Individual Differences in Addition Strategy Choice: A Psychometric Evaluation
The strategy choice model (SCM) is a highly influential theory of human problem-solving. One strength of this theory is the allowance for both item and person variance to contribute to problem-solving outcomes, but this central tenet of the model has not been empirically tested. Explanatory item res...
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Veröffentlicht in: | Journal of educational psychology 2019-04, Vol.111 (3), p.414-433 |
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description | The strategy choice model (SCM) is a highly influential theory of human problem-solving. One strength of this theory is the allowance for both item and person variance to contribute to problem-solving outcomes, but this central tenet of the model has not been empirically tested. Explanatory item response theory (EIRT) provides an ideal approach to testing this core feature of SCM, as it allows for simultaneous estimation of both item and person effects on problem-solving outcomes. We used EIRT to test and confirm this central tenet of the SCM for adolescents' (n = 376) solving of addition problems. The approach also allowed us to identify the strategy choices of adolescents who still struggle with basic arithmetic. The synthesis of SCM theory and EIRT modeling has implications for more fully investigating the sources of individual differences in students' problem solving, and for identifying problem-solving patterns associated with poor academic achievement.
Educational Impact and Implications Statement
Strategy usage may be an important avenue for the identification and treatment of mathematics difficulties. The current study examined individual differences in strategic problem-solving behavior with a sample of adolescent problem-solvers. Results indicate that even in adolescence there are meaningful individual differences in how students solve addition problems, including some adolescents who continue to rely on immature counting strategies. Those adolescents who still relied on immature counting strategies were also struggling with broad mathematical achievement. These struggling students can be identified with a brief addition strategy assessment, and our results suggest that they may benefit from mastering more developmentally mature strategies. For students with mathematical difficulties, simply advancing to developmentally mature strategy selection may be an important intervention goal, one which is often overlooked in educational settings. |
doi_str_mv | 10.1037/edu0000294 |
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Educational Impact and Implications Statement
Strategy usage may be an important avenue for the identification and treatment of mathematics difficulties. The current study examined individual differences in strategic problem-solving behavior with a sample of adolescent problem-solvers. Results indicate that even in adolescence there are meaningful individual differences in how students solve addition problems, including some adolescents who continue to rely on immature counting strategies. Those adolescents who still relied on immature counting strategies were also struggling with broad mathematical achievement. These struggling students can be identified with a brief addition strategy assessment, and our results suggest that they may benefit from mastering more developmentally mature strategies. For students with mathematical difficulties, simply advancing to developmentally mature strategy selection may be an important intervention goal, one which is often overlooked in educational settings.</description><identifier>ISSN: 0022-0663</identifier><identifier>EISSN: 1939-2176</identifier><identifier>DOI: 10.1037/edu0000294</identifier><identifier>PMID: 39211772</identifier><language>eng</language><publisher>United States: American Psychological Association</publisher><subject>Academic Achievement ; Accuracy ; Addition ; Adolescent Development ; Adolescents ; Arithmetic ; Choice Behavior ; Cognition ; Educational psychology ; Estimating techniques ; Estimation ; Female ; Human ; Individual Differences ; Item Response Theory ; Learning Problems ; Learning Strategies ; Male ; Mathematics ; Mathematics Instruction ; Problem Solving ; Psychometrics ; Quantitative psychology ; Responses ; Strategies ; Time</subject><ispartof>Journal of educational psychology, 2019-04, Vol.111 (3), p.414-433</ispartof><rights>2018 American Psychological Association</rights><rights>2018, American Psychological Association</rights><rights>Copyright American Psychological Association Apr 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a494t-9873bfee81763508afc5db8a4fa1462e96f15e0423aa351ad4f2b40c3c023eb53</citedby><orcidid>0000-0003-3689-0669 ; 0000-0003-0389-5121</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1334400$$DView record in ERIC$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39211772$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Graham, Steve</contributor><creatorcontrib>Rhodes, Katherine T</creatorcontrib><creatorcontrib>Lukowski, Sarah</creatorcontrib><creatorcontrib>Branum-Martin, Lee</creatorcontrib><creatorcontrib>Opfer, John</creatorcontrib><creatorcontrib>Geary, David C</creatorcontrib><creatorcontrib>Petrill, Stephen A</creatorcontrib><title>Individual Differences in Addition Strategy Choice: A Psychometric Evaluation</title><title>Journal of educational psychology</title><addtitle>J Educ Psychol</addtitle><description>The strategy choice model (SCM) is a highly influential theory of human problem-solving. One strength of this theory is the allowance for both item and person variance to contribute to problem-solving outcomes, but this central tenet of the model has not been empirically tested. Explanatory item response theory (EIRT) provides an ideal approach to testing this core feature of SCM, as it allows for simultaneous estimation of both item and person effects on problem-solving outcomes. We used EIRT to test and confirm this central tenet of the SCM for adolescents' (n = 376) solving of addition problems. The approach also allowed us to identify the strategy choices of adolescents who still struggle with basic arithmetic. The synthesis of SCM theory and EIRT modeling has implications for more fully investigating the sources of individual differences in students' problem solving, and for identifying problem-solving patterns associated with poor academic achievement.
