14 Result(s)
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Article
Ching-Fan Sheu
Psychology
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Article
Aggressive and Prosocial Behavior: Community Violence, Cognitive, and Behavioral Predictors Among Urban African American Youth
We use longitudinal multilevel modeling to test how exposure to community violence and cognitive and behavioral factors contribute to the development of aggressive and prosocial behaviors. Specifically, we exa...
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A factor-adjusted multiple testing procedure for ERP data analysis
Event-related potentials (ERPs) are now widely collected in psychological research to determine the time courses of mental events. When event-related potentials from treatment conditions are compared, often th...
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A mixed-effects expectancy-valence model for the Iowa gambling task
The Iowa gambling task (IGT; Bechara, Damasio, Damasio, & Anderson, 1994) was developed to simulate real-life decision making under uncertainty. The task has been widely used to examine possible neurocognitive...
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Analyzing recognition performance with sparse data
Experiments in which recognition performance is measured sometimes involve only a small number of observations per subject, rendering d’ nalysis unreliable (Schooler & Shiffrin, 2005). Here, we introduce, in sign...
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Using SAS PROC NLMIXED to fit item response theory models
Researchers routinely construct tests or questionnaires containing a set of items that measure personality traits, cognitive abilities, political attitudes, and so forth. Typically, responses to these items ar...
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Fitting mixed-effects models for repeated ordinal outcomes with the NLMIXED procedure
This paper presents an analysis of repeated ordinal outcomes arising from two psychological studies. The first case is a repeated measures analysis of variance; the second is a mixed-effects regression in a lo...
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A nonlinear regression approach to estimating signal detection models for rating data
This paper considers a regression approach to estimating signal detection parameters for rating data. The methodology is based on the statistical modeling of ordinal data and requires only standard statistical...
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Meta-analysis using linear mixed models
Psychologists often use special computer programs to perform meta-analysis. Until recently, this had been necessary because standard statistical packages did not provide procedures for such analysis. This pape...
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Regression analysis of correlated binary outcomes
The purpose of this paper is to describe and illustrate a regression approach to the analysis of correlated binary outcomes (Liang & Zeger, 1986). Ignoring the correlations between repeated observations can le...
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Using java in introductory statistics
In this paper, we discuss the use of Java, a programming language for the Internet, in introductory statistics courses. Monte Carlo estimation and simple linear regression are used as tutorial examples of the ...
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Simulation-based bayesian inference using BUGS
We illustrate the application of BUGS, a Bayesian computer program, with two examples. The algorithm used in the program is a popular Markov chain Monte Carlo procedure called Gibbs sampling. Bayesian analysis...
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Implementation of nonparametric multivariate statistics with S
Multivariate nonparametric statistical methods have not been widely used by psychologists. One reason for this may have been that the usual general-purpose packages do not provide easy implementation of these ...
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Causal inferences as perceptual judgments
We analyze how subjects make causal judgments based on contingency information in two paradigms. In the discrete paradigm, subjects are given specific information about the frequency a, with which a purported ...
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Implementation of global memory models with software that does symbolic computation
A number of software tools are available that do symbolic computation that can facilitate the theoretical analysis of a mathematical model. We made use of one these tools, Mathematica (Wolfram, 1988), to imple...
