{"id":{"repo_id":"wku-diss","oai_identifier":"oai:digitalcommons.wku.edu:theses-1166"},"canonical_url":"https://search.dev.ndltd.org/etd/wku-diss/oai:digitalcommons.wku.edu:theses-1166","repository":{"repo_id":"wku-diss","name":"Western Kentucky University","base_url":"https://digitalcommons.wku.edu/do/oai/"},"display":{"title":"Population Cross-Validity Estimation and Adjustment for Direct Range Restriction: A Monte Carlo Investigation of Procedural Sequences to Achieve Optimal Cross-Validity","abstract":"The current study employs Monte Carlo analyses to evaluate the effectiveness of various statistical procedures for determining specific values of interest within a population of 1,000,000 cases. Specifically, the proper procedures for addressing the opposing effects of direct range restriction and validity overestimation were assessed through a comparison of multiple correlation coefficients derived using various sequences of procedures in randomly drawn samples. A comparison of the average bias associated with these methods indicated that correction for range restriction prior to the application of a validity overestimation adjustment formula yielded the best estimate of population parameters over a number of conditions. Additionally, similar methods were employed to assess the effectiveness of the standard ΔR2F-test for determining, based on characteristics of the derivation sample, the comparative superiority of either optimally or unit weighted composites in future samples; this procedure was largely ineffective under the conditions employed in the current study.","abstract_html":"The current study employs Monte Carlo analyses to evaluate the effectiveness of various statistical procedures for determining specific values of interest within a population of 1,000,000 cases. Specifically, the proper procedures for addressing the opposing effects of direct range restriction and validity overestimation were assessed through a comparison of multiple correlation coefficients derived using various sequences of procedures in randomly drawn samples. A comparison of the average bias associated with these methods indicated that correction for range restriction prior to the application of a validity overestimation adjustment formula yielded the best estimate of population parameters over a number of conditions. Additionally, similar methods were employed to assess the effectiveness of the standard ΔR2F-test for determining, based on characteristics of the derivation sample, the comparative superiority of either optimally or unit weighted composites in future samples; this procedure was largely ineffective under the conditions employed in the current study.","abstract_has_math":false,"creators":["Goins, David Matthew"],"institution":null,"degree_name":"Master of Arts","degree_level":null,"degree_discipline":"Department of Psychology","degree_department":null,"school":null,"contributors":["Dr. Reagan Brown (Director), Dr. Elizabeth Shoenfelt, Dr. Anthony Paquin"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2010,"date_issued":"2010-05-01T07:00:00Z","date_published":"2010-05-01T07:00:00Z","updated_at":"2026-07-24T06:07:10Z","subjects":["organizational psychology","educational tests and measurements","employment tests","Educational Assessment, Evaluation, and Research","Industrial and Organizational Psychology"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.wku.edu/theses/165","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dr. Reagan Brown (Director), Dr. Elizabeth Shoenfelt, Dr. Anthony Paquin"]},{"key":"dc:creator","label":"Author","values":["Goins, David Matthew"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Department of Psychology"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Arts"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["organizational psychology","educational tests and measurements","employment tests","Educational Assessment, Evaluation, and Research","Industrial and Organizational Psychology"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalcommons.wku.edu/theses/165"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The current study employs Monte Carlo analyses to evaluate the effectiveness of various statistical procedures for determining specific values of interest within a population of 1,000,000 cases. Specifically, the proper procedures for addressing the opposing effects of direct range restriction and validity overestimation were assessed through a comparison of multiple correlation coefficients derived using various sequences of procedures in randomly drawn samples. A comparison of the average bias associated with these methods indicated that correction for range restriction prior to the application of a validity overestimation adjustment formula yielded the best estimate of population parameters over a number of conditions. Additionally, similar methods were employed to assess the effectiveness of the standard ΔR2F-test for determining, based on characteristics of the derivation sample, the comparative superiority of either optimally or unit weighted composites in future samples; this procedure was largely ineffective under the conditions employed in the current study."]},{"key":"dc:title","label":"Title","values":["Population Cross-Validity Estimation and Adjustment for Direct Range Restriction: A Monte Carlo Investigation of Procedural Sequences to Achieve Optimal Cross-Validity"]}]}],"canonical_facts":{"dc:contributor":["Dr. Reagan Brown (Director), Dr. Elizabeth Shoenfelt, Dr. Anthony Paquin"],"dc:creator":["Goins, David Matthew"],"dc:description.abstract":["The current study employs Monte Carlo analyses to evaluate the effectiveness of various statistical procedures for determining specific values of interest within a population of 1,000,000 cases. Specifically, the proper procedures for addressing the opposing effects of direct range restriction and validity overestimation were assessed through a comparison of multiple correlation coefficients derived using various sequences of procedures in randomly drawn samples. A comparison of the average bias associated with these methods indicated that correction for range restriction prior to the application of a validity overestimation adjustment formula yielded the best estimate of population parameters over a number of conditions. Additionally, similar methods were employed to assess the effectiveness of the standard ΔR2F-test for determining, based on characteristics of the derivation sample, the comparative superiority of either optimally or unit weighted composites in future samples; this procedure was largely ineffective under the conditions employed in the current study."],"dc:identifier":["https://digitalcommons.wku.edu/theses/165"],"dc:subject":["organizational psychology","educational tests and measurements","employment tests","Educational Assessment, Evaluation, and Research","Industrial and Organizational Psychology"],"dc:title":["Population Cross-Validity Estimation and Adjustment for Direct Range Restriction: A Monte Carlo Investigation of Procedural Sequences to Achieve Optimal Cross-Validity"],"dc:type":["Thesis"],"thesis:degree_discipline":["Department of Psychology"],"thesis:degree_name":["Master of Arts"]},"updated_at":"2026-07-24T06:07:10Z"}