{"id":{"repo_id":"lsu-thes","oai_identifier":"oai:repository.lsu.edu:gradschool_dissertations-1457"},"canonical_url":"https://search.dev.ndltd.org/etd/lsu-thes/oai:repository.lsu.edu:gradschool_dissertations-1457","repository":{"repo_id":"lsu-thes","name":"Lousiana State University","base_url":"https://repository.lsu.edu/do/oai/"},"display":{"title":"Developmental Math Education: The Bermuda Triangle of Student Success--Many Enter, but Few Succeed.","abstract":"This study employed a quantitative design to evaluate the effectiveness of developmental math and the predictors of student success in developmental math for a period of three years. Four of the study’s original eight predictors of student success were statistically significant. However, a model was created using multinomial regression. The model was created using data from the fall 2013 semester and was tested using data from the fall 2014 semester. The effectiveness of developmental math in predicting a student’s success in the first college-level math course was tested using a multinomial regression. Although no statistical significance was found, the study did show that students who completed developmental math prior to enrolling in a college-level math course were more likely to earn passing grades. Implications for community college policy, practice, and future research are presented.","abstract_html":"This study employed a quantitative design to evaluate the effectiveness of developmental math and the predictors of student success in developmental math for a period of three years. Four of the study’s original eight predictors of student success were statistically significant. However, a model was created using multinomial regression. The model was created using data from the fall 2013 semester and was tested using data from the fall 2014 semester. The effectiveness of developmental math in predicting a student’s success in the first college-level math course was tested using a multinomial regression. Although no statistical significance was found, the study did show that students who completed developmental math prior to enrolling in a college-level math course were more likely to earn passing grades. Implications for community college policy, practice, and future research are presented.","abstract_has_math":false,"creators":["Sullivan, Julia Elizabeth Paxton"],"institution":"Education","degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation","degree_discipline":"Education","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-01-01T08:00:00Z","date_published":"2016-01-01T08:00:00Z","updated_at":"2026-07-24T02:57:39Z","subjects":["developmental math education","community college"],"languages":[],"rights":["unrestricted","Release the entire work immediately for access worldwide."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["etd-08042016-163916","https://repository.lsu.edu/gradschool_dissertations/458"],"render_values":[{"text":"etd-08042016-163916","href":null,"code":true},{"text":"https://repository.lsu.edu/gradschool_dissertations/458","href":"https://repository.lsu.edu/gradschool_dissertations/458","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.31390/gradschool_dissertations.458","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Sullivan, Julia Elizabeth Paxton"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2016-07-22"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2022-05-12T23:08:53Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Education"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy (PhD)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Education"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["developmental math education","community college"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["unrestricted","Release the entire work immediately for access worldwide."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["etd-08042016-163916","10.31390/gradschool_dissertations.458","https://repository.lsu.edu/gradschool_dissertations/458"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This study employed a quantitative design to evaluate the effectiveness of developmental math and the predictors of student success in developmental math for a period of three years. Four of the study’s original eight predictors of student success were statistically significant. However, a model was created using multinomial regression. The model was created using data from the fall 2013 semester and was tested using data from the fall 2014 semester. The effectiveness of developmental math in predicting a student’s success in the first college-level math course was tested using a multinomial regression. Although no statistical significance was found, the study did show that students who completed developmental math prior to enrolling in a college-level math course were more likely to earn passing grades. Implications for community college policy, practice, and future research are presented."]},{"key":"dc:title","label":"Title","values":["Developmental Math Education: The Bermuda Triangle of Student Success--Many Enter, but Few Succeed."]}]}],"canonical_facts":{"dc:creator":["Sullivan, Julia Elizabeth Paxton"],"dc:date":["2016-07-22"],"dc:date.available":["2022-05-12T23:08:53Z"],"dc:description.abstract":["This study employed a quantitative design to evaluate the effectiveness of developmental math and the predictors of student success in developmental math for a period of three years. Four of the study’s original eight predictors of student success were statistically significant. However, a model was created using multinomial regression. The model was created using data from the fall 2013 semester and was tested using data from the fall 2014 semester. The effectiveness of developmental math in predicting a student’s success in the first college-level math course was tested using a multinomial regression. Although no statistical significance was found, the study did show that students who completed developmental math prior to enrolling in a college-level math course were more likely to earn passing grades. Implications for community college policy, practice, and future research are presented."],"dc:identifier":["etd-08042016-163916","10.31390/gradschool_dissertations.458","https://repository.lsu.edu/gradschool_dissertations/458"],"dc:rights":["unrestricted","Release the entire work immediately for access worldwide."],"dc:subject":["developmental math education","community college"],"dc:title":["Developmental Math Education: The Bermuda Triangle of Student Success--Many Enter, but Few Succeed."],"thesis:degree_discipline":["Education"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy (PhD)"],"thesis:institution_name":["Education"]},"updated_at":"2026-07-24T02:57:39Z"}