Educational Impact and Implications Statement
Strategy usage may be an important avenue for the identification and treatment of mathematics difficulties. The current study examined individual differences in strategic problem-solving behavior with a sample of adolescent problem-solvers. Results indicate that even in adolescence there are meaningful individual differences in how students solve addition problems, including some adolescents who continue to rely on immature counting strategies. Those adolescents who still relied on immature counting strategies were also struggling with broad mathematical achievement. These struggling students can be identified with a brief addition strategy assessment, and our results suggest that they may benefit from mastering more developmentally mature strategies. For students with mathematical difficulties, simply advancing to developmentally mature strategy selection may be an important intervention goal, one which is often overlooked in educational settings.</description><subject>Academic Achievement</subject><subject>Accuracy</subject><subject>Addition</subject><subject>Adolescent Development</subject><subject>Adolescents</subject><subject>Arithmetic</subject><subject>Choice Behavior</subject><subject>Cognition</subject><subject>Educational psychology</subject><subject>Estimating techniques</subject><subject>Estimation</subject><subject>Female</subject><subject>Human</subject><subject>Individual Differences</subject><subject>Item Response Theory</subject><subject>Learning Problems</subject><subject>Learning Strategies</subject><subject>Male</subject><subject>Mathematics</subject><subject>Mathematics Instruction</subject><subject>Problem Solving</subject><subject>Psychometrics</subject><subject>Quantitative psychology</subject><subject>Responses</subject><subject>Strategies</subject><subject>Time</subject><issn>0022-0663</issn><issn>1939-2176</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kUuP0zAQgC0EYruFC3dQJC4IEfAric0FVd0CixaBBJytiTPeepXGXTup1H-Pqy7lccAXy55P8_oIecLoa0ZF8wa7iebDtbxHZkwLXXLW1PfJLP_xkta1OCPnKd1kRuTHQ3ImNGesafiMfL4cOr_z3QR9ceGdw4iDxVT4oVh0nR99GIpvY4QRr_fFch28xbfFovia9nYdNjhGb4vVDvoJDugj8sBBn_Dx3T0nP96vvi8_lldfPlwuF1clSC3HUqtGtA5R5TZFRRU4W3WtAumAyZqjrh2rkEouAETFoJOOt5JaYSkX2FZiTt4d826ndoOdxSG32Jtt9BuIexPAm78jg1-b67AzjImaciZzhhd3GWK4nTCNZuOTxb6HAcOUjKBaKypZLjgnz_9Bb8IUhzyf4Vyoiteqav5LMcaVrpVSmXp5pGwMKUV0p54ZNQeZ5rfMDD_7c8oT-steBp4eAcwaTuHVJyaElFn2nLw6xmELZpuVQRy97THZKWbP46FYXgkzwsi8k59G37I6</recordid><startdate>20190401</startdate><enddate>20190401</enddate><creator>Rhodes, Katherine T</creator><creator>Lukowski, Sarah</creator><creator>Branum-Martin, Lee</creator><creator>Opfer, John</creator><creator>Geary, David C</creator><creator>Petrill, Stephen A</creator><general>American Psychological Association</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7RZ</scope><scope>PSYQQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3689-0669</orcidid><orcidid>https://orcid.org/0000-0003-0389-5121</orcidid></search><sort><creationdate>20190401</creationdate><title>Individual Differences in Addition Strategy Choice: A Psychometric Evaluation</title><author>Rhodes, Katherine T ; Lukowski, Sarah ; Branum-Martin, Lee ; Opfer, John ; Geary, David C ; Petrill, Stephen A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a494t-9873bfee81763508afc5db8a4fa1462e96f15e0423aa351ad4f2b40c3c023eb53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Academic Achievement</topic><topic>Accuracy</topic><topic>Addition</topic><topic>Adolescent Development</topic><topic>Adolescents</topic><topic>Arithmetic</topic><topic>Choice Behavior</topic><topic>Cognition</topic><topic>Educational psychology</topic><topic>Estimating techniques</topic><topic>Estimation</topic><topic>Female</topic><topic>Human</topic><topic>Individual Differences</topic><topic>Item Response Theory</topic><topic>Learning Problems</topic><topic>Learning Strategies</topic><topic>Male</topic><topic>Mathematics</topic><topic>Mathematics Instruction</topic><topic>Problem Solving</topic><topic>Psychometrics</topic><topic>Quantitative