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Klima, André; Schlesinger, Thomas; Thurner, Paul W.; Küchenhoff, Helmut – Sociological Methods & Research, 2019
Our objective is the estimation of voter transitions between two consecutive parliamentary elections. Usually, such analyses have been based either on individual survey data or on aggregated data. To move beyond these methods and their respective problems, we propose the application of so-called hybrid models, which combine aggregate and…
Descriptors: Foreign Countries, Voting, Computation, Elections
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Adang, Otto M. J. – Sociological Methods & Research, 2018
The article outlines a methodology for systematically observing collective violence (and public order policing in relation to it). Specific attention is given to matters of sampling and measurement and to the way in which observational challenges have been met in comparison with participant observational studies of demonstrations and football…
Descriptors: Observation, Violence, Law Enforcement, Research Methodology
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Oliver, Elia; Vallés-?erez, Iván; Baños, Rosa-María; Cebolla, Ausias; Botella, Cristina; Soria-Olivas, Emilio – Sociological Methods & Research, 2018
Data collected in psychological studies are mainly characterized by containing a large number of variables (multidimensional data sets). Analyzing multidimensional data can be a difficult task, especially if only classical approaches are used (hypothesis tests, analyses of variance, linear models, etc.). Regarding multidimensional models, visual…
Descriptors: Data Analysis, Visual Aids, Maps, Psychological Studies
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Vaisey, Stephen; Miles, Andrew – Sociological Methods & Research, 2017
The recent change in the general social survey (GSS) to a rotating panel design is a landmark development for social scientists. Sociological methodologists have argued that fixed-effects (FE) models are generally the best starting point for analyzing panel data because they allow analysts to control for unobserved time-constant heterogeneity. We…
Descriptors: Surveys, Data, Statistical Analysis, Models
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Piccarreta, Raffaella – Sociological Methods & Research, 2017
In its standard formulation, sequence analysis aims at finding typical patterns in a set of life courses represented as sequences. Recently, some proposals have been introduced to jointly analyze sequences defined on different domains (e.g., work career, partnership, and parental histories). We introduce measures to evaluate whether a set of…
Descriptors: Data Analysis, Multivariate Analysis, Social Science Research, Factor Analysis
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Young, Cristobal; Holsteen, Katherine – Sociological Methods & Research, 2017
Model uncertainty is pervasive in social science. A key question is how robust empirical results are to sensible changes in model specification. We present a new approach and applied statistical software for computational multimodel analysis. Our approach proceeds in two steps: First, we estimate the modeling distribution of estimates across all…
Descriptors: Models, Ambiguity (Context), Robustness (Statistics), Social Science Research
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Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
We extend a unified and easy-to-use approach to measurement error and missing data. In our companion article, Blackwell, Honaker, and King give an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details, more sophisticated measurement error model…
Descriptors: Error of Measurement, Correlation, Simulation, Bayesian Statistics
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Lohr, Sharon L.; Zhu, Xiaoshu – Sociological Methods & Research, 2017
Many randomized experiments in the social sciences allocate subjects to treatment arms at the time the subjects enroll. Desirable features of the mechanism used to assign subjects to treatment arms are often (1) equal numbers of subjects in intervention and control arms, (2) balanced allocation for population subgroups and across covariates, (3)…
Descriptors: Social Science Research, Randomized Controlled Trials, Research Design, Computer Software
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Yamaguchi, Kazuo – Sociological Methods & Research, 2016
This article describes (1) the survey methodological and statistical characteristics of the nonrandomized method for surveying sensitive questions for both cross-sectional and panel survey data and (2) the way to use the incompletely observed variable obtained from this survey method in logistic regression and in loglinear and log-multiplicative…
Descriptors: Data Analysis, Surveys, Statistical Analysis, Regression (Statistics)
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MacDonald, K. I. – Sociological Methods and Research, 1979
The use of a path analysis model to obtain unique, substantively meaningful decomposition of variance among endogenous (independent) variables in the model is argued. This reasoning runs counter to more traditional path analytic work. An example is provided. (Author/JKS)
Descriptors: Analysis of Covariance, Analysis of Variance, Critical Path Method, Data Analysis
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Teachman, Jay D. – Sociological Methods and Research, 1980
Defining population diversity as the distribution along a continuum of homogeneity to heterogeneity with respect to one or more variables, measures are described with variance-based interpretations which can be applied to qualitative data. It is possible to use these statistics to define relationships in multivariate distributions. (Author/CTM)
Descriptors: Analysis of Variance, Classification, Correlation, Data Analysis
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Borgatta, Edgar F.; Jackson, David J. – Sociological Methods and Research, 1979
A brief perspective on the analysis and use of aggregate data is presented in this overview. The remainder of this journal (TM 504 431 - 504 435) is devoted to the problems of aggregate data analysis. (JKS)
Descriptors: Data Analysis, Statistical Analysis, Statistical Data, Technical Reports