Nikos Dimotakis

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Topics include psychometrics, construct validation, factor analysis, moderation, mediation, polynomial regression and response surface analysis, logistic regression, path and panel analyses, and longitudinal analyses. The focus is on developing mastery of data analyses using regression and structural equation modeling software (SEM), interpreting analyses, and developing practical research skills.Prerequisite(s): Doctoral student standing and consent of instructor.

Exploring the dynamics of stress and anxiety in the workplace from both managerial and employee perspectives. Students will be exposed to psychological theories and organizational practices to learn creative strategies aimed at fostering resilience, enhancing well-being, and optimizing productivity in the face of workplace pressures. Through case studies, discussions, and practical exercises, students will develop actionable integrating evidence-based techniques for developing personal resilience and supportive workplaces.

Focuses on developing and testing more nuanced hypotheses such as those involving moderated mediation, change, and non-linear effects. In addition, more sophisticated analytical approaches necessary to deal with complex samples, contexts, and measurement will be introduced; such as, structural equation modeling, multilevel modeling, polynomial and spline regression, and logistic regression.Prerequisite(s): Doctoral student standing and consent of instructor.

Focuses on developing and testing more nuanced hypotheses such as those involving moderated mediation, change, and non-linear effects. In addition, more sophisticated analytical approaches necessary to deal with complex samples, contexts, and measurement will be introduced; such as, structural equation modeling, multilevel modeling, polynomial and spline regression, and logistic regression.Prerequisite(s): Doctoral student standing and consent of instructor.

Exploring the dynamics of stress and anxiety in the workplace from both managerial and employee perspectives. Students will be exposed to psychological theories and organizational practices to learn creative strategies aimed at fostering resilience, enhancing well-being, and optimizing productivity in the face of workplace pressures. Through case studies, discussions, and practical exercises, students will develop actionable integrating evidence-based techniques for developing personal resilience and supportive workplaces.

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Interdisciplinary in nature; focused on research methodology.Offered for variable credit, 3-6 credit hours, maximum of 12 credit hours.Prerequisite(s): Consent of instructor.

Management to promote eustress (positive stress) and prevent or resolve distress (negative stress) in organizations. Psychophysiology of the stress response and the individual and organizational costs of distress. The principles and methods of preventive stress management.Prerequisite(s): MGMT 3013.

Focuses on developing and testing more nuanced hypotheses such as those involving moderated mediation, change, and non-linear effects. In addition, more sophisticated analytical approaches necessary to deal with complex samples, contexts, and measurement will be introduced; such as, structural equation modeling, multilevel modeling, polynomial and spline regression, and logistic regression.Prerequisite(s): Doctoral student standing and consent of instructor.

Focuses on developing and testing more nuanced hypotheses such as those involving moderated mediation, change, and non-linear effects. In addition, more sophisticated analytical approaches necessary to deal with complex samples, contexts, and measurement will be introduced; such as, structural equation modeling, multilevel modeling, polynomial and spline regression, and logistic regression.Prerequisite(s): Doctoral student standing and consent of instructor.

Management to promote eustress (positive stress) and prevent or resolve distress (negative stress) in organizations. Psychophysiology of the stress response and the individual and organizational costs of distress. The principles and methods of preventive stress management.Prerequisite(s): MGMT 3013.

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Topics include: research methods, psychometrics, descriptive statistics, inferential statistics, correlation, linear prediction, and other methods as deemed necessary by the instructor. Students will show competence in proper data collection and evaluation techniques, as well as skills necessary to write up and present quantitative findings. Students will apply these concepts practically over the course of the semester and will be expected to develop their own data sets for analysis. Previously offered as MGMT 5523.

This course focuses on the application of analytic procedures and theories to the practice of human resource management. Topics include: research methods, psychometrics, descriptive statistics, inferential statistics, correlation, linear prediction, and other methods as deemed appropriate by the instructor. Students will show competence In proper data collection and evaluation techniques, as well as skills necessary to write up and present quantitative findings. May not be used for degree credit with STAT 3013 or PSYC 3214. Previously offered as MGMT 3513.Prerequisite(s): MGMT 3313.

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Building on the first two seminars in the sequence, this class focuses on developing and testing more nuanced hypotheses such as those involving moderated mediation, change, and non-linear effects. In addition, more sophisticated analytical approaches necessary to deal with complex samples, contexts, and measurement will be introduced; such as, structural equation modeling, multilevel modeling, polynomial and spline regression, and logistic regression.Prerequisite(s): Doctoral student standing and consent of instructor.

Building on the first two seminars in the sequence, this class focuses on developing and testing more nuanced hypotheses such as those involving moderated mediation, change, and non-linear effects. In addition, more sophisticated analytical approaches necessary to deal with complex samples, contexts, and measurement will be introduced; such as, structural equation modeling, multilevel modeling, polynomial and spline regression, and logistic regression.Prerequisite(s): Doctoral student standing and consent of instructor.

Topics include: research methods, psychometrics, descriptive statistics, inferential statistics, correlation, linear prediction, and other methods as deemed necessary by the instructor. Students will show competence in proper data collection and evaluation techniques, as well as skills necessary to write up and present quantitative findings. Students will apply these concepts practically over the course of the semester and will be expected to develop their own data sets for analysis. Previously offered as MGMT 5523.

This course focuses on the application of analytic procedures and theories to the practice of human resource management. Topics include: research methods, psychometrics, descriptive statistics, inferential statistics, correlation, linear prediction, and other methods as deemed appropriate by the instructor. Students will show competence In proper data collection and evaluation techniques, as well as skills necessary to write up and present quantitative findings. May not be used for degree credit with STAT 3013 or PSYC 3214. Previously offered as MGMT 3513.Prerequisite(s): MGMT 3313.

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Offered for variable credit, 1-9 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of advisory committee.

Topics include: research methods, psychometrics, descriptive statistics, inferential statistics, correlation, linear prediction, and other methods as deemed necessary by the instructor. Students will show competence in proper data collection and evaluation techniques, as well as skills necessary to write up and present quantitative findings. Students will apply these concepts practically over the course of the semester and will be expected to develop their own data sets for analysis. Previously offered as MGMT 5523.