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Costa, Sebastiano; Ingoglia, Sonia; Inguglia, Cristiano; Liga, Francesca; Lo Coco, Alida; Larcan, Rosalba – Measurement and Evaluation in Counseling and Development, 2018
The purpose of this multistudy report was to adapt the Basic Psychological Need Satisfaction and Frustration Scale (BPNSFS) to the Italian context. Two studies were conducted. In Study 1, we investigated the dimensionality, reliability, and convergent and discriminant validity of the instrument in a sample of 544 participants (males = 41%) from 16…
Descriptors: Psychological Needs, Psychometrics, Need Gratification, Gender Differences
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Laghi, Fiorenzo; Lonigro, Antonia; Levanto, Simona; Ferraro, Maurizio; Baumgartner, Emma; Baiocco, Roberto – Measurement and Evaluation in Counseling and Development, 2016
The study aimed at verifying if nice and nasty theory of mind behaviors, in association with teachers' peer buddy nomination, could be used to correctly select peer models for adolescents with autism spectrum disorder. Mentalizing abilities and emotional and behavioral characteristics of 601 adolescents were assessed. Results suggest that teachers…
Descriptors: Peer Influence, Theory of Mind, Behavior Problems, Child Behavior
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Kooken, Janice; Welsh, Megan E.; McCoach, D. Betsy; Johnston-Wilder, Sue; Lee, Clare – Measurement and Evaluation in Counseling and Development, 2016
The Mathematical Resilience Scale measures students' attitudes toward studying mathematics, using three correlated factors: Value, Struggle, and Growth. The Mathematical Resilience Scale was developed and validated using exploratory and confirmatory factor analyses across three samples. Results provide a new approach to gauge the likelihood of…
Descriptors: Mathematics, Mathematics Instruction, Student Attitudes, Thinking Skills
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Thompson, Bruce – Measurement and Evaluation in Counseling and Development, 1991
Explains basic logic of canonical analysis, illustrates that canonical analysis is general parametric analytic method subsuming other methods, and offers guidelines regarding use of this analytic approach. Concludes that canonical analysis is potent because it does not require researcher to discard variance of any variables and because it honors…
Descriptors: Data Analysis, Multivariate Analysis, Research Methodology, Statistical Analysis