kulturel og social kapital, og at dette mønster gælder for begge generationer. Med andre ord: Materielle og immaterielle ressourcer er stærkt sammenvævede i det danske samfund. For det andet viser analysen, at de relative beholdninger af de tre kapitalformer i høj grad ”nedarves” fra forældre til børn. Med andre ord: Der er en stærk social arv af både materielle og immaterielle ressourcer. Søgeord: Økonomisk kapital, kulturel kapital, social kapital, Bourdieu, social reproduktion, konfirmativ faktoranalyse. ENGELSK ABSTRACT: Kristian Bernt Karlson and Mads Meier Jæger: Coffers, Culture and Contacts: Economic, Cultural and Social Capital in Two Generations This paper analyzes the distribution of economic, cultural, and social capital within and between two generations of Danes born around 1930 and 1954. We analyze data from the Danish Longitudinal Survey of Youth and use confirmatory factor analysis to construct latent variables which capture the different types of capital in both generations. Our analysis shows that, first, within each generation there is a strong correlation between the different types of capital. This result indicates a close relationship between economic and non-economic resources in Denmark. Second, we find high intergenerational correlations between the amount of economic, cultural, and social capital possessed by parents and children. This result indicates a surprisingly high degree of intergenerational capital transmission. Key words: Economic capital, cultural capital, social capital, Bourdieu, social reproduction, confirmatory factor analysis.

Social Capital in Schools: A Conceptual and Empirical Analysis of the Equity of Its Distribution and Relation to Academic Achievement

2017 ◽  
Vol 119 (7) ◽  
pp. 1-29
Author(s):  
Serena Salloum ◽  
Roger Goddard ◽  
Ross Larsen
Keyword(s):  
Academic Achievement ◽  
Social Capital ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Hierarchical Linear Modeling ◽  
Structural Equation ◽  
Empirical Work ◽  
Equation Modeling ◽  
Confirmatory Factor ◽  
School Social Capital

Background Schools face pressure to promote equitable student outcomes as the achievement gap continues to persist. The authors examine different ways in which social capital has been conceptualized as well as prior theory and research on its formation and consequences. While some theoretical and empirical work conceptualizes social capital as a mechanism for prosocial outcomes, other scholars address it as an apparatus of social status. Purpose This study was conducted to advance knowledge about (a) the validity of measuring social capital as an organizational construct, (b) the equity of social capital distribution in schools, and (c) the relationship between school social capital and academic achievement. Research Design In this paper, the authors examine these possibilities using data collected from 96 Midwestern high schools. Confirmatory factor analysis, hierarchical linear modeling, and structural equation modeling were employed to depict the relationships among social capital, socioeconomic status, and academic achievement in schools. Findings/Results The authors found that variance in social capital was significantly related to school membership and that confirmatory factor analysis supported the construction of a school social capital measure. Moreover, more than half of the variance in social capital is unrelated to social class, and social capital is a positive predictor of academic achievement. Conclusions/Recommendations Because of its positive relation to achievement, investments in the development of social capital may be worthwhile. Interventions designed to develop social capital in schools should be guided by efforts to strengthen access to school-based resources in poor and low achieving schools.

Evidence-based subtypes in functional dyspepsia with confirmatory factor analysis: Psychosocial and physiopathological correlates

2001 ◽  
Vol 120 (5) ◽  
pp. A51-A52 ◽  
Author(s):  
B FISCHLER ◽  
J VANDENBERGHE ◽  
P PERSOONS ◽  
V GUCHT ◽  
D BROEKAERT ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Functional Dyspepsia ◽  
Evidence Based ◽  
Confirmatory Factor

The French Version of the Revised Child Anxiety and Depression Scale (RCADS) in a Nonclinical Sample

2015 ◽  
Vol 74 (3) ◽  
pp. 119-127 ◽  
Author(s):  
Martine Bouvard ◽  
Anne Denis ◽  
Jean-Luc Roulin
Keyword(s):  
Factor Analysis ◽  
Anxiety Disorder ◽  
Confirmatory Factor Analysis ◽  
Generalized Anxiety Disorder ◽  
Child Anxiety ◽  
Depression Scale ◽  
Anxiety And Depression ◽  
Generalized Anxiety ◽  
French Version ◽  
Confirmatory Factor

This article investigates the psychometric properties of the Revised Child Anxiety and Depression Scale (RCADS). A group of 704 adolescents completed the questionnaires in their classrooms. This study examines potential confirmatory factor analysis factor models of the RCADS as well as the relationships between the RCADS and the Screen for Child Anxiety Related Emotional Disorders-Revised (SCARED-R). A subsample of 595 adolescents also completed an anxiety questionnaire (Fear Survey Schedule for Children-Revised, FSSC-R) and a depression questionnaire (Center for Epidemiological Studies Depression Scale, CES-D). Confirmatory factor analysis of the RCADS suggests that the 6-factor model reasonably fits the data. All subscales were positively intercorrelated, with rs varying between .48 (generalized anxiety disorder-major depression disorder) and .65 (generalized anxiety disorder-social phobia/obsessive-compulsive disorder). The RCADS total score and all the RCADS scales were found to have good internal consistency (> .70). The correlations between the RCADS subscales and their SCARED-R counterparts are generally substantial. Convergent validity was found with the FSSC-R and the CES-D. The study included normal adolescents aged 10 to 19. Therefore, the findings cannot be extended to children under 10, nor to a clinical population. Altogether, the French version of the RCADS showed reasonable psychometric properties.

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