University of Hertfordshire

Applying Modern Test Theory in PRO Measure Development: Rasch modelling

Research output: Chapter in Book/Report/Conference proceedingChapter

Standard

Applying Modern Test Theory in PRO Measure Development: Rasch modelling. / Kamudoni, Paul; Salek, Mir-Saeed Shayegan; Johns, Nutjaree.

Living with Chronic Disease: Measuring Important Patient-Reported Outcomes. Singapore : Adis, 2018. p. 91-113.

Research output: Chapter in Book/Report/Conference proceedingChapter

Harvard

Kamudoni, P, Salek, M-SS & Johns, N 2018, Applying Modern Test Theory in PRO Measure Development: Rasch modelling. in Living with Chronic Disease: Measuring Important Patient-Reported Outcomes. Adis, Singapore, pp. 91-113. https://doi.org/10.1007/978-981-10-8414-0_5

APA

Kamudoni, P., Salek, M-S. S., & Johns, N. (2018). Applying Modern Test Theory in PRO Measure Development: Rasch modelling. In Living with Chronic Disease: Measuring Important Patient-Reported Outcomes (pp. 91-113). Adis. https://doi.org/10.1007/978-981-10-8414-0_5

Vancouver

Kamudoni P, Salek M-SS, Johns N. Applying Modern Test Theory in PRO Measure Development: Rasch modelling. In Living with Chronic Disease: Measuring Important Patient-Reported Outcomes. Singapore: Adis. 2018. p. 91-113 https://doi.org/10.1007/978-981-10-8414-0_5

Author

Kamudoni, Paul ; Salek, Mir-Saeed Shayegan ; Johns, Nutjaree. / Applying Modern Test Theory in PRO Measure Development: Rasch modelling. Living with Chronic Disease: Measuring Important Patient-Reported Outcomes. Singapore : Adis, 2018. pp. 91-113

Bibtex

@inbook{197c2bb4498b4eb7abf75286007bf6df,
title = "Applying Modern Test Theory in PRO Measure Development: Rasch modelling",
abstract = "Techniques applying classical test theory (CTT), such as item-total correlation analysis, stepwise regression and factor analysis, have been traditionally used in the development and testing of measurement models for PROs (Coste et al. 1997). Item response theory, especially the Rasch model, is an alternative approach and is increasingly being used. This is regarded by some as setting new rules in measurement and thus creating a new {\textquoteleft}gold standard{\textquoteright} in PRO instrument development (Reise and Henson 2003; Nijsten 2012). The Rasch model generates a linear metric scaled in logit units, representing the construct being measured, on which both the items and persons are located hierarchically reflecting their levels on the construct (Prieto et al. 2003). Further, the probability of a given response on an item by an individual is then given by a logistic function of the difference between the item location and person location and nothing else (Twiss et al. 2011); and the item and person parameters of the RM demonstrate invariance (DeMars 2010). Then, following a prescriptive approach, items and persons are assessed for conformity to the model by applying fit statistics (Nijsten et al. 2006) (Table 5.1).",
author = "Paul Kamudoni and Salek, {Mir-Saeed Shayegan} and Nutjaree Johns",
year = "2018",
month = sep,
day = "7",
doi = "10.1007/978-981-10-8414-0_5",
language = "English",
isbn = "978-981-10-8413-3",
pages = "91--113",
booktitle = "Living with Chronic Disease: Measuring Important Patient-Reported Outcomes",
publisher = "Adis",

}

RIS

TY - CHAP

T1 - Applying Modern Test Theory in PRO Measure Development: Rasch modelling

AU - Kamudoni, Paul

AU - Salek, Mir-Saeed Shayegan

AU - Johns, Nutjaree

PY - 2018/9/7

Y1 - 2018/9/7

N2 - Techniques applying classical test theory (CTT), such as item-total correlation analysis, stepwise regression and factor analysis, have been traditionally used in the development and testing of measurement models for PROs (Coste et al. 1997). Item response theory, especially the Rasch model, is an alternative approach and is increasingly being used. This is regarded by some as setting new rules in measurement and thus creating a new ‘gold standard’ in PRO instrument development (Reise and Henson 2003; Nijsten 2012). The Rasch model generates a linear metric scaled in logit units, representing the construct being measured, on which both the items and persons are located hierarchically reflecting their levels on the construct (Prieto et al. 2003). Further, the probability of a given response on an item by an individual is then given by a logistic function of the difference between the item location and person location and nothing else (Twiss et al. 2011); and the item and person parameters of the RM demonstrate invariance (DeMars 2010). Then, following a prescriptive approach, items and persons are assessed for conformity to the model by applying fit statistics (Nijsten et al. 2006) (Table 5.1).

AB - Techniques applying classical test theory (CTT), such as item-total correlation analysis, stepwise regression and factor analysis, have been traditionally used in the development and testing of measurement models for PROs (Coste et al. 1997). Item response theory, especially the Rasch model, is an alternative approach and is increasingly being used. This is regarded by some as setting new rules in measurement and thus creating a new ‘gold standard’ in PRO instrument development (Reise and Henson 2003; Nijsten 2012). The Rasch model generates a linear metric scaled in logit units, representing the construct being measured, on which both the items and persons are located hierarchically reflecting their levels on the construct (Prieto et al. 2003). Further, the probability of a given response on an item by an individual is then given by a logistic function of the difference between the item location and person location and nothing else (Twiss et al. 2011); and the item and person parameters of the RM demonstrate invariance (DeMars 2010). Then, following a prescriptive approach, items and persons are assessed for conformity to the model by applying fit statistics (Nijsten et al. 2006) (Table 5.1).

U2 - 10.1007/978-981-10-8414-0_5

DO - 10.1007/978-981-10-8414-0_5

M3 - Chapter

SN - 978-981-10-8413-3

SP - 91

EP - 113

BT - Living with Chronic Disease: Measuring Important Patient-Reported Outcomes

PB - Adis

CY - Singapore

ER -