Dataset.
2022
Data of simulation study for preliminary detection of problematic items in item factor analysis
CORA.Repositori de Dades de Recerca
doi:10.34810/data759
CORA.Repositori de Dades de Recerca
- Ferrando, Pere J.
- Lorenzo-Seva, Urbano
- Bargalló-Escrivà, M. Teresa
It was carried out a simulation study that took into account the item properties of extremeness (difficulty, location) and consistency. The background idea is that a scale should be defined by a minimum of five items. In addition, averaged bias and sampling error of the five items were also inspected.
Files included in the dataset: Data LINEAL: The items are analysed based on linear factor analysis; Data GRADED: The items are analysed based on no-linear factor analysis
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1 Documentos relacionados
1 Documentos relacionados
Repositori Institucional de la Universitat Rovira i Virgili
oai:urv.cat:PC:3833
Otros (other). 20
DATA OF SIMULATION STUDY FOR PRELIMINARY DETECTION OF PROBLEMATIC ITEMS IN ITEM FACTOR ANALYSIS
Repositori Institucional de la Universitat Rovira i Virgili
- Ferrando, Pere J.;Lorenzo-Seva, Urbano;Bargalló-Escrivà, M. Teresa
It was carried out a simulation study that took into account the item properties of extremeness (difficulty, location) and consistency. The background idea is that a scale should be defined by a minimum of five items. In addition, averaged bias and sampling error of the five items were also inspected. Files included in the dataset: Data LINEAL: The items are analysed based on linear factor analysis; Data GRADED: The items are analysed based on no-linear factor analysis (2023-06-15)
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1 Versiones
1 Versiones
CORA.Repositori de Dades de Recerca
doi:10.34810/data759
Dataset. 2022
DATA OF SIMULATION STUDY FOR PRELIMINARY DETECTION OF PROBLEMATIC ITEMS IN ITEM FACTOR ANALYSIS
CORA.Repositori de Dades de Recerca
- Ferrando, Pere J.
- Lorenzo-Seva, Urbano
- Bargalló-Escrivà, M. Teresa
It was carried out a simulation study that took into account the item properties of extremeness (difficulty, location) and consistency. The background idea is that a scale should be defined by a minimum of five items. In addition, averaged bias and sampling error of the five items were also inspected.
Files included in the dataset: Data LINEAL: The items are analysed based on linear factor analysis; Data GRADED: The items are analysed based on no-linear factor analysis
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