Dataset Information

Measuring Senior Technology Acceptance: Development of a Brief, 14-Item Scale.

ABSTRACT: Background and Objectives:Technology has the potential to provide assistance and enrichment to older people; however, the desired outcomes are dependent on users' acceptance and usage. The senior technology acceptance model (STAM) was developed as a multidimensional measure assessing older people's acceptance of general technology. It contained 11 constructs measured by 38 items and had shown satisfactory psychometric properties. However, the length of the questionnaire increased respondent burden and limited its utilization. The study aimed to develop a brief, reliable, and valid version of scale to measure older people's technology acceptance by shortening the full, 38-item STAM questionnaire. Research Design and Methods:The research method included (1) a sequential item-reduction strategy maximizing internal consistency, (2) convergent and discriminant validity analysis based on confirmative factor analysis, and (3) an expert review of resultant items. Data previously collected for developing the original STAM questionnaire were used to create the brief version. The data were collected from 1,012 community-dwelling individuals aged 55 and older in Hong Kong. Internal consistency and construct validity of the shortened questionnaire were examined. Two experts were invited for reviewing content validity. Results:The final 14-item, brief version of the STAM questionnaire consisted of a 4-factor structure, representing classical technology acceptance constructs and age-related health characteristics. Theoretical relationships in the brief version showed similar patterns to the original STAM. The 14-item STAM demonstrated robustness in psychometrics by preserving the reliability and validity of the original STAM questionnaire. Discussion and Implications:The availability of a reliable and valid assessment tool of the short STAM can help researchers and practitioners to measure older adults' acceptance of technology and its effective usage. The short STAM could save administration time, reduce the burden on respondents, and be included in large-scale surveys.

SUBMITTER: Chen K

PROVIDER: S-EPMC7320876 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Measuring Senior Technology Acceptance: Development of a Brief, 14-Item Scale.

Chen Ke K Lou Vivian Wei Qun VWQ

Innovation in aging 20200627 3

<h4>Background and objectives</h4>Technology has the potential to provide assistance and enrichment to older people; however, the desired outcomes are dependent on users' acceptance and usage. The senior technology acceptance model (STAM) was developed as a multidimensional measure assessing older people's acceptance of general technology. It contained 11 constructs measured by 38 items and had shown satisfactory psychometric properties. However, the length of the questionnaire increased respond ...[more]

PMID: 32617418

Similar Datasets

Project description:BackgroundThere are considerable gaps between the need for assistive technologies and the actual adoption of these technologies among older adults, although older adults are among the groups that most need assistive technologies. Consequently, research is needed in this area because older adults' technology acceptance and influencing factors may differ depending on their level of frailty.ObjectiveThe objective of this study was to compare frail, prefrail, and robust groups of South Korean adults regarding their behavioral intention to use daily living assistive technologies and the affecting factors-namely, technological context factors, health contexts and abilities, and attitudinal factors-based on a comprehensive senior technology acceptance model.MethodsA nationwide sample of 500 older South Korean adults (aged 55-92 years) was analyzed, and multivariate linear regression analyses of the robust, prefrail, and frail groups were performed. The independent and dependent variables consisted of 3 factors based on previous studies. First, technological context factors consisted of gerontechnology self-efficacy, gerontechnology anxiety, and facilitating conditions. Second, health contexts and abilities consisted of self-reported health conditions, cognitive ability, social relationships, psychological function, and physical function. Third and last, attitudinal factors consisted of behavioral intention to use assistive technologies, attitude toward use, perceived usefulness (PU), and perceived ease of use (PEOU).ResultsThe results of the analyses showed that technological context factors such as gerontechnology self-efficacy, health contexts and abilities such as self-reported health conditions and psychological function, and attitudinal factors such as attitude toward use, PU, and PEOU had significant effects on behavioral intention to use daily living assistive technologies. In particular, gerontechnology self-efficacy had a significant relationship with behavioral intention to use these technologies in the robust (r=0.120; P=.03) and prefrail (r=0.331; P<.001) groups. Psychological function (life satisfaction) had a significant relationship with behavioral intention to use these technologies in the robust group (r=-0.040; P=.02). Self-reported health conditions had a significant relationship with behavioral intention to use these technologies in the prefrail group (r=-0.169; P=.01). Although each group had a different significant relationship with the variables, attitudinal factors such as attitude toward use affected all groups (robust group: r=0.190; P=.03; prefrail group: r=0.235; P=.006; and frail group: r=0.526; P=.002). In addition, PU and PEOU in the attitudinal factors had a significant relationship with behavioral intention to use assistive technologies in the robust (PU: r=0.160; P=.01; and PEOU: r=0.350; P<.001) and prefrail (PU: r=0.265; P<.001; and PEOU: r=0.120; P=.04) groups.ConclusionsThis study found that the comprehensive senior technology acceptance model of daily living assistive technologies had different associations according to the frailty group. These findings provided insights into the consideration of interventions with daily living assistive technologies for older adults with varying levels of frailty.

