Adaptation of Affinity for Technology Interaction Scale to Turkish Culture and Evaluation of Measurement Invariance: ATI-T

Abstract

An important dimension of human-technology interaction is whether people approach actively interacting with technological systems or avoid intense interaction with them. This dimension is also important for an individual’s ability to cope with technological changes, necessitating the need to observe and comprehend individual differences. In this study, we aimed to adapt the Affinity for Technology Interaction (ATI) scale to Turkish and evaluate its psychometric properties, including measurement invariance, in the target culture. A team of English and Turkish language linguists, psychometrists, and technology education experts carried out the process. Four applications were conducted in four different respondent groups to examine intelligibility, linguistic equivalence, reliability, validity, and measurement invariance. The one-dimensional and nine-item original scale structure was confirmed by confirmatory factor analysis. The internal consistency and test-retest reliability coefficients were calculated as 0.90 and 0.94, respectively. We also concluded that a strict level of measurement invariance was provided in the analysis of invariance between age and gender groups. These findings demonstrated that ATI-T is a measurement tool capable of measuring affinity for technology interaction in Turkish-speaking societies.

Keywords:

• Technology interaction
• scale adaptation
• measurement invariance
• validity
• reliability

Acknowledgments

We want to thank Dr. Zehra Esin Yücel, Dr. Dilek Canlıer, İlkay Gökçe, Zehra Yedigöz Kara, Özben Akseki, Oya Pangal, Dr. Soner Akşehirli, Eflak Malgaca Vargel, and Dr. Mustafa Coşkun for performing the translation of the ATI scale and Yağız Numan Dolgun for proofreading.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Elif Kübra Demir

Elif Kübra Demir is an assistant professor at Measurement and Evaluation in Education Department, Ege University. She holds a PhD in psychometrics from Hacettepe University. She is interested in latent class analysis, item response theory, test development, and cross-cultural scale adaptation.

Sait Çüm

Sait Çüm is the coordinator of the textbook and digital material commissions at the Turkish Ministry of Education. Hacettepe University awarded him a doctorate in psychometrics. During his post-doc research at Charles University, he worked on latent variables and modeling. Author’s studies focuses on test theories and big data analysis.

Tarık Kışla

Tarık Kışla is a professor in the Computer and Instructional Technologies Department at Ege University. He received his PhD in 2009 on Information Technologies from Ege University. He is particularly interested in distance learning, mobile learning, instructional technologies, software technologies, and natural language processing.