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The application of non-linear multilevel models to experience sampling data
non-linear multilevel models experience sampling data
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...
Log-linear modeling and two-sample CFA in the search of discrimination types
Two-sample comparison Configural Frequency Analysis (CFA) two-sample CFA log-linear modeling (LLM) nonparametric testing contingency table analysis
2010/1/4
Two-sample configural frequency (CFA) is suggested as a useful statistical tool to compare data from pretest-posttest-designs. The investigated data may be difference or improvement scores. The above ...
The Linear Logistic Test Model (LLTM) as the methodological foundation of item generating rules for a new verbal reasoning test
Rasch model LLTM item generating rules reasoning test
2009/12/16
Based on the demand for new verbal reasoning tests to enrich psychological test inventory, a pilot version of a new test was analysed: the 'Family Relation Reasoning Test' (FRRT; Poinstingl, Kubinger...
Examining item-position effects in large-scale assessment using the Linear Logistic Test Model
Rasch model LLTM large-scale assessment item-position effects item calibration
2009/12/21
When administering large-scale assessments, item-position effects are of particular importance because the applied test designs very often contain several test booklets with the same items presented a...