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Mitnik, Pablo A.; Cumberworth, Erin – Sociological Methods & Research, 2021
Periodic changes in occupational classifications make it difficult to obtain consistent measures of social class over time, potentially jeopardizing research on class-based trends. The severity of this problem depends, in part, on the measurement strategies used to address those changes. The authors propose that when a sample has been coded partly…
Descriptors: Social Class, Occupations, Reliability, Measurement Techniques
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Rhemtulla, Mijke; Jia, Fan; Wu, Wei; Little, Todd D. – International Journal of Behavioral Development, 2014
We examine the performance of planned missing (PM) designs for correlated latent growth curve models. Using simulated data from a model where latent growth curves are fitted to two constructs over five time points, we apply three kinds of planned missingness. The first is item-level planned missingness using a three-form design at each wave such…
Descriptors: Data Analysis, Error of Measurement, Models, Longitudinal Studies
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Lang, Kyle M.; Little, Todd D. – International Journal of Behavioral Development, 2014
We present a new paradigm that allows simplified testing of multiparameter hypotheses in the presence of incomplete data. The proposed technique is a straight-forward procedure that combines the benefits of two powerful data analytic tools: multiple imputation and nested-model ?2 difference testing. A Monte Carlo simulation study was conducted to…
Descriptors: Hypothesis Testing, Data Analysis, Error of Measurement, Computation
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Gilbert, Neil – Society, 1994
Deliberations about social policy often center on estimates of harm or benefit generated by different interest groups. Problems in what is measured and how it is measured are illustrated by a discussion of research into sexual abuse and rape. Advocacy research is an unreliable foundation for social policy formation. (SLD)
Descriptors: Advocacy, Child Abuse, Computation, Data Collection