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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Bibliographic Details
Published in:Computers in human behavior reports 2020-01, Vol.1, p.100004, Article 100004
Main Authors: Lezhnina, Olga, Kismihók, Gábor
Format: Article
Language:English
Subjects:
Affinity for technology interaction
Construct validity
Hierarchical clustering on variables
Human-technology interaction
Psychometric protocol
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Summary: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.
ISSN:2451-9588
2451-9588
DOI:10.1016/j.chbr.2020.100004