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

Lezhnina, Olga; Kismihók, Gábor

doi:10.1016/j.chbr.2020.100004

Cited by 16 publications

(8 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As the affinity for technology interaction was comparable to the German population 45 and we found a high Cronbach’s Alpha for the affinity for technology interaction in our study, we are confident that the results obtained are accurate. In addition, a recent study analyzing the psychometric properties of the scale used in our study highlights the reliability of the scale among several indices 63 . However, a longitudinal assessment would be needed to provide further confidence in the reliability of the assessment over time.…”

Section: Discussionmentioning

confidence: 67%

Understanding inherent influencing factors to digital health adoption in general practices through a mixed-methods analysis

Weik,

Fehring,

Mortsiefer

et al. 2024

npj Digit. Med.

View full text Add to dashboard Cite

Extensive research has shown the potential value of digital health solutions and highlighted the importance of clinicians’ adoption. As general practitioners (GPs) are patients’ first point of contact, understanding influencing factors to their digital health adoption is especially important to derive personalized practical recommendations. Using a mixed-methods approach, this study broadly identifies adoption barriers and potential improvement strategies in general practices, including the impact of GPs’ inherent characteristics – especially their personality – on digital health adoption. Results of our online survey with 216 GPs reveal moderate overall barriers on a 5-point Likert-type scale, with required workflow adjustments (M = 4.13, SD = 0.93), inadequate reimbursement (M = 4.02, SD = 1.02), and high training effort (M = 3.87, SD = 1.01) as substantial barriers. Improvement strategies are considered important overall, with respondents especially wishing for improved interoperability (M = 4.38, SD = 0.81), continued technical support (M = 4.33, SD = 0.91), and improved usability (M = 4.20, SD = 0.88). In our regression model, practice-related characteristics, the expected future digital health usage, GPs’ digital affinity, several personality traits, and digital maturity are significant predictors of the perceived strength of barriers. For the perceived importance of improvement strategies, only demographics and usage-related variables are significant predictors. This study provides strong evidence for the impact of GPs’ inherent characteristics on barriers and improvement strategies. Our findings highlight the need for comprehensive approaches integrating personal and emotional elements to make digitization in practices more engaging, tangible, and applicable.

show abstract

Section: Discussionmentioning

confidence: 67%

Understanding inherent influencing factors to digital health adoption in general practices through a mixed-methods analysis

Weik,

Fehring,

Mortsiefer

et al. 2024

npj Digit. Med.

View full text Add to dashboard Cite

show abstract

“…Since the single factor structure of the ATI scale was explored in study 1 and has already been confirmed in the literature (Franke et al, 2019;Lezhnina and Kismihók, 2020), no further PAF was performed in study 2.…”

Section: Discussionmentioning

confidence: 99%

“…The 9-item ATI-scale (Franke et al, 2019) was developed as an economic, unidimensional alternative to existing instruments for surveying technology affinity. The scale has been officially translated into three languages and its reliability and validity have already been confirmed (Franke et al, 2019;Lezhnina and Kismihók, 2020;Heilala et al, 2022). Further unofficial translations can be found on the website of the authors of the ATI (University of Lübeck, 2022).…”

Section: Instruments Affinity For Technology Interaction Scalementioning

confidence: 99%

Inclusion of technology affinity in self scale–Development and evaluation of a single item measurement instrument for technology affinity

et al. 2022

View full text Add to dashboard Cite

The success of the increasing use of technology in education is highly dependent on learner acceptance. Although the Technology Acceptance Model (TAM) is dominant in research for surveying acceptance of technology, it does not allow the prediction of a successful first time use of technology. The successful first time use can be determined with the survey of technology affinity, as it corresponds to the expression of certain personality traits of users and is thus detached from the specific technology. Since there are no measurement instruments for the educational sector so far and existing instruments for measuring technology affinity do not meet the specific requirements for use in the educational context (e.g., limited time for questioning), we present the single item Inclusion of Technology Affinity in Self-Scale (ITAS). In study 1 we provide evidence of convergent and discriminant validity within the general population so that a generalization of its applicability is possible. In study 2 we subsequently tested ITAS in the actual target group, the educational sector. The high correlations of the ITAS with the ATI and the control instrument TA-EG (ranging from rs = 0.679 to rs = 0.440) show that ITAS is suitable for use in research. Furthermore, the newly developed instrument convinces with its low complexity, the graphical component, which requires little text understanding and the high time saving. This research thus can contribute to the investigation of technology affinity in the educational sector helping educators to conduct technical activities with their learning group, to predict possible difficulties and adjust their planning accordingly.

show abstract

“…Its validity has been confirmed, and reliability is excellent ( ω = 0.90 [0.88–0.92]). 25 – 27 Participants were asked to complete the German version of the ATI by rating the nine items using a 6-point Likert scale (1 = completely disagree to 6 = completely agree). In the questionnaire, the term “technical systems” is consequently used which is defined in the introductory part of the questionnaire as “apps and other software applications as well as complete digital devices (e.g.…”

Section: Methodsmentioning

confidence: 99%

Are nursing home employees ready for the technical evolution? German-wide survey on the status quo of affinity for technology and technology interaction

Barisch-Fritz,

Krafft,

Rayling

et al. 2023

DIGITAL HEALTH

View full text Add to dashboard Cite

Background Technological devices can support nursing home employees; however, their perspective is not sufficiently studied. Our aims were thus to (a) examine affinity for technology and technology interaction and related sociodemographic confounders, as well as (b) detect possible requirements and boundary conditions relevant for the development and implementation of assistive technologies among nursing home employees. Methods We conducted an online survey between May and July of 2022 among 200 nursing home employees in Germany. The survey included two questionnaires, that is, Affinity for Technology Interaction (ATI) and Affinity for Technology—Electronic Devices (TA-EG; subscales TA-EG-Enthusiasm, TA-EG-Competence, TA-EG-Positive Consequences, and TA-EG-Negative Consequences), as well as sociodemographic variables, that is, age, gender, professional groups, education/graduation level. We carried out factorial variance and multiple regression analyses. Results There were differences between age groups in ATI (lower score with increasing age) and between gender, age, and professional group in TA-EG (lower score for females, participants with higher ages, and nursing home managers). Predictors of ATI were age and professional group, predictors of TA-EG, TA-EG-Enthusiasm, and TA-EG-Competence were gender, age, and professional group. Predictors of TA-EG-Positive Consequences were education and professional group. Conclusions We observed rather high affinity for technology and technology interaction values overall, and particularly for nursing home employees compared to managers. Significant predictors for technology affinity and interaction may have important implications, for example the perspectives of nursing home employees and managers should be considered separately in the technological design, development, and implementation process. Furthermore, an open dialogue between all stakeholders should be encouraged to increase the probability of actual technology use.

show abstract

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

Cited by 16 publications

References 31 publications

Understanding inherent influencing factors to digital health adoption in general practices through a mixed-methods analysis

Understanding inherent influencing factors to digital health adoption in general practices through a mixed-methods analysis

Inclusion of technology affinity in self scale–Development and evaluation of a single item measurement instrument for technology affinity

Are nursing home employees ready for the technical evolution? German-wide survey on the status quo of affinity for technology and technology interaction

Contact Info

Product

Resources

About