Project description:BackgroundPatients and clinicians endorse the importance of compassionate healthcare but patients report gaps between its perceived importance and its demonstration. Empathy and compassion have been associated with quality of life and significant health outcomes but these characteristics are not optimally measured or used for performance and organizational improvement.ObjectiveTo address these gaps, we conducted a study with the objective of evaluating the properties of the 12-item Schwartz Center Compassionate Care Scale® using psychometric analysis and cognitive debriefing.MethodsNon-hospitalized patients with multiple chronic conditions were sampled using an on-line platform. Classical test theory and Rasch measurement theory were used to evaluate psychometric properties of the scale. Structured questions elicited cognitive responses regarding clarity of each item.ResultsClassical test theory analysis confirmed that the 12-item Schwartz Center Compassionate Care Scale is a unidimensional scale with excellent internal consistency and test-retest reliability. Patients' ratings of compassionate behaviors using the Schwartz Center Compassionate Care Scale correlated significantly with a related instrument designed to measure empathy, demonstrating convergent validity. Rasch measurement theory showed that reducing the number of response options on 3 items in the scale would improve respondents' discrimination between responses on these items. Although person-item threshold distribution analysis showed that patients may wish to rate compassionate care at levels both higher and lower than the scale permits, items could be ordered on an interval scale from low to high levels of compassionate care.ConclusionsThe current 12-item Schwartz Center Compassionate Care Scale demonstrates excellent psychometric properties by Classical Test Theory and Rasch measurement theory. The 12-item Schwartz Center Compassionate Care Scale adds questions related to understanding and discussing emotional, contextual issues and the needs of the patient and family. Easily completed on-line, it could be used for work-place based assessment and feedback to clinicians and performance or quality improvement.

Project description:BACKGROUND:Interactive digital technology use is integral to adolescents' lives and has been associated with both health benefits and risks. Previous studies have largely focused on measuring the quantity of technology use or understanding the use of specific platforms. To better understand adolescents' interactive digital technology use, we need new approaches that consider technology interactions and their importance. OBJECTIVE:This study aimed to develop an assessment tool to evaluate adolescents' digital technology interactions and their perceived importance. METHODS:We used a validated scale development approach comprising 2 initial steps to create an item pool: item pool development and item pool refinement. These steps relied upon empirical literature review and an expert convening. We then evaluated the item pool using a Web-based survey. Data were collected via Qualtrics panel recruitment from a national sample of 12- to 18-year-olds. Participant data were randomly split into a development subsample for exploratory factor analysis (EFA) and a test subsample for confirmatory factor analysis (CFA). We assessed Cronbach alpha as well as model fit characteristics including root mean square error of approximation (RMSEA) and comparative fit index (CFI). RESULTS:Our initial item pool had 71 items and the refined item pool contained 40. A total of 761 adolescents assessed the item pool via Web-based survey. Participants had a mean age of 14.8 (SD 1.7) years and were 52.8% (402/761) female and 77.5% (590/761) white. The EFA analysis included 500 participants and an 18-item draft scale was created. The CFA included 261 participants to test the draft scale. Adequate model fit for the scale was indicated by an RMSEA of 0.063 and a CFI of 0.95. The final scale included 18 items in a 3-factor model, with Cronbach alpha for the 3 factors of .87 (factor 1), .90 (factor 2) and .82 (factor 3). The 3 factors were named (1) technology to bridge online and offline experiences, (2) technology to go outside one's identity or offline environment, and (3) technology for social connection. CONCLUSIONS:The resulting Adolescents' Digital Technology Interactions and Importance (ADTI) scale is a promising and psychometrically validated tool for identifying the importance of distinct technology interactions. The scale is informed by relevant theory and expert input. The 3 subscales have utility for future studies to understand whether certain subscale score ranges are associated with health or well-being outcomes.

Project description:BACKGROUND:Brief screening instruments focusing on autism spectrum disorder (ASD) that can be administered in primary care are scarce; there is a need for shorter and more precise instruments. The Autism-Tics, AD/HD and other Comorbidities inventory (A-TAC) has previously been validated for ASD reporting excellent validity. This study aims to determine the psychometric properties of each item in the ASD domain (17 items) in the A-TAC using item response theory (IRT), and thereby construct and validate a short form that could be used as a screening instrument in the general population. METHODS:Since 2004, parents of all 9-year-old Swedish twins have been invited to participate in a telephone interview in the Child and Adolescent Twin Study in Sweden (CATSS). The CATSS is linked to the National Patient Register (NPR), which includes data from in- and outpatient care. Data on ASD (A-TAC) collected in CATSS were compared with diagnoses from the NPR. Diagnoses that had been made both before (previous validity) and after (predictive validity) the interviews were included. The sample was divided into a developmental sample and a validation sample. An IRT model was fitted to the developmental sample and item parameters were used to select a subset of items for the short form. The performance of the proposed short form was examined in the validation sample by the use of receiver operation characteristic curves. RESULTS:Four items which were able to discriminate among individuals with more autism traits were deemed sufficient for use in the short form. The values of the area under the receiver operating characteristic curve for a clinical diagnosis of ASD was .95 (previous validity) and .72 (predictive validity). CONCLUSIONS:The proposed short form with 4 out of the original 17 items from A-TAC, showed excellent previous validity while the predictive validity was fair. The validity of the short form was in agreement with previous validations of the full ASD domain. The short form can be a valuable screening instrument in primary care settings in order to identify individuals in need for further assessment and for use in epidemiological studies.

Dataset Information

Measuring Senior Technology Acceptance: Development of a Brief, 14-Item Scale.

Publications

Measuring Senior Technology Acceptance: Development of a Brief, 14-Item Scale.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets