Tina Kogovšek

Estimating the reliability and validity of personal support measures: full information ML estimation with planned incomplete data

Egocentered networks are common in social science research. Here, the unit of analysis is a respondent (ego) together with his/her personal network (alters). Usually, several variables are used to describe the relationship between egos and alters. In this paper, the aim is to estimate the reliability and validity of the averages of these measures by the multitrait–multimethod (MTMM) approach. This approach usually requires at least three repeated measurements (methods) of the same variable (trait) for model identification. This places a considerable burden on the respondent and increases the cost of data collection. In this paper, we use a split ballot MTMM experimental design, proposed by Saris (1999), in which separate groups of respondents get different combinations of just two methods. The design can also be regarded as having a planned missing data structure. The maximum likelihood estimation is used in the manner suggested by Allison (1987) of a confirmatory factor analysis model for MTMM-designs specified in Saris and Andrews (1991). This procedure is applied to social support data collected in the city of Ljubljana (Slovenia) in the year 2000.

Effects on reliability and validity of egocentered network measurements

Abstract This paper examines the reliability and validity of egocentered networks. Reliability and validity are estimated by the multitrait-multimethod (MTMM) approach. A split ballot MTMM design [Saris, W.E., 1999. Forced choice or agree/disagree questions? An evaluation by the split ballot MTMM experiment. In: Proceeding of the Meeting of the IRMCS, pp. 122–146; Kogovsek, T., Ferligoj, A., Coenders, G. Saris, W. E., 2002. Estimating the reliability and validity of personal support measures: full information ml estimation with planned incomplete data. Social Networks 24, 1–20] is used, in which separate groups of respondents received different combinations of two methods. The effect of factors such as the methods used and the personal characteristics of respondents that can affect the quality of data was estimated by a meta analysis. Measurement method, type of question, network size, age, gender, extraversion and emotional stability all had statistically significant effects on the validity of measurement. After the list of alters is obtained with name generators, name interpreter questions can be asked in two ways. One way (“by alters”) is to take each alter individually and to ask all the questions about him/her, going alter by alter until the end of the list of alters. The other way (“by questions”) is to take the question and ask this question for all alters on the list, going question by question until the end of the list of name interpreter questions. Telephone interviewing (both by alters and by questions) gave more valid measurements than face-to-face interviews. Behavioral questions were more valid than questions with emotional content. The characteristics of ties were more validly measured in smaller networks. With reference to respondents’ personal characteristics younger respondents, men, extraverted and emotionally stable respondents all had more valid measurements. Reliability was significantly affected by the measurement method, the type of question and age. The telephone/by alters method was the most reliable measurement method. Behavioral questions were more reliable than questions with emotional content. Measurements among younger respondents were also more reliable.

Gender-Role Attitudes in University Students in the United States, Slovenia, and Croatia

Determinants of gender-role attitudes were examined in samples of university students from Pittsburgh in the United States, Ljubljana in Slovenia, and Osijek in Croatia. Surveys including items from the Attitudes Toward Women Scale and the Neosexism Scale were administered to a total of 1,544 U.S. students, 912 Slovene students, and 996 Croatian students between the years of 1991 and 2000. As predicted, men held less egalitarian or more sexist attitudes about the appropriate roles for women and men, and those with more frequent attendance at religious services held more sexist attitudes. No changes in attitudes were found for women over time, but Slovene males were found to become more traditional over time.

Psychological Differences in Stayers and Leavers: Emigration Desires in Central and Eastern European University Students

The desires to live in another country or to emigrate from ones country of origin was examined in a sample of 3200 university students from Croatia, the Czech Republic, Poland, Russia, and Slovenia. All of these countries have been experiencing economic difficulties during their transition from socialist to market-driven economies. It was hypothesized that students who wanted to emigrate would score higher in Achievement and Power Motivation and would also show higher levels of Work Centrality and lower levels of Family Centrality than those who wanted to stay in their country of origin. Motive predictors were further expected to be most important for those with high Work Centrality. As predicted, high Work Centrality and low Family Centrality were found to differ for those who wanted to leave as compared to those who wished to remain in their country. The predicted interactions for motivation and Work Centrality were supported. Achievement Motive levels alone did not relate to emigration desires, but Power Motivation did differ for the two groups, as predicted.

Economic Influences on Ideals About Future Jobs in Young Adults in Formerly Socialist Countries and the United States

University students today in Central and Eastern Europe (CEE) confront a world in which old ideals learned under state socialism are being questioned. Despite initial difficulties after the end of socialism, most of these countries now have more stable market economies. This article investigates how macroeconomic variables relate to ideals for future work in samples of students from eight CEE countries and the United States. Results indicate there are some significant relationships between macroeconomic factors and job values. Wanting a job that pays well is associated with poorer economic conditions, whereas wanting a career is associated with better economic conditions. Results for wanting a job that allowed time for family are mixed, with higher GDP per capita a positive predictor but economic growth a negative predictor. Economic predictors of wanting a job helping others are weak, with a significant effect of growth found only when U.S. data are added.

SOCIAL NETWORKS IN SLOVENIA

ABSTRACT The process generally referred to as ‘the transition’ implied a complex set of social changes in Central and Eastern European countries (CEE). On the one hand, there were institutional reforms which were launched to abolish the socialist economic and political systems. On the other hand, the provision of welfare was also affected by ‘transition’. The change could be observed at the institutional level (i.e., through the welfare state) as well as at the social and individual level – in the ways individuals associated, how they perceived new risks and with whom they engaged to confront them. In this article we focus on social support provision from informal sources, i.e., ego-centered social support networks, which are an important foundation for the quality of everyday life. We would like to find out whether changes in the socio-economic system are reflected in and accompanied by changes in social support providers. How have people responded to transition? Did the patterns of support and social support providers change in this period? Consequently, the research question addressed in this article is the following: do the current types of social networks differ from those in the 1980s? We try to answer it by analyzing and comparing the data on social support networks in 1987 and 2002. The data are interpreted in the context of the transition that was happening in Slovenia at the time.

Predictors and outcomes of social network compositions: A compositional structural equation modeling approach

Abstract Proportions of a total, including social network compositions (proportions of partner, family, friends, etc.) lie in a restricted space, which challenges statistical analysis. Network compositions can be both dependent and explanatory variables and are usually measured with error by survey instruments. Structural equation models make it possible to correct measurement error bias. Coenders et al. (2011) fitted a factor analysis model to transformed network compositions. In this article, we use another transformation called an isometric log-ratio and we extend the model to include predictors and outcomes. The findings and hypotheses in the literature can be reformulated with isometric log-ratios in a more interpretable manner. For instance, we find relationships of gender with partner support, of education and extraversion with friend support, and of family support with tie multiplexity and closeness.

Focus Group in Community Mental Health Research: Need for Adaption

The article presents an analysis of the use of focus groups in researching community mental health users, starting with the reasons for using them, their implementation in mental health service users’ research, and the adaptations of focus group use when researching the experiences of users. Based on personal research experience and a review of scientific publications in the Google Scholar, Web of Science, ProQuest, EBSCOhost, and Scopus databases, 20 articles published between 2010 and 2016 were selected for targeted content analysis. A checklist for reporting on the use of focus groups with community mental health service users, aiming to improve the comparability, verifiability and validity was developed. Adaptations of the implementation of focus groups in relation to participants’ characteristics were suggested. Focus groups are not only useful as a scientific research technique, but also for ensuring service users’ participation in decision-making in community mental health and evaluating the quality of the mental health system and services .