<p> <i><b>Objective:</b></i> The goal of this research was to empirically evaluate the predictive utility of Harrison Assessment Talent Management System (HATS) for use as a selection instrument within organizational settings. <i><b>Method:</b></i> This was done by investigating the strength of the relationship between the job fit percentages generated by HATS and the performance ratings (i.e., number of life insurance policies sold within the first 6 months of employment ) of 238 employees (201 men and 37 women) working for a large American insurance company. <i><b>Results: </b></i> The correlation between HATS prediction scores and performance ratings yielded significant findings, <i>r</i>(236) = .599, <i> p</i>> .0001, indicating HATS is a useful instrument for predicting employee performance. Ancillary analysis revealed only 7 of 156 predictor variables significantly correlated with performance ratings. Further statistical procedures aimed at exploring the contribution of all 7 variables to performance ratings were conducted using multiple regression techniques. A significant but modest relationship was found between the vector of predictor traits and job performance, <i> R</i> = .395, F(7, 230) = 6.083, p > .001. In addition, the HATS attributes of Systematic (&beta; = .275), Teaching (&beta; = 184), and Planning (&beta; = -.156) were found to be significant predictors of performance, <i> p</i> > .04. <i><b>Conclusions:</b></i> HATS was shown to be a significant predictor of job performance. The strength of the correlation coefficient along with its innovative methodology makes it somewhat unique among psychological tests used in organizational settings.</p><p> <i>Keywords: Harrison Assessments, Harrison Assessments Talent Management Systems, Psychometric Testing, Predicting Performance, Measuring Performance, Personality, Interests, Intelligence, Person-Environment Fit, Motivation, Mood, and Uncertainty Factors.</i></p>

The lack of a relevant and responsive health-related quality of life (HRQoL) measure for lung transplantation has prevented the estimation of HRQoL changes during the prolonged wait for donors and post-operatively in the long-term. The objective of this thesis study was to streamline 58 existing patient-generated items into a short and reliable lung transplant module for use with the Medical Outcomes Study Short Form 36-Item Health Status Survey (SF-36) which would improve the measurement of change. Seventy-six patients responded to both SF-36 and 58-item inventory at intervals pre- and post-operatively. Data were used to reduce the inventory. Concurrent clinical data were obtained to enable validation. Reliability was assessed through a simple replication study involving 39 patients. Content was verified with a group of lung transplant specialists who had no prior contact with the study. Two resulting scales were proposed: a 10-item "Functions and Feelings" and an 8-item "Symptom" scale. Preliminary psychometric properties, including responsiveness to change, were excellent for the "Functions and Feelings," however, the "Symptom" items could not be aggregated. With further testing of the proposed module, it can become a clinically-useful HRQoL measure for lung transplantation.

Collectivism and individualism are culturally-related psychological structures which have been used to distinguish people within and across various societies. From a review of the literature, it is argued that the most salient feature of individualism is valuing personal independence, which includes self-knowledge, uniqueness, privacy, clear communication, and competitiveness. Collectivism is associated with a strong sense of duty to group, relatedness to others, seeking others' advice, harmony, and working with the group. The purpose of the thesis is to explore how collectivist and individualist attributes affect the way people respond to Likert-type questionnaires. In the first study, a new measurement tool for individualism and collectivism was developed to address critical methodological issues in this field of cross-cultural psychology. This new measure the “Auckland Individualism and Collectivism Scale” defined three dimensions of individualism: (a) Responsibility (acknowledging one's responsibility for one's actions), (b) Uniqueness (distinction of the self from the other) and (c) Compete (striving for personal goals is one's prime interest); and two dimensions of collectivism: (d) Advice (seeking advice from people close to one, before taking decisions), and (e) Harmony (seeking to avoid conflict). The AICS avoids the need for measuring horizontal and vertical dimensions of collectivism and individualism, and the confounding effect of familialism on the collectivism-individualism constructs. The second study investigated the relationship between collectivism and individualism and various response sets that have been reported relating to the way in which individuals respond to Likert-type scales. Using structural equation modelling, the Collectivism-Individualism Model of Response Bias was developed. This model suggests two types of response sets: (a) the Impression-Response Bias which includes response sets such as social desirability and context, that affect the first four stages of responding to questions, namely receiving and retrieving data and making decisions; and (b) the Expression-Response Bias which includes response sets such as the extreme response set and the neutral response set that relate to the application of the responses, namely the actual answer chosen by the respondent. Collectivism is negatively correlated with context and with self deception enhancement whereas individualism is positively correlated with context and self deception enhancement and impression management. Context is positively correlated with extreme response set and negatively correlated with neutral response set. The Collectivism-Individualism Model of Response Bias suggests that collectivist and individualist attributes directly affect the Impression-Response Bias response sets and indirectly affect the Expression-Response Bias response sets. It was concluded that attributes of collectivism and individualism affect the decision made by the respondents and therefore lead to different responses to Likert-type questionnaires. Nevertheless, the effect of collectivism and individualism on the magnitude of the responses would be limited as it is mediated by the Impression-Response Bias response set. / Subscription resource available via Digital Dissertations only.

