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Agley, Jon; Tidd, David; Jun, Mikyoung; Eldridge, Lori; Xiao, Yunyu; Sussman, Steve; Jayawardene, Wasantha; Agley, Daniel; Gassman, Ruth; Dickinson, Stephanie L. – Educational and Psychological Measurement, 2021
Prospective longitudinal data collection is an important way for researchers and evaluators to assess change. In school-based settings, for low-risk and/or likely-beneficial interventions or surveys, data quality and ethical standards are both arguably stronger when using a waiver of parental consent--but doing so often requires the use of…
Descriptors: Data Analysis, Longitudinal Studies, Data Collection, Intervention
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Jia, Yuane; Konold, Timothy R.; Cornell, Dewey; Huang, Francis – Educational and Psychological Measurement, 2018
Self-report surveys are widely used to measure adolescent risk behavior and academic adjustment, with results having an impact on national policy, assessment of school quality, and evaluation of school interventions. However, data obtained from self-reports can be distorted when adolescents intentionally provide inaccurate or careless responses.…
Descriptors: Surveys, Self Disclosure (Individuals), Adolescents, High School Students
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Pomplun, Mark R. – Educational and Psychological Measurement, 2009
This study investigated convergent validity evidence for student growth scores with high school course grades. The Measures of Academic Progress and Educational Planning and Assessment System growth scores for approximately 1,800 ninth-grade students over 2 years were related to language, arts, and mathematics course grades for developmental,…
Descriptors: Honors Curriculum, Grades (Scholastic), Academic Achievement, Validity
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Martin, Andrew J.; Marsh, Herbert W.; Debus, Raymond L.; Malmberg, Lars-Erik – Educational and Psychological Measurement, 2008
This investigation assesses performance and mastery orientation from a Rasch perspective among high school and university students and provides a complementary approach to the factor analytic methods typical in goal theory research. Data shows that both school and university students are high in mastery orientation relative to performance…
Descriptors: Academic Achievement, Psychometrics, College Students, High School Students
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Green-Demers, Isabelle; Legault, Lisa; Pelletier, Daniel; Pelletier, Luc G. – Educational and Psychological Measurement, 2008
Motivation deficits are common in high school and constitute a significant problem for both students and teachers. The Academic Amotivation Inventory (AAI) was developed to measure the multidimensional nature of the academic amotivation construct (Legault, Green-Demers, & Pelletier, 2006). The present project further examined the consistency…
Descriptors: Factor Structure, Psychometrics, High School Students, Student Motivation
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Ang, Rebecca P.; Huan, Vivien S. – Educational and Psychological Measurement, 2006
This article describes the development and initial validation of obtained scores from the Academic Expectations Stress Inventory (AESI), which measures expectations as a source of academic stress in middle and high school Asian students. In the first study, exploratory factor analysis results from 721 adolescents suggested a nine-item scale with…
Descriptors: Adolescents, Factor Analysis, Factor Structure, Test Validity
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Dalton, Starrette – Educational and Psychological Measurement, 1974
Descriptors: Academic Achievement, College Admission, High School Students, Minority Groups
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Mandryk, Thomas R.; Schuerger, James M. – Educational and Psychological Measurement, 1974
Descriptors: Academic Achievement, Grades (Scholastic), High School Students, Multiple Regression Analysis
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Thames, John A.; And Others – Educational and Psychological Measurement, 1973
Descriptors: Academic Achievement, Academic Aptitude, Attitude Measures, Females
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Siegelman, Marvin – Educational and Psychological Measurement, 1971
Descriptors: Academic Achievement, College Admission, College Entrance Examinations, College Students
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Kim, Junghee; Michael, William B. – Educational and Psychological Measurement, 1995
For 92 male and 101 female Korean 11th graders, creativity as measured by the Torrance Tests of Creativity, showed little relationship to school performance. Females tended to be more creative than males, but, irrespective of gender, students with right-brain associated thinking and learning style earned high creativity scores. (SLD)
Descriptors: Academic Achievement, Brain Hemisphere Functions, Cognitive Style, Creativity
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Wolfe, Raymond N.; Johnson, Scott D. – Educational and Psychological Measurement, 1995
Total Scholastic Aptitude Test score (SAT), average grade in high school, and 32 personality variables were examined through forward multiple regression to identify the best combination for predicting grade point average for 201 college students. Average grade in high school ranked first, followed by self-control and SAT score. (SLD)
Descriptors: Academic Achievement, College Entrance Examinations, College Students, Grade Point Average
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Powers, Stephen; And Others – Educational and Psychological Measurement, 1985
The Multidimensional-Multiattributional Causality Scale and the Mathematics Attribution Scale were administered to 107 gifted high school students. Both scales' assessments of the attribution of school success and failure to effort and ability were significantly correlated. Limited support for their convergent validity was indicated. (Author/GDC)
Descriptors: Academic Achievement, Academically Gifted, Attitude Measures, Attribution Theory
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Ogunlade, James O. – Educational and Psychological Measurement, 1978
The scores of 537 14-year-old students in Nigeria on the Raven Progressive Matrices were correlated with their scores on an achievement test, to provide an estimate of the predictive validity of the Raven. Results indicated low validity for this usage. (Author/JKS)
Descriptors: Academic Achievement, Aptitude Tests, Foreign Countries, High School Students
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Gable, Robert K.; And Others – Educational and Psychological Measurement, 1977
Social studies grades were predicted from a variety of affective and cognitive predictor variables on a sample of eleventh grade students. Significant relationships were found for both types of variables. A measure of motivation toward education predicted grades nearly as accurately as any of the cognitive variables. (Author/JKS)
Descriptors: Academic Achievement, Affective Behavior, Cognitive Ability, Grade Prediction
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