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Wells, Kevin Eugene; Morgan, Grant; Worrell, Frank C.; Sumnall, Harry; McKay, Michael Thomas – International Journal of Behavioral Development, 2018
The goal of the present study is to examine the stability of time attitudes profiles across a one-year period as well as the association between time attitudes profiles and several variables. These variables include attitudes towards alcohol, context of alcohol use, consumption of a full drink, and subjective life expectancy. We assessed the…
Descriptors: Time, Attitude Measures, Drinking, Context Effect
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Kilgus, Stephen P.; Chafouleas, Sandra M.; Riley-Tillman, T. Chris – School Psychology Quarterly, 2013
The purpose of the current investigation was to develop and provide initial validation of the "Social and Academic Behavior Risk Screener" (SABRS). Research was conducted in southeast elementary schools with 54 teacher and 243 student participants. An initial item pool was created through review of developmental research on the…
Descriptors: Screening Tests, At Risk Students, Elementary School Students, Behavior Problems
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Tieso, Carol L.; Hutcheson, Virginia H. – Planning and Changing, 2014
The authors of this article review the development and discuss potential uses for a new instrument that evolved from follow-up research conducted after completion of a five-year study of innovative curricular and instructional practices. The instrument is A Stakeholder's Perceptions of Innovative Reform Efforts (ASPIRE). The primary purpose of…
Descriptors: Probability, Educational Change, Success, Teacher Surveys
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Baker, Thomas A., III.; Byon, Kevin K. – Measurement in Physical Education and Exercise Science, 2014
A scale was developed to measure perceptions of sexual abuse in youth sports by assessing (a) the perceived prevalence of sexual abuse committed by pedophilic youth sport coaches, (b) the perceived likelihood that a coach is a pedophile, (c) perceptions on how youth sport organizations should manage the risk of pedophilia, and (d) media influence…
Descriptors: Sexual Abuse, Test Construction, Attitude Measures, Incidence
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Tseng, Mei-Hui; Fu, Chung-Pei; Wilson, Brenda N.; Hu, Fu-Chang – Research in Developmental Disabilities: A Multidisciplinary Journal, 2010
The aim of this study was to adapt and evaluate the Developmental Coordination Disorder Questionnaire (DCDQ) for use in Chinese-speaking countries. A total of 1082 parents completed the DCDQ and 35 parents repeated it after 2 weeks for test-retest reliability. Two items were deleted after examination of test consistency. Cronbach's [alpha] for the…
Descriptors: Test Validity, Measures (Individuals), Psychometrics, Probability
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Tsang, Kwan Lan; Bond, Trevor; Lo, Sing Kai – International Journal of Disability, Development and Education, 2010
Using Rasch analysis, the psychometric properties of a newly developed 35-item parent-proxy instrument, the Caregiver Assessment of Movement Participation (CAMP), designed to measure movement participation problems in children with Developmental Coordination Disorder, were examined. The CAMP was administered to 465 school children aged 5-10 years.…
Descriptors: Children, Disabilities, Psychomotor Skills, Identification
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Weber, Margaret B. – Educational and Psychological Measurement, 1977
Bilevel dimensionality of probability was examined via factor analysis, Rasch latent trait analysis, and classical item analysis. Results suggest that when nonstandardized measures are the criteria for achievement, relying solely on estimates of content validity may lead to erroneous interpretation of test score data. (JKS)
Descriptors: Achievement, Achievement Tests, Factor Analysis, Item Analysis
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Aiken, Lewis R. – Educational and Psychological Measurement, 1985
Three numerical coefficients for analyzing the validity and reliability of ratings are described. Each coefficient is computed as the ratio of an obtained to a maximum sum of differences in ratings. The coefficients are also applicable to the item analysis, agreement analysis, and cluster or factor analysis of rating-scale data. (Author/BW)
Descriptors: Computer Software, Data Analysis, Factor Analysis, Item Analysis