{"id":{"repo_id":"brock","oai_identifier":"oai:brocku.scholaris.ca:10464/3997"},"canonical_url":"https://search.dev.ndltd.org/etd/brock/oai:brocku.scholaris.ca:10464/3997","repository":{"repo_id":"brock","name":"Brock University","base_url":"https://brocku.scholaris.ca/server/oai/request"},"display":{"title":"Investigating Player Salaries and Performance in the National Hockey League","abstract":"This thesis examines salary structure types (hierarchical or compressed) as predictors of team performance in the National Hockey League (NHL). Additionally, an analysis of goalie statistics is completed in order to determine what, if any, performance measures relate to salary. Data in this research were collected from the 2005-06 season up to the 2010-11 season. Salary inequality/equality (Gini coefficient) was used in a regression analysis to determine if it was an effective predictor of team performance (n = 178) (winning percentage). The results indicated that a hierarchical salary structure increased team performance, although the amount of variability explained was very small. Another regression analysis was completed to determine if any goalie performance measures (n = 245) were effective predictors of individual salary. A regression analysis was employed and indicated that goalie performance measures predicted 19.8% of variance to salary. The only statistical significant variable was games played.","abstract_html":"This thesis examines salary structure types (hierarchical or compressed) as predictors of team performance in the National Hockey League (NHL). Additionally, an analysis of goalie statistics is completed in order to determine what, if any, performance measures relate to salary. Data in this research were collected from the 2005-06 season up to the 2010-11 season. Salary inequality/equality (Gini coefficient) was used in a regression analysis to determine if it was an effective predictor of team performance (n = 178) (winning percentage). The results indicated that a hierarchical salary structure increased team performance, although the amount of variability explained was very small. Another regression analysis was completed to determine if any goalie performance measures (n = 245) were effective predictors of individual salary. A regression analysis was employed and indicated that goalie performance measures predicted 19.8% of variance to salary. The only statistical significant variable was games played.","abstract_has_math":false,"creators":["Fullard, Jonathan"],"institution":"Brock University","degree_name":"M.A. Applied Health Sciences","degree_level":"Masters","degree_discipline":"Faculty of Applied Health Sciences","degree_department":"Applied Health Sciences Program","school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012-04-27","date_published":"2012-04-27","updated_at":"2026-07-24T01:23:00Z","subjects":["tournament theory","interdependence","NHL","performance"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10464/3997","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.department","label":"Department","values":["Applied Health Sciences Program"]},{"key":"dc:creator","label":"Author","values":["Fullard, Jonathan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2012-04-27T12:51:58Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2012-04-27T12:51:58Z"]},{"key":"dc:date.issued","label":"Date","values":["2012-04-27"]},{"key":"dc:type","label":"Dc Type","values":["Electronic Thesis or Dissertation"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Faculty of Applied Health Sciences"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.A. Applied Health Sciences"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Brock University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["tournament theory","interdependence","NHL","performance"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10464/3997"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This thesis examines salary structure types (hierarchical or compressed) as predictors of team performance in the National Hockey League (NHL). Additionally, an analysis of goalie statistics is completed in order to determine what, if any, performance measures relate to salary. Data in this research were collected from the 2005-06 season up to the 2010-11 season. Salary inequality/equality (Gini coefficient) was used in a regression analysis to determine if it was an effective predictor of team performance (n = 178) (winning percentage). The results indicated that a hierarchical salary structure increased team performance, although the amount of variability explained was very small. Another regression analysis was completed to determine if any goalie performance measures (n = 245) were effective predictors of individual salary. A regression analysis was employed and indicated that goalie performance measures predicted 19.8% of variance to salary. The only statistical significant variable was games played."]},{"key":"dc:title","label":"Title","values":["Investigating Player Salaries and Performance in the National Hockey League"]}]}],"canonical_facts":{"dc:contributor.department":["Applied Health Sciences Program"],"dc:creator":["Fullard, Jonathan"],"dc:date.accessioned":["2012-04-27T12:51:58Z"],"dc:date.available":["2012-04-27T12:51:58Z"],"dc:date.issued":["2012-04-27"],"dc:description.abstract":["This thesis examines salary structure types (hierarchical or compressed) as predictors of team performance in the National Hockey League (NHL). Additionally, an analysis of goalie statistics is completed in order to determine what, if any, performance measures relate to salary. Data in this research were collected from the 2005-06 season up to the 2010-11 season. Salary inequality/equality (Gini coefficient) was used in a regression analysis to determine if it was an effective predictor of team performance (n = 178) (winning percentage). The results indicated that a hierarchical salary structure increased team performance, although the amount of variability explained was very small. Another regression analysis was completed to determine if any goalie performance measures (n = 245) were effective predictors of individual salary. A regression analysis was employed and indicated that goalie performance measures predicted 19.8% of variance to salary. The only statistical significant variable was games played."],"dc:identifier.uri":["http://hdl.handle.net/10464/3997"],"dc:language.iso":["eng"],"dc:subject":["tournament theory","interdependence","NHL","performance"],"dc:title":["Investigating Player Salaries and Performance in the National Hockey League"],"dc:type":["Electronic Thesis or Dissertation"],"thesis:degree_discipline":["Faculty of Applied Health Sciences"],"thesis:degree_level":["Masters"],"thesis:degree_name":["M.A. Applied Health Sciences"],"thesis:institution_name":["Brock University"]},"updated_at":"2026-07-24T01:23:00Z"}