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.

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.

Probability-Based and Measurement-Related Hypotheses With Full Restriction for Investigations by Means of Confirmatory Factor Analysis

Methodology ◽  
2011 ◽  
Vol 7 (4) ◽  
pp. 157-164
Author(s):  
Karl Schweizer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Processing ◽  
Latent Variables ◽  
Repeated Measures ◽  
Latent Variable ◽  
Model Fit ◽  
Repeated Measures Data ◽  
Confirmatory Factor ◽  
And Performance

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.

scholarly journals DETERMINANTS OF ACADEMIC RESEARCH COMMERCIALIZATION IN IRAN GAS INDUSTRY

2013 ◽  
Vol 11 (1) ◽  
pp. 34-49
Author(s):  
Yaghoub Zahedi Anbardan
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Research Methodology ◽  
Latent Variables ◽  
Qualitative Data ◽  
Academic Research ◽  
Gas Industry ◽  
Research Commercialization ◽  
Confirmatory Factor ◽  
Quantitative Results

The aim of this research is to identify determinants of academic research commercialization in the Iranian gas industry. For this purpose, we have applied a mixed research methodology. After reviewing the literature we conducted interviews with academics that have experience in the gas industry commercialization in order to develop the research questionnaire. Qualitative data were analyzed by codifying the interviews. To analyze the quantitative results we applied the exploratory and confirmatory factor analysis (EFA, CFA). The results show that there are 6 latent variables and 28 observed variables including the gas industry academic research commercialization requirements and prerequisites in Iran.

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.

scholarly journals Evaluation of the Social Benefits of Financial Innovation Towns Based on SEM Model——Taking Yuhuang Shannan Fund Town as an Example

2021 ◽  
Vol 251 ◽  
pp. 01075
Author(s):  
Guimei Wu ◽  
Yuting Ye ◽  
Ting Li ◽  
Xueqin Chen ◽  
Shasha Zhu
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Latent Variables ◽  
Evaluation System ◽  
Structural Equation ◽  
Financial Innovation ◽  
Social Benefits ◽  
The Social ◽  
Confirmatory Factor ◽  
The Impact

Taking Yuhuang Shannan Fund Town as a typical example, this paper established a financial innovation characteristic town social benefit evaluation system through on-site investigation and quantitative analysis. It can be summarized into five major aspects: social and livelihood development, socioeconomic development, ecological environment, infrastructure construction and related system construction. Then we constructed a structural equation model (SEM) for the evaluation of social benefits of towns, and made the assumption that the impact of the five latent variables on the total variable of social benefits is positive. Through the first-order confirmatory factor analysis and the second-order confirmatory factor analysis of the structural equation, it is concluded that the five latent variables have a positively significant impact on the social benefits and have strong internal consistency. According to the degree of influence, effective suggestions are given from private equity and industrial foundation, which provide reference and practical guidance of the construction of financial innovative towns in the future.

Testing Factorial Invariance across Groups: A Reconceptualization and Proposed New Method

1999 ◽  
Vol 25 (1) ◽  
pp. 1-27 ◽  
Author(s):  
Gordon W. Cheung ◽  
Roger B. Rensvold
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Latent Variables ◽  
Cross Cultural ◽  
Factorial Invariance ◽  
Published Data ◽  
Data Set ◽  
Test Items ◽  
Confirmatory Factor ◽  
Different Cultures

Many cross-cultural researchers are concerned with factorial invariance; that is, with whether or not members of different cultures associate survey items, or similar measures, with similar constructs. Researchers usually test items for factorial invariance using confirmatory factor analysis (CFA). CFA, however, poses certain problems that must be dealt with. Primary among them is standardization, the process that assigns units of measurement to the constructs (latent variables). Two standardization procedures and several minor variants have been reported in the literature, but using these procedures when testing for factorial invariance can lead to inaccurate results. In this paper we review basic theory, and propose an extension of Byrne, Shavelson, and Muthgn’s (1989) procedure for identifying non-invariant items. The extended procedure solves the standardization problem by performing a systematic comparison of all pairs of factor loadings across groups. A numerical example based upon a large published data set is presented to illustrate the utility of the new procedure, particularly with regard to partial factorial invariance.

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.

How to Describe the Difference between Factors and Corresponding Factor-Score Estimates

Methodology ◽  
2005 ◽  
Vol 1 (4) ◽  
pp. 143-158 ◽  
Author(s):  
André Beauducel
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Score ◽  
Component Analysis ◽  
Factor Pattern ◽  
Confirmatory Factor ◽  
Different Types ◽  
Component Loadings ◽  
The Difference

Abstract. Because of factor score indeterminacy, there can be substantial shifts in the theoretical meaning of factors and their corresponding score estimates. Therefore, the original factor pattern should be compared with the regression-component loadings (Schönemann & Steiger, 1976) corresponding to the factor-score estimates in order to detect possible shifts in the theoretical meaning. Especially with large loading matrices the similarity of the original factor pattern and the regression components of the score estimates may be ascertained by means of congruency coefficients. It is shown that these congruencies contain information that is not already given by measures of factor-score indeterminacy. Two examples illustrate the use of regression-component analysis for different types of factor-score estimates. The analyses reveal that the Bartlett-score estimates are most appropriate when factor interpretation is based on the factor pattern, which is usually the case in confirmatory factor analysis.

The confirmatory factor analysis of teacher’s research motivation scale

2018 ◽  
Vol 8 (3) ◽  
pp. 101-106
Author(s):  
Ujsara Prasertsin
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Intrinsic Motivation ◽  
Latent Variables ◽  
Latent Variable ◽  
Extrinsic Motivation ◽  
Class Action ◽  
P Value ◽  
Confirmatory Factor ◽  
Motivation Scale

The purpose of the research is to develop the measurement of motivation scale of in class action research conducted by school teachers. The sampling is 403 teachers, subordinated to Office of The Basic Education Commission. Data collection was conducted through questionnaires of 20 questions. The questions were designed into 5 levels following to the motivation scale in research measurement of Deemer, Mahoney, & Ball (2010). This 20 questions questionnaire is consisting of 3 latent variables that are 9 questions of intrinsic motivation, 6 questions of failure avoidance and 5 questions extrinsic motivation. The purpose of confirmatory factor analysis (CFA) is to test the construct validity of research latent variables that found the harmony correlation of empirical data contained in this research model, the value of Chi-Square ( )=89.224 at the degree of freedom=71, P value=0.071, GFI=0.978, AGFI=0.936, RMSEA=0.062, RMR=0.018, Model AIC=367.224, Saturated AIC=420.000, Model CAIC= 1062.076, Saturated CAIC = 1469.777. The weight factors of latent variable are 0.692, -0.066 and 0.894 retrospectively. The value of reliability according to cronbach’s alpha coefficient of correlation is 0.479, 0.004 and 0.800 retrospectively. Moreover correlation matrix of 20 observed variables shows the correlation among latent variables of intrinsic motivation and extrinsic motivation with the significant level of statistic correlation at 0.05, the correlation value ranged between 0.196-0.604 and 0.196-0.696 retrospectively. The highest value of correlation scored 0.696 is founded in observed variables of intrinsic motivation latent variable. Keywords: Confirmatory, factor analysis, teacher, research motivation

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