A short form of the Maximization Scale: Factor structure, reliability and validity studies
We conducted an analysis of the 13-item Maximization Scale (Schwartz et al., 2002) with the goal of establishing its factor structure, reliability and validity. We also investigated the psychometric properties of several proposed refined versions of the scale. Four sets of analyses are reported. The...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2008-06-01
|
| Series: | Judgment and Decision Making |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S1930297500000395/type/journal_article |
| _version_ | 1797696327798226944 |
|---|---|
| author | Gergana Y. Nenkov Maureen Morrin Andrew Ward Barry Schwartz John Hulland |
| author_facet | Gergana Y. Nenkov Maureen Morrin Andrew Ward Barry Schwartz John Hulland |
| author_sort | Gergana Y. Nenkov |
| collection | DOAJ |
| description | We conducted an analysis of the 13-item Maximization Scale (Schwartz et al., 2002) with the goal of establishing its factor structure, reliability and validity. We also investigated the psychometric properties of several proposed refined versions of the scale. Four sets of analyses are reported. The first analysis confirms the 3-part factor structure of the scale and assesses its reliability. The second analysis identifies those items that do not perform well on the basis of internal, external, and judgmental criteria, and develops three shorter versions of the scale. In the third analysis, the three refined versions of the scale are cross-validated to confirm dimensionality, reliability, and validity. The fourth analysis uses an experiment in an investment decision making context to assess the reliability and nomological validity of the refined scales. These analyses lead us to conclude that a shorter, 6-item Maximization Scale performs best and should be used by future researchers. It is hoped that clarification of the conceptual underpinnings of the maximization construct and development of a refined scale will enhance its use among researchers across several of the social science disciplines. |
| first_indexed | 2024-03-12T03:24:47Z |
| format | Article |
| id | doaj.art-304b621a41de48cfb14202cc0e7d0876 |
| institution | Directory Open Access Journal |
| issn | 1930-2975 |
| language | English |
| last_indexed | 2024-03-12T03:24:47Z |
| publishDate | 2008-06-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Judgment and Decision Making |
| spelling | doaj.art-304b621a41de48cfb14202cc0e7d08762023-09-03T13:42:56ZengCambridge University PressJudgment and Decision Making1930-29752008-06-01337138810.1017/S1930297500000395A short form of the Maximization Scale: Factor structure, reliability and validity studiesGergana Y. Nenkov0Maureen Morrin1Andrew Ward2Barry Schwartz3John Hulland4Department of Marketing, Boston CollegeDepartment of Marketing, Rutgers UniversityDepartment of Psychology, Swarthmore CollegeDepartment of Psychology, Swarthmore CollegeDepartment of Marketing, University of PittsburghWe conducted an analysis of the 13-item Maximization Scale (Schwartz et al., 2002) with the goal of establishing its factor structure, reliability and validity. We also investigated the psychometric properties of several proposed refined versions of the scale. Four sets of analyses are reported. The first analysis confirms the 3-part factor structure of the scale and assesses its reliability. The second analysis identifies those items that do not perform well on the basis of internal, external, and judgmental criteria, and develops three shorter versions of the scale. In the third analysis, the three refined versions of the scale are cross-validated to confirm dimensionality, reliability, and validity. The fourth analysis uses an experiment in an investment decision making context to assess the reliability and nomological validity of the refined scales. These analyses lead us to conclude that a shorter, 6-item Maximization Scale performs best and should be used by future researchers. It is hoped that clarification of the conceptual underpinnings of the maximization construct and development of a refined scale will enhance its use among researchers across several of the social science disciplines.https://www.cambridge.org/core/product/identifier/S1930297500000395/type/journal_articlemaximizingsatisficingscale refinementpsychometric analysis |
| spellingShingle | Gergana Y. Nenkov Maureen Morrin Andrew Ward Barry Schwartz John Hulland A short form of the Maximization Scale: Factor structure, reliability and validity studies Judgment and Decision Making maximizing satisficing scale refinement psychometric analysis |
| title | A short form of the Maximization Scale: Factor structure, reliability and validity studies |
| title_full | A short form of the Maximization Scale: Factor structure, reliability and validity studies |
| title_fullStr | A short form of the Maximization Scale: Factor structure, reliability and validity studies |
| title_full_unstemmed | A short form of the Maximization Scale: Factor structure, reliability and validity studies |
| title_short | A short form of the Maximization Scale: Factor structure, reliability and validity studies |
| title_sort | short form of the maximization scale factor structure reliability and validity studies |
| topic | maximizing satisficing scale refinement psychometric analysis |
| url | https://www.cambridge.org/core/product/identifier/S1930297500000395/type/journal_article |
| work_keys_str_mv | AT gerganaynenkov ashortformofthemaximizationscalefactorstructurereliabilityandvaliditystudies AT maureenmorrin ashortformofthemaximizationscalefactorstructurereliabilityandvaliditystudies AT andrewward ashortformofthemaximizationscalefactorstructurereliabilityandvaliditystudies AT barryschwartz ashortformofthemaximizationscalefactorstructurereliabilityandvaliditystudies AT johnhulland ashortformofthemaximizationscalefactorstructurereliabilityandvaliditystudies AT gerganaynenkov shortformofthemaximizationscalefactorstructurereliabilityandvaliditystudies AT maureenmorrin shortformofthemaximizationscalefactorstructurereliabilityandvaliditystudies AT andrewward shortformofthemaximizationscalefactorstructurereliabilityandvaliditystudies AT barryschwartz shortformofthemaximizationscalefactorstructurereliabilityandvaliditystudies AT johnhulland shortformofthemaximizationscalefactorstructurereliabilityandvaliditystudies |