Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.paid.2014.03.017
Title: Investigating invariant item ordering in the Mental Health Inventory: An illustration of the use of different methods
Authors: Watson, R.
Wang, W. 
Thompson, D.R.
Meijer, R.R.
Keywords: Coronary heart disease
Invariant item ordering
Item response theory
Mental health
Mokken scaling
Issue Date: 2014
Citation: Watson, R., Wang, W., Thompson, D.R., Meijer, R.R. (2014). Investigating invariant item ordering in the Mental Health Inventory: An illustration of the use of different methods. Personality and Individual Differences 66 : 74-78. ScholarBank@NUS Repository. https://doi.org/10.1016/j.paid.2014.03.017
Abstract: Invariant item ordering is a property of scales whereby the items are scored in the same order across a wide range of the latent trait and across a wide range of respondents. In the package 'mokken' in the statistical software R, the ability to analyse Mokken scales for invariant item ordering has recently been available and techniques for inspecting visually the item response curves of item pairs, have also been included. While methods to assess invariant item ordering are available, there have been indications that items representing extremes of distress in mental well-being scales, such as suicidal ideation, may lead to claiming invariant item ordering where it does not exist. We used the Mental Health Inventory to see if invariant item ordering was indicated in any Mokken scales derived and to see if this was being influenced by extreme items. A Mokken scale was derived indicating invariant item ordering. Visual inspection of the item pairs indicated that the most difficult item (suicidal ideation) was located far from the remaining cluster of items. Removing this item lowered invariant item ordering to an unacceptable level. © 2014.
Source Title: Personality and Individual Differences
URI: http://scholarbank.nus.edu.sg/handle/10635/125529
ISSN: 01918869
DOI: 10.1016/j.paid.2014.03.017
Appears in Collections:Staff Publications

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