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Presenter Peeters, Carel; Dept. Methodology & Statistics, Utrecht University Authors Carel F.W. Peeters and Herbert Hoijtink Dept. Methodology & Statistics, Utrecht University Title Inequality Constrained Conrmatory Factor Analysis: Bayesian Specication and Model Selection Abstract: An important topic in factor analysis (FA) is the restriction of parameters. A Bayesian framework is proposed which takes restriction of parameters in the context of confirmatory FA beyond the purpose of identification and prevention of impermissible estimates by allowing inequality and approximate equality constraints to express substantive theoretical ideas regarding direction and magnitude of effect of factor loadings. We are subsequently interested in the demarcation of competing inequality constrained formulations of factor analytic correlation structure.
Presenter Wesel van, Floryt; Dept. Methodology & Statistics, Utrecht University Authors Floryt van Wesel and Hennie Boeije; Dept. of Methodology and Statistics, Utrecht University Title Priors & Prejudice: Using existing knowledge in social science research Abstract Using Bayesian statistics implies the use of prior distributions. These prior distributions can contain information about the topic at hand that is already known from previous research. In this presentation we discuss how to acquire such existing information on the one hand and how to translate this information into a statistical prior distribution on the other hand. For the information part of the prior distribution we use three sources to formulate a single integrated theoretical model. The sources are: meta-analysis, qualitative synthesis and expert elicitation. The results that emerge from each individual source will be used to formulate an inequality constrained hypothesis. The three hypotheses are then integrated leading to an overall hypothesis representing the integrated model. This overall hypothesis is the existing information that determines the first part of the prior distribution. As the hypothesis does not contain any numerical information to base a statistical prior distribution on, we update a non-informative prior with a small part of the data, called a training sample. The final prior distribution consists of a combination of the information in the inequality constrained hypothesis and the training sample. The case we use to exemplify this procedure is that of factors influencing the development of post- traumatic stress disorder (PTSD) in children who have gone through trauma.
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The ASA Spring Methodology Conferen
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Friendships under study were formed
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the interplay of social background
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greatly inefficient. Only very few
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Data We use matched employer-employ
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KEY NOTE SPEAKER Snijders, Tom A.B.
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Presenter Hagenaars, Jacques A.P.;
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Presenter Croon, Marcel; Tilburg Sc
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Author and presenter Kuijpers, Rens
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Author and presenter Forcina, Anton
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Author and presenter Roverato, Albe
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Page 29 and 30: Presenter Bennink, Margot; Dept. Me
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Page 43 and 44: Presenter Engel, Uwe; Dept. of Soci
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Page 47 and 48: References: Razum, Oliver; Zeeb, Ha
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Page 53 and 54: Presenter Kaczmirek, Lars; GESIS -
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Page 57 and 58: Presenter Engel, Uwe; Dept. of Soci
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Page 63 and 64: efore retirement. We identify four
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Page 67 and 68: Author and presenter Lospinoso, Jos
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Page 83 and 84: Presenter Morren, Meike; Tilburg Sc
Page 85 and 86: Presenter Beuckelaer De, Alain; Rad
Page 87 and 88: Presenter Kankaraš, Miloš; Dept.
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Page 97 and 98: Author and presenter Gorter, Rosali
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