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Explaining and controlling for the psychometric properties of computer-generated figural matrix items

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Standard

Explaining and controlling for the psychometric properties of computer-generated figural matrix items. / Freund, Phlipp Alexander; Hofer, Stefan; Holling, Heinz.
in: Applied Psychological Measurement, Jahrgang 32, Nr. 3, 05.2008, S. 195-210.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Harvard

Freund, PA, Hofer, S & Holling, H 2008, 'Explaining and controlling for the psychometric properties of computer-generated figural matrix items', Applied Psychological Measurement, Jg. 32, Nr. 3, S. 195-210. https://doi.org/10.1177/0146621607306972

APA

Freund, P. A., Hofer, S., & Holling, H. (2008). Explaining and controlling for the psychometric properties of computer-generated figural matrix items. Applied Psychological Measurement, 32(3), 195-210. https://doi.org/10.1177/0146621607306972

Vancouver

Freund PA, Hofer S, Holling H. Explaining and controlling for the psychometric properties of computer-generated figural matrix items. Applied Psychological Measurement. 2008 Mai;32(3):195-210. doi: 10.1177/0146621607306972

Bibtex

@article{ae4f229834d5485cba2c7a0b55d1a1b4,
title = "Explaining and controlling for the psychometric properties of computer-generated figural matrix items",
abstract = "Figural matrix items are a popular task type for assessing general intelligence (Spearman's g). Items of this kind can be constructed rationally, allowing the implementation of computerized generation algorithms. In this study, the influence of different task parameters on the degree of difficulty in matrix items was investigated. A sample of N = 169 participants (all age groups) completed a set of 25 automatically generated 4 × 4 matrix items. Data collection was conducted through the World Wide Web. All items showed a good fit with the Rasch model, and item difficulty could be explained reasonably well through the implemented task parameters. The research indicated that matrix items can easily be generated using well-defined computerized algorithms. Their composite character explains item difficulty to a satisfactory degree and enables researchers to construct items with anticipated psychometric properties and Rasch model conformity. Practical advantages of these findings are pointed out.",
keywords = "Psychology, automatic item generation, figural matrix items, item task parameters, LLTM, Rasch model",
author = "Freund, {Phlipp Alexander} and Stefan Hofer and Heinz Holling",
year = "2008",
month = may,
doi = "10.1177/0146621607306972",
language = "English",
volume = "32",
pages = "195--210",
journal = "Applied Psychological Measurement",
issn = "0146-6216",
publisher = "SAGE Publications Inc.",
number = "3",

}

RIS

TY - JOUR

T1 - Explaining and controlling for the psychometric properties of computer-generated figural matrix items

AU - Freund, Phlipp Alexander

AU - Hofer, Stefan

AU - Holling, Heinz

PY - 2008/5

Y1 - 2008/5

N2 - Figural matrix items are a popular task type for assessing general intelligence (Spearman's g). Items of this kind can be constructed rationally, allowing the implementation of computerized generation algorithms. In this study, the influence of different task parameters on the degree of difficulty in matrix items was investigated. A sample of N = 169 participants (all age groups) completed a set of 25 automatically generated 4 × 4 matrix items. Data collection was conducted through the World Wide Web. All items showed a good fit with the Rasch model, and item difficulty could be explained reasonably well through the implemented task parameters. The research indicated that matrix items can easily be generated using well-defined computerized algorithms. Their composite character explains item difficulty to a satisfactory degree and enables researchers to construct items with anticipated psychometric properties and Rasch model conformity. Practical advantages of these findings are pointed out.

AB - Figural matrix items are a popular task type for assessing general intelligence (Spearman's g). Items of this kind can be constructed rationally, allowing the implementation of computerized generation algorithms. In this study, the influence of different task parameters on the degree of difficulty in matrix items was investigated. A sample of N = 169 participants (all age groups) completed a set of 25 automatically generated 4 × 4 matrix items. Data collection was conducted through the World Wide Web. All items showed a good fit with the Rasch model, and item difficulty could be explained reasonably well through the implemented task parameters. The research indicated that matrix items can easily be generated using well-defined computerized algorithms. Their composite character explains item difficulty to a satisfactory degree and enables researchers to construct items with anticipated psychometric properties and Rasch model conformity. Practical advantages of these findings are pointed out.

KW - Psychology

KW - automatic item generation

KW - figural matrix items

KW - item task parameters

KW - LLTM

KW - Rasch model

UR - http://www.scopus.com/inward/record.url?scp=41549114185&partnerID=8YFLogxK

U2 - 10.1177/0146621607306972

DO - 10.1177/0146621607306972

M3 - Journal articles

VL - 32

SP - 195

EP - 210

JO - Applied Psychological Measurement

JF - Applied Psychological Measurement

SN - 0146-6216

IS - 3

ER -

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