TY - JOUR

T1 - A multi-method psychometric assessment of the affinity for technology interaction (ATI) scale

AU - Lezhnina, Olga

AU - Kismihók, Gábor

N1 - Funding Information: We are grateful to Thomas Franke, Daniel Wessel and Christiane Attig, who eagerly shared their data, gave us permission to publish our results and commented on the first draft. We also thank Manuel Prinz for comments that greatly improved the manuscript.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Affinity for technology interaction

KW - Construct validity

KW - Hierarchical clustering on variables

KW - Human-technology interaction

KW - Psychometric protocol

UR - http://www.scopus.com/inward/record.url?scp=85091751502&partnerID=8YFLogxK

U2 - 10.1016/j.chbr.2020.100004

DO - 10.1016/j.chbr.2020.100004

M3 - Article

AN - SCOPUS:85091751502

VL - 1

JO - Computers in Human Behavior Reports

JF - Computers in Human Behavior Reports

M1 - 100004

ER -