Developing and Measuring IS Scales Using Item Response Theory

Thomas Rusch; Patrick Mair; Paul Benjamin Lowry; Horst Treiblmaier

doi:10.13140/2.1.1264.0969

Developing and Measuring IS Scales Using Item Response Theory

Thomas Rusch, Patrick Mair, Paul Benjamin Lowry, Horst Treiblmaier

Research Center Steyr

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

Abstract

Information Systems (IS) research frequently uses survey data to measure the interplay between technological systems and human beings. Researchers have developed sophisticated procedures to build and validate multi-item scales that measure latent constructs. Most studies use classical test theory (CTT), which suffers from several theoretical shortcomings. We discuss these problems and present item response theory (IRT) as a viable alternative. Subsequently, we use the CTT approach as well as Rasch models (a class of restrictive IRT models) to develop a scale for measuring the hedonic aspects of websites. The results illustrate how IRT can not only be successfully applied in IS research but also provide improved results over CTT approaches.

Original language	English
Title of host publication	Proceedings of the International Conference on Information Systems
DOIs	https://doi.org/10.13140/2.1.1264.0969
Publication status	Published - 2013
Event	International Conference on Information Systems (ICIS) - Milano, Italy Duration: 15 Dec 2013 → 18 Dec 2013 http://icis2013.aisnet.org/

Conference

Conference	International Conference on Information Systems (ICIS)
Country/Territory	Italy
City	Milano
Period	15.12.2013 → 18.12.2013
Internet address	http://icis2013.aisnet.org/

Keywords

Item Response Theory
Rasch Model
Partial Credit Model
Measurement
Hedonism
Hedonic Information Systems
Classical Test Theory

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10.13140/2.1.1264.0969

Cite this

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title = "Developing and Measuring IS Scales Using Item Response Theory",

abstract = "Information Systems (IS) research frequently uses survey data to measure the interplay between technological systems and human beings. Researchers have developed sophisticated procedures to build and validate multi-item scales that measure latent constructs. Most studies use classical test theory (CTT), which suffers from several theoretical shortcomings. We discuss these problems and present item response theory (IRT) as a viable alternative. Subsequently, we use the CTT approach as well as Rasch models (a class of restrictive IRT models) to develop a scale for measuring the hedonic aspects of websites. The results illustrate how IRT can not only be successfully applied in IS research but also provide improved results over CTT approaches.",

keywords = "Item Response Theory, Rasch Model, Partial Credit Model, Measurement, Hedonism, Hedonic Information Systems, Classical Test Theory, Item Response Theory, Rasch Model, Partial Credit Model, Measurement, Hedonism, Hedonic Information Systems, Classical Test Theory",

author = "Thomas Rusch and Patrick Mair and Lowry, \{Paul Benjamin\} and Horst Treiblmaier",

year = "2013",

doi = "10.13140/2.1.1264.0969",

language = "English",

booktitle = "Proceedings of the International Conference on Information Systems",

note = "International Conference on Information Systems (ICIS) ; Conference date: 15-12-2013 Through 18-12-2013",

url = "http://icis2013.aisnet.org/",

}

TY - GEN

T1 - Developing and Measuring IS Scales Using Item Response Theory

AU - Rusch, Thomas

AU - Mair, Patrick

AU - Lowry, Paul Benjamin

AU - Treiblmaier, Horst

PY - 2013

Y1 - 2013

N2 - Information Systems (IS) research frequently uses survey data to measure the interplay between technological systems and human beings. Researchers have developed sophisticated procedures to build and validate multi-item scales that measure latent constructs. Most studies use classical test theory (CTT), which suffers from several theoretical shortcomings. We discuss these problems and present item response theory (IRT) as a viable alternative. Subsequently, we use the CTT approach as well as Rasch models (a class of restrictive IRT models) to develop a scale for measuring the hedonic aspects of websites. The results illustrate how IRT can not only be successfully applied in IS research but also provide improved results over CTT approaches.

AB - Information Systems (IS) research frequently uses survey data to measure the interplay between technological systems and human beings. Researchers have developed sophisticated procedures to build and validate multi-item scales that measure latent constructs. Most studies use classical test theory (CTT), which suffers from several theoretical shortcomings. We discuss these problems and present item response theory (IRT) as a viable alternative. Subsequently, we use the CTT approach as well as Rasch models (a class of restrictive IRT models) to develop a scale for measuring the hedonic aspects of websites. The results illustrate how IRT can not only be successfully applied in IS research but also provide improved results over CTT approaches.

KW - Item Response Theory

KW - Rasch Model

KW - Partial Credit Model

KW - Measurement

KW - Hedonism

KW - Hedonic Information Systems

KW - Classical Test Theory

KW - Item Response Theory

KW - Rasch Model

KW - Partial Credit Model

KW - Measurement

KW - Hedonism

KW - Hedonic Information Systems

KW - Classical Test Theory

U2 - 10.13140/2.1.1264.0969

DO - 10.13140/2.1.1264.0969

M3 - Conference contribution

BT - Proceedings of the International Conference on Information Systems

T2 - International Conference on Information Systems (ICIS)

Y2 - 15 December 2013 through 18 December 2013

ER -

Developing and Measuring IS Scales Using Item Response Theory

Abstract

Conference

Keywords

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