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The application of non-linear multilevel models to experience sampling data
non-linear multilevel models experience sampling data
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2016/1/28
A great deal of evidence demonstrates that state-based aspects of human functioning,such as moment-to-moment variation in affect, explain important psychological and behavioural outcomes (e.g., Colaut...
Selectivity, Scope, and Simplicity of Models:A Lesson From Fitting Judgments of Perceived Depth
Selectivity, Scope Simplicity Models Lesson Fitting Judgments Perceived Depth
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2015/8/13
When comparing psychological models a researcher should assess their relative selectivity, scope,and simplicity. The third of these considerations can be measured by the models' parameter counts or eq...
Computational Cognitive Models of Summarization Assessment Skills
summarization macrorules cognitive modeling computer environment latent semantic analysis
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2015/7/30
This paper presents a general computational cognitive model of the way a summary is assessed by teachers. It is based on models of two subprocesses: determining the importance of sentences and guessin...
For manyyears, secondary school grades have been used as a basis to form expectations as to the performancesof students in colleges. Traditionally, this process has been conducted as a subjective and ...
A STUDY OF REDUCED RANK MODELS FOR MULTIPLE PREDICTION
REDUCED RANK MODELS MULTIPLE PREDICTION
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2015/7/24
Accurate predictions of an individual’s degree of success or failure in such socially significant activities as a college course, training for somevocation, or a particular lob wouldbe of incalculable...
Application of Markov models for analysis of development of psychological characteristics
Markov process longitudinal research genotype-environment effects phenotype distribution
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2010/2/25
A technique to study combined influence of environmental and genetic factors on the base of changes in phenotype distributions is presented. Histograms are exploited as base analyzed characteristics. ...
The analysis of change with configural frequency analysis using different base models
Configural Frequency Analysis pre-post treatment designs contingency table analysis prediction table null hypothesis null models analysis of change
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2010/1/4
Types or antitypes are based on significant deviations from the null hypothesis. Therefore, the meaning of types or antitypes depends on how the null hypothesis is specified. Here, three different bas...
Prediction models for Configural Frequency Analysis
Prediction Configural Frequency Analysis logit models design matrix
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2009/12/31
In this article, we extend the discussion of prediction models of Configural Frequency Analysis (CFA). We build on the correspondence of such prediction models to logit models that was shown by von Ey...
Base models for Configural Frequency Analysis
Configural Frequency Analysis base model log-linear model cross-classification
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2009/12/30
In this article, a grouping of base models for Configural Frequency Analysis (CFA) is proposed. Four groups are discussed. The first involves log-linear models and estimates expected cell frequencies ...
Identifying rater effects using latent trait models
Educational Measurement Performance ratings Psychometrics Rater effects Ratings
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2009/12/30
This study describes how latent trait models, specifically the multi-faceted Rasch model, may be applied to identifying rater effects in performance ratings. Three general types of rater effects are p...
IRT models with relaxed assumptions in eRm: A manual-like instruction
LLRA Rasch-models repeated measurements multidimensionality
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2009/12/16
Linear logistic models with relaxed assumptions (LLRA) as introduced by Fischer (1974) are a flexible tool for the measurement of change for dichotomous or polytomous responses. As opposed to the Rasc...
Fitting loglinear Bradley-Terry models (LLBT) for paired comparisons using the R package prefmod
Bradley-Terry(-Luce) model loglinear Bradley-Terry model prefmod
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2009/12/16
This paper aims at introducing the R package prefmod (Hatzinger, 2009) which allows the user to fit various models to paired comparison data. These models give estimated overall rankings of objects or...
Rasch and pseudo-Rasch models: suitableness for practical test applications
specific objectivity measurement structures graded responses local dependence
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2009/12/16
The Rasch model has been suggested for psychological test data (subjects items) for various scales of measurement. It is defined to be specifically objective. If the data are dichotomous, the use of t...
Higher-order models versus direct hierarchical models:g as superordinate or breadth factor?
confirmatory factor analysis higher-order models hierarchical models general intelligence
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2009/12/21
Intelligence research appears to have overwhelmingly endorsed a superordinate (higher-order model) conceptualization of g, in comparison to the relatively less well-known breadth conceptualization of ...