The Subjective Technology Adaptivity Inventory (STAI): A motivational measure of technology usage in old age

Our research explores inter-individual differences related to perceived personal adaptivity in technological environments among older adults. In two separate studies, we report findings based on the Subjective Technology Adaptivity Inventory (STAI) – a measure of inter-individual differences in the motivation to use technology. The first study involved an online sample of 1,482 participants between 60 and 91 years of age (M=68.4, SD=5.7) and investigated the psychometric quality of the measurement model. The second study was based on a paper-and-pencil sample of 163 participants between 58 and 87 years of age (M=68.6, SD=6.0) and examined the predictive validity of the instrument. The results support the psychometric quality of the instrument and its ability to predict the perceived competence to use technology and the actual usage of modern technology among older adults. Practical applications of the instrument and directions for future research are discussed.

[1]  Gordon W. Cheung,et al.  Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance , 2002 .

[2]  Deborah Compeau,et al.  Application of Social Cognitive Theory to Training for Computer Skills , 1995, Inf. Syst. Res..

[3]  Sari Kujala,et al.  User involvement: A review of the benefits and challenges , 2003, Behav. Inf. Technol..

[4]  R. Schulz,et al.  A life span model of successful aging. , 1996, The American psychologist.

[5]  Richard Schulz,et al.  A motivational theory of life-span development. , 2010, Psychological review.

[6]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[7]  P. Baltes,et al.  Selective optimization with compensation: Life-span perspectives on successful human development , 1995 .

[8]  Clarice P. Gressard,et al.  Reliability and Factorial Validity of Computer Attitude Scales , 1984 .

[9]  M. Powell Lawton,et al.  Ecology and the aging process. , 1973 .

[10]  R. Heinssen,et al.  Assessing computer anxiety: Development and validation of the Computer Anxiety Rating Scale , 1987 .

[11]  Shu-Chen Li,et al.  Psychological Principles of Successful Aging Technologies: A Mini-Review , 2008, Gerontology.

[12]  S. West,et al.  Teacher's Corner: Testing Measurement Invariance of Second-Order Factor Models , 2005 .

[13]  A. Chan,et al.  A review of technology acceptance by older adults , 2011 .

[14]  Neil Charness,et al.  Impact of technology on successful aging , 2003 .

[15]  C. Oppenauer Motivation and needs for technology use in old age , 2009 .

[16]  Arthur D. Fisk,et al.  Designing for Older Adults: Principles and Creative Human Factors Approaches , 2004 .

[17]  Martina Ziefle,et al.  Understanding age differences in PDA acceptance and performance , 2007, Comput. Hum. Behav..

[18]  Don G. Bouwhuis,et al.  Models for the acceptance of tele-care solutions: Intention vs behaviour , 2012 .

[19]  Alexandra M Freund,et al.  Life-management strategies of selection, optimization, and compensation: measurement by self-report and construct validity. , 2002, Journal of personality and social psychology.

[20]  J. Gustafsson,et al.  General and Specific Abilities as Predictors of School Achievement. , 1993, Multivariate behavioral research.

[21]  D. Bouwhuis,et al.  When do older adults consider the Internet? An exploratory study of benefit perception , 2004 .

[22]  D. Bouwhuis,et al.  Older adults' motivated choice for technological innovation: evidence for benefit-driven selectivity. , 2006, Psychology and aging.

[23]  G. A. Marcoulides,et al.  The Relationship between Computer Anxiety and Computer Achievement , 1988 .

[24]  Paul B. Baltes,et al.  Successful aging: Perspectives from the behavioral sciences , 1990 .

[25]  G. A. Marcoulides,et al.  Measuring Computer Anxiety: The Computer Anxiety Scale , 1989 .

[26]  A. D. Fisk,et al.  Toward a psychological science of advanced technology design for older adults. , 2010, The journals of gerontology. Series B, Psychological sciences and social sciences.

[27]  K. Fingerman Handbook of Life-Span Development , 2010 .

[28]  F. Chen Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance , 2007 .

[29]  M. Brosnan Modeling technophobia: a case for word processing , 1999 .

[30]  M. Powell Lawton,et al.  The psychology of adult development and aging , 1973 .

[31]  N. Charness,et al.  Factors Predicting the Use of Technology: Findings From the Center for Research and Education on Aging and Technology Enhancement (CREATE) , 2006 .

[32]  Jonathan Grudin,et al.  Systematic Sources of Suboptimal Interface Design in Large Product Development Organizations , 1991, Hum. Comput. Interact..