A multi-method psychometric assessment of the affinity for technology interaction (ATI) scale

In order to develop valid and reliable instruments, psychometric validation should be conducted as an iterative process that “requires a multi-method assessment” (Schimmack, 2019, p. 4). In this study, a multi-method psychometric approach was applied to a recently developed and validated scale, the...

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Autores principales:	Olga Lezhnina, Gábor Kismihók
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2020
Materias:	Human-technology interaction Affinity for technology interaction Construct validity Hierarchical clustering on variables Psychometric protocol Electronic computers. Computer science QA75.5-76.95 Psychology BF1-990
Acceso en línea:	https://doaj.org/article/b0d39a464e33498fb384d60bcf90f6cf
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id	oai:doaj.org-article:b0d39a464e33498fb384d60bcf90f6cf
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spelling	oai:doaj.org-article:b0d39a464e33498fb384d60bcf90f6cf2021-12-01T05:03:02ZA multi-method psychometric assessment of the affinity for technology interaction (ATI) scale2451-958810.1016/j.chbr.2020.100004https://doaj.org/article/b0d39a464e33498fb384d60bcf90f6cf2020-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S245195882030004Xhttps://doaj.org/toc/2451-9588In order to develop valid and reliable instruments, psychometric validation should be conducted as an iterative process that “requires a multi-method assessment” (Schimmack, 2019, p. 4). In this study, a multi-method psychometric approach was applied to a recently developed and validated scale, the Affinity for Technology Interaction (ATI) scale (Franke, Attig, & Wessel, 2018). The dataset (N = 240) shared by the authors of the scale (Franke et al., 2018) was used. Construct validity of the ATI was explored by means of hierarchical clustering on variables, and its psychometric properties were analysed in accordance with an extended psychometric protocol (Dima, 2018) by methods of Classical Test Theory (CTT) and Item Response Theory (IRT). The results showed that the ATI is a unidimensional scale (homogeneity H = 0.55) with excellent reliability (ω = 0.90 [0.88-0.92]) and construct validity. Suggestions for further improvement of the ATI scale and the psychometric protocol were made.Olga LezhninaGábor KismihókElsevierarticleHuman-technology interactionAffinity for technology interactionConstruct validityHierarchical clustering on variablesPsychometric protocolElectronic computers. Computer scienceQA75.5-76.95PsychologyBF1-990ENComputers in Human Behavior Reports, Vol 1, Iss , Pp 100004- (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Human-technology interaction Affinity for technology interaction Construct validity Hierarchical clustering on variables Psychometric protocol Electronic computers. Computer science QA75.5-76.95 Psychology BF1-990
spellingShingle	Human-technology interaction Affinity for technology interaction Construct validity Hierarchical clustering on variables Psychometric protocol Electronic computers. Computer science QA75.5-76.95 Psychology BF1-990 Olga Lezhnina Gábor Kismihók A multi-method psychometric assessment of the affinity for technology interaction (ATI) scale
description	In order to develop valid and reliable instruments, psychometric validation should be conducted as an iterative process that “requires a multi-method assessment” (Schimmack, 2019, p. 4). In this study, a multi-method psychometric approach was applied to a recently developed and validated scale, the Affinity for Technology Interaction (ATI) scale (Franke, Attig, & Wessel, 2018). The dataset (N = 240) shared by the authors of the scale (Franke et al., 2018) was used. Construct validity of the ATI was explored by means of hierarchical clustering on variables, and its psychometric properties were analysed in accordance with an extended psychometric protocol (Dima, 2018) by methods of Classical Test Theory (CTT) and Item Response Theory (IRT). The results showed that the ATI is a unidimensional scale (homogeneity H = 0.55) with excellent reliability (ω = 0.90 [0.88-0.92]) and construct validity. Suggestions for further improvement of the ATI scale and the psychometric protocol were made.
format	article
author	Olga Lezhnina Gábor Kismihók
author_facet	Olga Lezhnina Gábor Kismihók
author_sort	Olga Lezhnina
title	A multi-method psychometric assessment of the affinity for technology interaction (ATI) scale
title_short	A multi-method psychometric assessment of the affinity for technology interaction (ATI) scale
title_full	A multi-method psychometric assessment of the affinity for technology interaction (ATI) scale
title_fullStr	A multi-method psychometric assessment of the affinity for technology interaction (ATI) scale
title_full_unstemmed	A multi-method psychometric assessment of the affinity for technology interaction (ATI) scale
title_sort	multi-method psychometric assessment of the affinity for technology interaction (ati) scale
publisher	Elsevier
publishDate	2020
url	https://doaj.org/article/b0d39a464e33498fb384d60bcf90f6cf
work_keys_str_mv	AT olgalezhnina amultimethodpsychometricassessmentoftheaffinityfortechnologyinteractionatiscale AT gaborkismihok amultimethodpsychometricassessmentoftheaffinityfortechnologyinteractionatiscale AT olgalezhnina multimethodpsychometricassessmentoftheaffinityfortechnologyinteractionatiscale AT gaborkismihok multimethodpsychometricassessmentoftheaffinityfortechnologyinteractionatiscale
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A multi-method psychometric assessment of the affinity for technology interaction (ATI) scale

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