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Zhang, Dake; Stecker, Pamela; Huckabee, Sloan; Miller, Rhonda – Journal of Learning Disabilities, 2016
Research has suggested that different strategies used when solving fraction problems are highly correlated with students' problem-solving accuracy. This study (a) utilized latent profile modeling to classify students into three different strategic developmental levels in solving fraction comparison problems and (b) accordingly provided…
Descriptors: Middle School Students, Fractions, Mathematics Achievement, Low Achievement
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Miciak, Jeremy; Fletcher, Jack M.; Stuebing, Karla K.; Vaughn, Sharon; Tolar, Tammy D. – School Psychology Quarterly, 2014
Few empirical investigations have evaluated learning disabilities (LD) identification methods based on a pattern of cognitive strengths and weaknesses (PSW). This study investigated the reliability and validity of two proposed PSW methods: the concordance/discordance method (C/DM) and cross battery assessment (XBA) method. Cognitive assessment…
Descriptors: Learning Disabilities, Disability Identification, Cognitive Measurement, Adolescents
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Heyne, Thomas; Bogner, Franz X. – World Journal of Education, 2013
Our study focused on an educational intervention designed to increase the self-esteem of low-achieving eighth graders. The intervention was a substance-specific life skills program built upon teacher-centered versus student-centered teaching methods. A cluster analysis identified four consumption groups prior to the intervention: A potentially…
Descriptors: Drug Abuse, Prevention, Self Esteem, Teaching Methods
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Heyne, Thomas; Bogner, Franz X. – Journal of Drug Education, 2009
Our study focused on strengthening the individual self-efficacy of low achieving 8th graders reducing drug-specific peer pressure through theoretical and practical training. The subject of the intervention was based on a substance-specific life skills program offering both teacher-centered and student-centered teaching approaches. A cluster…
Descriptors: Self Efficacy, Prevention, Intervention, Multivariate Analysis