psychology</topic><topic>Responses</topic><topic>Strategies</topic><topic>Time</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rhodes, Katherine T</creatorcontrib><creatorcontrib>Lukowski, Sarah</creatorcontrib><creatorcontrib>Branum-Martin, Lee</creatorcontrib><creatorcontrib>Opfer, John</creatorcontrib><creatorcontrib>Geary, David C</creatorcontrib><creatorcontrib>Petrill, Stephen A</creatorcontrib><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>PubMed</collection><collection>CrossRef</collection><collection>APA PsycArticles®</collection><collection>ProQuest One Psychology</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of educational psychology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rhodes, Katherine T</au><au>Lukowski, Sarah</au><au>Branum-Martin, Lee</au><au>Opfer, John</au><au>Geary, David C</au><au>Petrill, Stephen A</au><au>Graham, Steve</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1334400</ericid><atitle>Individual Differences in Addition Strategy Choice: A Psychometric Evaluation</atitle><jtitle>Journal of educational psychology</jtitle><addtitle>J Educ Psychol</addtitle><date>2019-04-01</date><risdate>2019</risdate><volume>111</volume><issue>3</issue><spage>414</spage><epage>433</epage><pages>414-433</pages><issn>0022-0663</issn><eissn>1939-2176</eissn><abstract>The strategy choice model (SCM) is a highly influential theory of human problem-solving. One strength of this theory is the allowance for both item and person variance to contribute to problem-solving outcomes, but this central tenet of the model has not been empirically tested. Explanatory item response theory (EIRT) provides an ideal approach to testing this core feature of SCM, as it allows for simultaneous estimation of both item and person effects on problem-solving outcomes. We used EIRT to test and confirm this central tenet of the SCM for adolescents' (n = 376) solving of addition problems. The approach also allowed us to identify the strategy choices of adolescents who still struggle with basic arithmetic. The synthesis of SCM theory and EIRT modeling has implications for more fully investigating the sources of individual differences in students' problem solving, and for identifying problem-solving patterns associated with poor academic achievement.
Educational Impact and Implications Statement
Strategy usage may be an important avenue for the identification and treatment of mathematics difficulties. The current study examined individual differences in strategic problem-solving behavior with a sample of adolescent problem-solvers. Results indicate that even in adolescence there are meaningful individual differences in how students solve addition problems, including some adolescents who continue to rely on immature counting strategies. Those adolescents who still relied on immature counting strategies were also struggling with broad mathematical achievement. These struggling students can be identified with a brief addition strategy assessment, and our results suggest that they may benefit from mastering more developmentally mature strategies. For students with mathematical difficulties, simply advancing to developmentally mature strategy selection may be an important intervention goal, one which is often overlooked in educational settings.</abstract><cop>United States</cop><pub>American Psychological Association</pub><pmid>39211772</pmid><doi>10.1037/edu0000294</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0003-3689-0669</orcidid><orcidid>https://orcid.org/0000-0003-0389-5121</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Academic Achievement Accuracy Addition Adolescent Development Adolescents Arithmetic Choice Behavior Cognition Educational psychology Estimating techniques Estimation Female Human Individual Differences Item Response Theory Learning Problems Learning Strategies Male Mathematics Mathematics Instruction Problem Solving Psychometrics Quantitative psychology Responses Strategies Time |
title | Individual Differences in Addition Strategy Choice: A Psychometric Evaluation |
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