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Bontis, Nick; Richards, David; Serenko, Alexander – Learning Organization, 2011
Purpose: The purpose of this study is to propose and test a model designed to investigate the impact of job characteristics, employee satisfaction, and information sharing on two key indicators of quality service delivery, such as worker perceptions of their efficiency and customer focus. Design/methodology/approach: During the project, 9,060…
Descriptors: Knowledge Management, Employee Attitudes, Telecommunications, Job Satisfaction
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Geertshuis, Susan; Cooper-Thomas, Helena – Australian Journal of Adult Learning, 2011
This paper examines the extent of patients' health-related learning from a range of sources and aims to identify psycho-cognitive variables that predict learning. Using a survey design, we found that people higher in perceived health competence were lower in anxiety and took a more logical approach to decision making. Low perceived health…
Descriptors: Patients, Decision Making, Anxiety, Predictor Variables
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Lam, Tony C. M.; Kolic, Mary – Applied Psychological Measurement, 2008
Semantic incompatibility, an error in constructing measuring instruments for rating oneself, others, or objects, refers to the extent to which item wordings are incongruent with, and hence inappropriate for, scale labels and vice versa. This study examines the effects of semantic incompatibility on rating responses. Using a 2 x 2 factorial design…
Descriptors: Semantics, Rating Scales, Statistical Analysis, Academic Ability
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Shotick, Joyce; Stephens, Paul R. – Journal of Education for Business, 2006
In this article, the authors investigated the impact of evolving technology on gender disparity and the contradictions found in previous research relating to the computing gender gap to determine if certain computer software tasks are gender specific and if those skills represent a gender gap in technology. Based on the social cognitive theory and…
Descriptors: Self Efficacy, Computer Software, Epistemology, Gender Differences
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Benson, D. E.; Mekolichick, Jeanne – Education, 2007
While research has identified various personality and demographic characteristics that appear to be associated with a variety of activities related to the use of digital technologies (e.g., Biner, Dean & Mellinger, 1994; Biner, Summers, Dean, Bink, Anderson & Gelder, 1996; Black, 1992; Clark, 1993; Figueroa, 1992), little is known about how…
Descriptors: Undergraduate Students, Educational Technology, Educational Environment, Hypothesis Testing
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Russell, Craig J.; And Others – Applied Psychological Measurement, 1991
Analysis of hypothetical data with dependent responses demonstrates how information loss caused by the overt response scale has an unknown influence on effect sizes in moderated regression analysis. The number of scale steps measuring the dependent variable results in a form of systematic error that alters interaction effect sizes. (SLD)
Descriptors: Effect Size, Hypothesis Testing, Likert Scales, Mathematical Models
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Yang, Haiwen; Harlow, Steven; Maddux, Cleborne; Smaby, Marlowe – Counseling and Values, 2006
This study compared worldviews of Chinese international students who have been in the United States for 1 year or less, Chinese international students who have been in the United States for 4 years or more, and European American students. Worldview was assessed with the Scale to Assess Worldview (F. A. Ibrahim & H. Kahn, 1987). Results…
Descriptors: World Views, Foreign Students, Cross Cultural Studies, Chinese
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Maurer, Trent W.; Beasley, John J.; Long Dilworth, Jennie E.; Hall, Alice H.; Kropp, Jerri J.; Rouse-Arnett, Marlo; Taulbee, Janna C. – Journal of Family and Consumer Sciences, 2006
Student course evaluations were completed by 1,457 students in 43 Child and Family Development courses. The impact of six predictor variables (class meeting time, class size, expected grade, perceived fairness of grading procedures, pre-course interest in the subject, and post-course interest in the subject) on student ratings of instructors was…
Descriptors: Sciences, Predictor Variables, Grading, Consumer Science