Collectivism and individualism are culturally-related psychological structures which have been used to distinguish people within and across various societies. From a review of the literature, it is argued that the most salient feature of individualism is valuing personal independence, which includes self-knowledge, uniqueness, privacy, clear communication, and competitiveness. Collectivism is associated with a strong sense of duty to group, relatedness to others, seeking others' advice, harmony, and working with the group. The purpose of the thesis is to explore how collectivist and individualist attributes affect the way people respond to Likert-type questionnaires. In the first study, a new measurement tool for individualism and collectivism was developed to address critical methodological issues in this field of cross-cultural psychology. This new measure the “Auckland Individualism and Collectivism Scale” defined three dimensions of individualism: (a) Responsibility (acknowledging one's responsibility for one's actions), (b) Uniqueness (distinction of the self from the other) and (c) Compete (striving for personal goals is one's prime interest); and two dimensions of collectivism: (d) Advice (seeking advice from people close to one, before taking decisions), and (e) Harmony (seeking to avoid conflict). The AICS avoids the need for measuring horizontal and vertical dimensions of collectivism and individualism, and the confounding effect of familialism on the collectivism-individualism constructs. The second study investigated the relationship between collectivism and individualism and various response sets that have been reported relating to the way in which individuals respond to Likert-type scales. Using structural equation modelling, the Collectivism-Individualism Model of Response Bias was developed. This model suggests two types of response sets: (a) the Impression-Response Bias which includes response sets such as social desirability and context, that affect the first four stages of responding to questions, namely receiving and retrieving data and making decisions; and (b) the Expression-Response Bias which includes response sets such as the extreme response set and the neutral response set that relate to the application of the responses, namely the actual answer chosen by the respondent. Collectivism is negatively correlated with context and with self deception enhancement whereas individualism is positively correlated with context and self deception enhancement and impression management. Context is positively correlated with extreme response set and negatively correlated with neutral response set. The Collectivism-Individualism Model of Response Bias suggests that collectivist and individualist attributes directly affect the Impression-Response Bias response sets and indirectly affect the Expression-Response Bias response sets. It was concluded that attributes of collectivism and individualism affect the decision made by the respondents and therefore lead to different responses to Likert-type questionnaires. Nevertheless, the effect of collectivism and individualism on the magnitude of the responses would be limited as it is mediated by the Impression-Response Bias response set. / Subscription resource available via Digital Dissertations only.

