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Cognitive and motivational profile shape predicts mathematical skills over and above profile level
The interpretation of subtest profiles from intelligence testing remains popular among many practitioners who use subtest performance to draw diagnostic conclusions, in spite of criticism by some researchers, who point to the low reliability and predictive validity of subtest scores in predicting ac...
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Published in: | Psychology in the schools 2013-01, Vol.50 (1), p.37-56 |
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container_title | Psychology in the schools |
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creator | Reimann, Giselle Stoecklin, Markus Lavallee, Kristen Gut, Janine Frischknecht, Marie-Claire Grob, Alexander |
description | The interpretation of subtest profiles from intelligence testing remains popular among many practitioners who use subtest performance to draw diagnostic conclusions, in spite of criticism by some researchers, who point to the low reliability and predictive validity of subtest scores in predicting achievement outcomes. Prior research outlines two approaches to the study of subtest variation: the examination of interindividual variation in specific cognitive domains or subtests as compared to a standard sample, and the examination of intraindividual strengths and weaknesses, regardless of overall level. The present study seeks to add to knowledge in this field with data from 567 children ages 5 to 10 years who exhibit meaningful subtest variation on a new test of intellectual abilities. Results from the present sample point to statistically significant utility, with small to medium effects, of intraindividual cognitive and motivational profile shape over and above profile level in predicting mathematical skills. We discuss implications for school psychological and educational assessment research. |
doi_str_mv | 10.1002/pits.21659 |
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Schs</addtitle><description>The interpretation of subtest profiles from intelligence testing remains popular among many practitioners who use subtest performance to draw diagnostic conclusions, in spite of criticism by some researchers, who point to the low reliability and predictive validity of subtest scores in predicting achievement outcomes. Prior research outlines two approaches to the study of subtest variation: the examination of interindividual variation in specific cognitive domains or subtests as compared to a standard sample, and the examination of intraindividual strengths and weaknesses, regardless of overall level. The present study seeks to add to knowledge in this field with data from 567 children ages 5 to 10 years who exhibit meaningful subtest variation on a new test of intellectual abilities. 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Psychology</subject><subject>Individual Differences</subject><subject>Intellectual ability</subject><subject>Intelligence</subject><subject>Intelligence Tests</subject><subject>Learning Motivation</subject><subject>Mathematics Skills</subject><subject>Predictive Validity</subject><subject>Profiles</subject><subject>Psychological assessment</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Pupil and student. 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Psychology</topic><topic>Individual Differences</topic><topic>Intellectual ability</topic><topic>Intelligence</topic><topic>Intelligence Tests</topic><topic>Learning Motivation</topic><topic>Mathematics Skills</topic><topic>Predictive Validity</topic><topic>Profiles</topic><topic>Psychological assessment</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Pupil and student. Academic achievement and failure</topic><topic>Reliability</topic><topic>School Psychology</topic><topic>Statistical Analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Reimann, Giselle</creatorcontrib><creatorcontrib>Stoecklin, Markus</creatorcontrib><creatorcontrib>Lavallee, Kristen</creatorcontrib><creatorcontrib>Gut, Janine</creatorcontrib><creatorcontrib>Frischknecht, Marie-Claire</creatorcontrib><creatorcontrib>Grob, Alexander</creatorcontrib><collection>Istex</collection><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><jtitle>Psychology in the schools</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Reimann, Giselle</au><au>Stoecklin, Markus</au><au>Lavallee, Kristen</au><au>Gut, Janine</au><au>Frischknecht, Marie-Claire</au><au>Grob, Alexander</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ998336</ericid><atitle>Cognitive and motivational profile shape predicts mathematical skills over and above profile level</atitle><jtitle>Psychology in the schools</jtitle><addtitle>Psychol. 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subjects | Academic Achievement Biological and medical sciences Children Criticism Educational Assessment Educational psychology Educational Research Fundamental and applied biological sciences. Psychology Individual Differences Intellectual ability Intelligence Intelligence Tests Learning Motivation Mathematics Skills Predictive Validity Profiles Psychological assessment Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Pupil and student. Academic achievement and failure Reliability School Psychology Statistical Analysis |
title | Cognitive and motivational profile shape predicts mathematical skills over and above profile level |
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