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      Social class differences in youths’ participation in organized sports: What are the mechanisms?

      1 , 1
      International Review for the Sociology of Sport
      SAGE Publications

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          Abstract

          Despite several decades of Sport for All policies, social class differences in organized sports participation of youth persist. However, few population-based studies have examined how social class may influence adolescent participation. We use survey data from upper secondary school students (aged 16–19) from the Norwegian capital of Oslo ( N = 10,531) and investigate the factors through which social class operates. To measure parental social class, we use the well-established Erikson, Goldthorpe and Portocarero class scheme, supplemented by indicators of economic and cultural resources. We also include data on immigrant status, neighbourhood and school affiliation. There were large differences in organized sport participation between youth from the higher and lower social classes. Indicators of parental economic resources mediated many of these differences and had an additional independent statistical effect. Indicators of cultural resources, immigrant status, and neighbourhood and school affiliation only had modest effects. We conclude that social class plays a major role in organized sport participation, and economic resources are particularly important. Methodologically, we suggest that well-established social class schemes should be used in such research, supplemented with more detailed indicators of economic resources.

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          Multiple imputation using chained equations: Issues and guidance for practice

          Multiple imputation by chained equations is a flexible and practical approach to handling missing data. We describe the principles of the method and show how to impute categorical and quantitative variables, including skewed variables. We give guidance on how to specify the imputation model and how many imputations are needed. We describe the practical analysis of multiply imputed data, including model building and model checking. We stress the limitations of the method and discuss the possible pitfalls. We illustrate the ideas using a data set in mental health, giving Stata code fragments. 2010 John Wiley & Sons, Ltd.
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            Logistic Regression: Why We Cannot Do What We Think We Can Do, and What We Can Do About It

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              A New Model of Social Class? Findings from the BBC's Great British Class Survey Experiment

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                International Review for the Sociology of Sport
                International Review for the Sociology of Sport
                SAGE Publications
                1012-6902
                1461-7218
                May 10 2018
                December 2019
                April 02 2018
                December 2019
                : 54
                : 8
                : 921-937
                Affiliations
                [1 ]OsloMet – Oslo Metropolitan University, Norway
                Article
                10.1177/1012690218764626
                51840521-a5bf-42dc-8817-ff66347ec27f
                © 2019

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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