Collectivism and individualism are culturally-related psychological structures which have been used to distinguish people within and across various societies. From a review of the literature, it is argued that the most salient feature of individualism is valuing personal independence, which includes self-knowledge, uniqueness, privacy, clear communication, and competitiveness. Collectivism is associated with a strong sense of duty to group, relatedness to others, seeking others' advice, harmony, and working with the group. The purpose of the thesis is to explore how collectivist and individualist attributes affect the way people respond to Likert-type questionnaires. In the first study, a new measurement tool for individualism and collectivism was developed to address critical methodological issues in this field of cross-cultural psychology. This new measure the “Auckland Individualism and Collectivism Scale” defined three dimensions of individualism: (a) Responsibility (acknowledging one's responsibility for one's actions), (b) Uniqueness (distinction of the self from the other) and (c) Compete (striving for personal goals is one's prime interest); and two dimensions of collectivism: (d) Advice (seeking advice from people close to one, before taking decisions), and (e) Harmony (seeking to avoid conflict). The AICS avoids the need for measuring horizontal and vertical dimensions of collectivism and individualism, and the confounding effect of familialism on the collectivism-individualism constructs. The second study investigated the relationship between collectivism and individualism and various response sets that have been reported relating to the way in which individuals respond to Likert-type scales. Using structural equation modelling, the Collectivism-Individualism Model of Response Bias was developed. This model suggests two types of response sets: (a) the Impression-Response Bias which includes response sets such as social desirability and context, that affect the first four stages of responding to questions, namely receiving and retrieving data and making decisions; and (b) the Expression-Response Bias which includes response sets such as the extreme response set and the neutral response set that relate to the application of the responses, namely the actual answer chosen by the respondent. Collectivism is negatively correlated with context and with self deception enhancement whereas individualism is positively correlated with context and self deception enhancement and impression management. Context is positively correlated with extreme response set and negatively correlated with neutral response set. The Collectivism-Individualism Model of Response Bias suggests that collectivist and individualist attributes directly affect the Impression-Response Bias response sets and indirectly affect the Expression-Response Bias response sets. It was concluded that attributes of collectivism and individualism affect the decision made by the respondents and therefore lead to different responses to Likert-type questionnaires. Nevertheless, the effect of collectivism and individualism on the magnitude of the responses would be limited as it is mediated by the Impression-Response Bias response set. / Subscription resource available via Digital Dissertations only.

Collectivism and individualism are culturally-related psychological structures which have been used to distinguish people within and across various societies. From a review of the literature, it is argued that the most salient feature of individualism is valuing personal independence, which includes self-knowledge, uniqueness, privacy, clear communication, and competitiveness. Collectivism is associated with a strong sense of duty to group, relatedness to others, seeking others' advice, harmony, and working with the group. The purpose of the thesis is to explore how collectivist and individualist attributes affect the way people respond to Likert-type questionnaires. In the first study, a new measurement tool for individualism and collectivism was developed to address critical methodological issues in this field of cross-cultural psychology. This new measure the “Auckland Individualism and Collectivism Scale” defined three dimensions of individualism: (a) Responsibility (acknowledging one's responsibility for one's actions), (b) Uniqueness (distinction of the self from the other) and (c) Compete (striving for personal goals is one's prime interest); and two dimensions of collectivism: (d) Advice (seeking advice from people close to one, before taking decisions), and (e) Harmony (seeking to avoid conflict). The AICS avoids the need for measuring horizontal and vertical dimensions of collectivism and individualism, and the confounding effect of familialism on the collectivism-individualism constructs. The second study investigated the relationship between collectivism and individualism and various response sets that have been reported relating to the way in which individuals respond to Likert-type scales. Using structural equation modelling, the Collectivism-Individualism Model of Response Bias was developed. This model suggests two types of response sets: (a) the Impression-Response Bias which includes response sets such as social desirability and context, that affect the first four stages of responding to questions, namely receiving and retrieving data and making decisions; and (b) the Expression-Response Bias which includes response sets such as the extreme response set and the neutral response set that relate to the application of the responses, namely the actual answer chosen by the respondent. Collectivism is negatively correlated with context and with self deception enhancement whereas individualism is positively correlated with context and self deception enhancement and impression management. Context is positively correlated with extreme response set and negatively correlated with neutral response set. The Collectivism-Individualism Model of Response Bias suggests that collectivist and individualist attributes directly affect the Impression-Response Bias response sets and indirectly affect the Expression-Response Bias response sets. It was concluded that attributes of collectivism and individualism affect the decision made by the respondents and therefore lead to different responses to Likert-type questionnaires. Nevertheless, the effect of collectivism and individualism on the magnitude of the responses would be limited as it is mediated by the Impression-Response Bias response set. / Subscription resource available via Digital Dissertations only.

Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006. / Source: Dissertation Abstracts International, Volume: 68-02, Section: A, page: 0540. Adviser: Jeffrey Douglas. Includes bibliographical references (leaves 60-63) Available on microfilm from Pro Quest Information and Learning.

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 1990. / Source: Dissertation Abstracts International, Volume: 51-09, Section: B, page: 4638.

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 1993. / Source: Dissertation Abstracts International, Volume: 54-08, Section: B, page: 4389. Chair: Nancy Gourash Bliwise.

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 1993. / Source: Dissertation Abstracts International, Volume: 54-09, Section: B, page: 4922. Chair: Amy Wisniewski.