Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 3

first rewind previous Page / 1 next fast forward last

Search results

Search:
in the keywords:  longitudinal analysis
help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
1

Late childhood and adolescence growth sensitivity to political transition: the case of South African Cape coloured schoolchildren during and post-apartheid

100%
Bertens M. G. B. C., Ulijaszek S., Kozieł S., Henneberg M.
Anthropological Review
|
2012
|
vol. 75
|
issue 1
19-31
EN
South Africa underwent major social and economic change between 1987 and 1995. The release of Nelson Mandela in February 1990 proclaimed an end to the political system of apartheid, and the first freely elected non-White government in 1994 instigated social and economic reforms aimed at alleviating the consequences of apartheid. This paper aims to examine the impact of these socio-economic and political changes on height, weight and body mass index (BMI) in childhood and late adolescence. An analysis was carried out of longitudinal data of 258 urban and rural South African Cape Coloured schoolchildren (6-18 years old) across the transitional periods from apartheid between 1987 and 1990, to this transition between 1991 and 1993, and finally to post-apartheid between 1994 and 1995. The anthropometric measures were standardized into age independent Z-scores. Analyses of variance with repeated measures were conducted to examine the growth in height, weight and BMI across these periods. The results show a significant main effect of measurement periods on height, weight and BMI Z-scores. Across time, the subjects increased in overall size, height, weight and BMI. For all the anthropometric measures there was a significant interaction effect between measurement period and sex, but none between measurement period and SES. The average increase in height, weight and BMI across time differed significantly for girls and boys, the average z-scores being greater in girls than in boys. For boys, there was little difference in height, weight and BMI Z-scores according to SES, and little increase across periods. Girls were generally taller, heavier with greater BMI than boys, and their scores increased across the time periods. High SES girls were taller, heavier and had higher BMI than low SES girls. Across the measurement periods, BMI and weight somewhat converged between the high and low SES girls. In the discussion these differences reflecting social sex distinctions are addressed.
2

Social network dynamics in the course of family formation: Results from a mixed-methods longitudinal study

100%
Klärner A., Keim S., von der Lippe H.
International Review of Social Research
|
2016
|
vol. 6
|
issue 4
245-255
EN
In this article we examine the relationship between various biographical transitions of young adulthood and the structure of social networks. We ask how personal networks change in size and composition over the course of family formation or expansion, and due to other biographical transitions. We use data from an exploratory longitudinal study that uses mixed methods of social network analysis. We were able to reconnect with 29 of 98 young adults who were interviewed from 2004 to 2006, and conducted detailed qualitative interviews with 18 of them in 2011. Our findings suggest that biographical transitions do rather have an effect on the composition than on the size of personal networks. Biographical transitions do not necessarily lead to a decrease in network size due to network partners dropping out. These network partners often get substituted by new network partners that match changing priorities in different life stages. Particularly important transitions are the interviewees’ own parenthood, as well as the parenthood of their network partners. Transitions in relationship status, relocations, and job changes were also identified as relevant biographical transitions.
3
Publication available in full text mode
Content available

Využití administrativních dat v oblasti vynucování práva pro analýzy aplikující statistické modely využívající informace o čase: příklad drogových politik

84%
Petruželka B.
Česká kriminologie (Czech Criminology)
|
2021
|
vol. 6
|
issue 1-2
1-21
EN
Criminologists try to understand the nature of various changes, such as what leads to changes in crime. One of the shortcomings of criminology, especially in a Czech context, is the underdeveloped field of statistical modeling based on time-specific information. The aim of this article is to discuss the possibilities and limits of administrative data in the field of law enforcement while applying statistical models using time-specific information. Selected methods based on the use of data containing time-specific information, through the application of time series analysis, are presented: ARIMA models and structural change models. Furthermore, examples of such analyses are provided and a theoretical framework which facilitates the use of time series models is outlined. In addition, the availability of the data needed for such analyses is assessed.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.