Details
| Original language | English |
|---|---|
| Article number | 100004 |
| Journal | Computers in Human Behavior Reports |
| Volume | 1 |
| Early online date | 29 May 2020 |
| Publication status | Published - 2020 |
| Externally published | Yes |
Abstract
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.
Keywords
- Affinity for technology interaction, Construct validity, Hierarchical clustering on variables, Human-technology interaction, Psychometric protocol
ASJC Scopus subject areas
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Artificial Intelligence
- Computer Science(all)
- Computer Science Applications
- Psychology(all)
- Applied Psychology
- Neuroscience(all)
- Cognitive Neuroscience
- Neuroscience(all)
- Neuroscience (miscellaneous)
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In: Computers in Human Behavior Reports, Vol. 1, 100004, 2020.
Research output: Contribution to journal › Article › Research › peer review
}
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 -