{"id":{"repo_id":"andrews-thes","oai_identifier":"oai:digitalcommons.andrews.edu:dissertations-2940"},"canonical_url":"https://search.dev.ndltd.org/etd/andrews-thes/oai:digitalcommons.andrews.edu:dissertations-2940","repository":{"repo_id":"andrews-thes","name":"Andrews University","base_url":"https://digitalcommons.andrews.edu/do/oai/"},"display":{"title":"A Psychometric Investigation of the Short Interpersonal Reactions Inventory: An Exploratory Factor Analysis of the Short Interpersonal Reactions Inventory and an Assessment of the Validity of the Type 1 (Cancer-Prone) Personality Category","abstract":"<p>Purpose</p> <p>The purpose of this study was to determine if the 6 personality Types, as measured by Grossarth-Maticek and Eysenck’s (1990) Short Interpersonal Reactions Inventory (SIRI), were present in a sample of cancer and cancer-free individuals and to examine if the Type 1 personality category (cancer-prone personality) could significantly differentiate cancer from cancer-free subjects. Using an ex post facto research design and a sample of 648 English speaking adults selected from North America, overall findings from a confirmatory factor analysis suggested that contrary to results from some prior studies which validated the 6-personality factor structure of the SIRI, the six personality Types were not sufficiently present and confirmed in the current sample. This observation was attributed to the uniqueness of the current sample and differences in the operationalization of the SIRI across studies. Accordingly, an exploratory factor analysis led to the extraction of two new factors that underlie the factor structure of the current sample. These factors were consequently described as Unhealthy and Healthy personality types. Results from discriminant analyses suggest that the Unhealthy personality type demonstrated good descriptive and predictive discriminant ability and significantly differentiated individuals with a current diagnosis of cancer from their counterparts who do not have cancer. A further analysis using logistic regression modeling techniques also revealed that the ability of the Unhealthy personality type to predict cancer status is quite robust even after controlling for the effects of other theoretically relevant demographic factors. Age and ethnicity were also found to have predicted higher odds of having a cancer diagnosis in the multivariate context. These findings are discussed in light of existing research and directions for future research are noted.</p>","abstract_html":"&lt;p&gt;Purpose&lt;/p&gt; &lt;p&gt;The purpose of this study was to determine if the 6 personality Types, as measured by Grossarth-Maticek and Eysenck’s (1990) Short Interpersonal Reactions Inventory (SIRI), were present in a sample of cancer and cancer-free individuals and to examine if the Type 1 personality category (cancer-prone personality) could significantly differentiate cancer from cancer-free subjects. Using an ex post facto research design and a sample of 648 English speaking adults selected from North America, overall findings from a confirmatory factor analysis suggested that contrary to results from some prior studies which validated the 6-personality factor structure of the SIRI, the six personality Types were not sufficiently present and confirmed in the current sample. This observation was attributed to the uniqueness of the current sample and differences in the operationalization of the SIRI across studies. Accordingly, an exploratory factor analysis led to the extraction of two new factors that underlie the factor structure of the current sample. These factors were consequently described as Unhealthy and Healthy personality types. Results from discriminant analyses suggest that the Unhealthy personality type demonstrated good descriptive and predictive discriminant ability and significantly differentiated individuals with a current diagnosis of cancer from their counterparts who do not have cancer. A further analysis using logistic regression modeling techniques also revealed that the ability of the Unhealthy personality type to predict cancer status is quite robust even after controlling for the effects of other theoretically relevant demographic factors. Age and ethnicity were also found to have predicted higher odds of having a cancer diagnosis in the multivariate context. These findings are discussed in light of existing research and directions for future research are noted.&lt;/p&gt;","abstract_has_math":false,"creators":["Taller, Jason"],"institution":null,"degree_name":"Doctor of Philosophy","degree_level":"Dissertation","degree_discipline":"Counseling Psychology, Ph.D.","degree_department":null,"school":null,"contributors":["Rudolph Bailey","Jimmy Kijai","Carole Woolford-Hunt"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-01-01T08:00:00Z","date_published":"2018-01-01T08:00:00Z","updated_at":"2026-07-24T00:53:24Z","subjects":["Personality","Cancer","Short Interpersonal Reactions Inventory"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.andrews.edu/dissertations/1669","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Rudolph Bailey","Jimmy Kijai","Carole Woolford-Hunt"]},{"key":"dc:creator","label":"Author","values":["Taller, Jason"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2019-01-15T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Counseling Psychology, Ph.D."]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Personality","Cancer","Short Interpersonal Reactions Inventory"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalcommons.andrews.edu/dissertations/1669"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>Purpose</p> <p>The purpose of this study was to determine if the 6 personality Types, as measured by Grossarth-Maticek and Eysenck’s (1990) Short Interpersonal Reactions Inventory (SIRI), were present in a sample of cancer and cancer-free individuals and to examine if the Type 1 personality category (cancer-prone personality) could significantly differentiate cancer from cancer-free subjects. Using an ex post facto research design and a sample of 648 English speaking adults selected from North America, overall findings from a confirmatory factor analysis suggested that contrary to results from some prior studies which validated the 6-personality factor structure of the SIRI, the six personality Types were not sufficiently present and confirmed in the current sample. This observation was attributed to the uniqueness of the current sample and differences in the operationalization of the SIRI across studies. Accordingly, an exploratory factor analysis led to the extraction of two new factors that underlie the factor structure of the current sample. These factors were consequently described as Unhealthy and Healthy personality types. Results from discriminant analyses suggest that the Unhealthy personality type demonstrated good descriptive and predictive discriminant ability and significantly differentiated individuals with a current diagnosis of cancer from their counterparts who do not have cancer. A further analysis using logistic regression modeling techniques also revealed that the ability of the Unhealthy personality type to predict cancer status is quite robust even after controlling for the effects of other theoretically relevant demographic factors. Age and ethnicity were also found to have predicted higher odds of having a cancer diagnosis in the multivariate context. These findings are discussed in light of existing research and directions for future research are noted.</p>"]},{"key":"dc:title","label":"Title","values":["A Psychometric Investigation of the Short Interpersonal Reactions Inventory: An Exploratory Factor Analysis of the Short Interpersonal Reactions Inventory and an Assessment of the Validity of the Type 1 (Cancer-Prone) Personality Category"]}]}],"canonical_facts":{"dc:contributor":["Rudolph Bailey","Jimmy Kijai","Carole Woolford-Hunt"],"dc:creator":["Taller, Jason"],"dc:date.available":["2019-01-15T08:00:00Z"],"dc:description.abstract":["<p>Purpose</p> <p>The purpose of this study was to determine if the 6 personality Types, as measured by Grossarth-Maticek and Eysenck’s (1990) Short Interpersonal Reactions Inventory (SIRI), were present in a sample of cancer and cancer-free individuals and to examine if the Type 1 personality category (cancer-prone personality) could significantly differentiate cancer from cancer-free subjects. Using an ex post facto research design and a sample of 648 English speaking adults selected from North America, overall findings from a confirmatory factor analysis suggested that contrary to results from some prior studies which validated the 6-personality factor structure of the SIRI, the six personality Types were not sufficiently present and confirmed in the current sample. This observation was attributed to the uniqueness of the current sample and differences in the operationalization of the SIRI across studies. Accordingly, an exploratory factor analysis led to the extraction of two new factors that underlie the factor structure of the current sample. These factors were consequently described as Unhealthy and Healthy personality types. Results from discriminant analyses suggest that the Unhealthy personality type demonstrated good descriptive and predictive discriminant ability and significantly differentiated individuals with a current diagnosis of cancer from their counterparts who do not have cancer. A further analysis using logistic regression modeling techniques also revealed that the ability of the Unhealthy personality type to predict cancer status is quite robust even after controlling for the effects of other theoretically relevant demographic factors. Age and ethnicity were also found to have predicted higher odds of having a cancer diagnosis in the multivariate context. These findings are discussed in light of existing research and directions for future research are noted.</p>"],"dc:identifier":["https://digitalcommons.andrews.edu/dissertations/1669"],"dc:subject":["Personality","Cancer","Short Interpersonal Reactions Inventory"],"dc:title":["A Psychometric Investigation of the Short Interpersonal Reactions Inventory: An Exploratory Factor Analysis of the Short Interpersonal Reactions Inventory and an Assessment of the Validity of the Type 1 (Cancer-Prone) Personality Category"],"thesis:degree_discipline":["Counseling Psychology, Ph.D."],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy"]},"updated_at":"2026-07-24T00:53:24Z"}