Twin Cities campus

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Twin Cities Campus

Nursing Ph.D.

School of Nursing
School of Nursing
Link to a list of faculty for this program.
Contact Information
School of Nursing, 5-160 Weaver-Densford Hall, 308 Harvard Street S.E., Minneapolis, MN 55455 (612-625-7980; fax: 612-625-7727)
  • Program Type: Doctorate
  • Requirements for this program are current for Fall 2018
  • Length of program in credits: 58 to 70
  • This program does not require summer semesters for timely completion.
  • Degree: Doctor of Philosophy
Along with the program-specific requirements listed below, please read the General Information section of this website for requirements that apply to all major fields.
The PhD program in nursing prepares scholars as scientists, leaders, innovators, and educators in nursing and health care who: -Discover new knowledge for nursing science and health care practice through ethical, innovative, theory-based research; -Integrate knowledge to influence health care delivery and policy through collaborative, interprofessional initiatives at organizational, local, state, regional, national, and global levels; -Create and evaluate strategies to improve the health and well-being of individuals, families, communities, and populations; and -Disseminate knowledge to those in nursing, other health sciences, policy makers, and the public through scholarly publication, formal teaching, and other creative venues.
Accreditation
This program is accredited by Commission on Collegiate Nursing Education (CCNE).
Program Delivery
  • via classroom (the majority of instruction is face-to-face)
Prerequisites for Admission
The preferred undergraduate GPA for admittance to the program is 3.00.
Applicants must submit their test score(s) from the following:
  • GRE
    • General Test - Verbal Reasoning: 156
    • General Test - Quantitative Reasoning: 146
    • General Test - Analytical Writing: 5.0
International applicants must submit score(s) from one of the following tests:
  • TOEFL
    • Internet Based - Total Score: 95
  • MELAB
    • Final score: 85
Key to test abbreviations (GRE, TOEFL, MELAB).
For an online application or for more information about graduate education admissions, see the General Information section of this website.
Program Requirements
34 to 46 credits are required in the major.
24 thesis credits are required.
This program may be completed with a minor.
Use of 4xxx courses toward program requirements is permitted under certain conditions with adviser approval.
A minimum GPA of 3.00 is required for students to remain in good standing.
At least 2 semesters must be completed before filing a Degree Program Form.
Core Coursework (26 credits)
All students take the following courses. Take NURS 8171 for 3 credits.
NURS 8180 - Doctoral Proseminar I: Scholarly Development (1.0 cr)
NURS 8175 - Quantitative Research Design and Methods (3.0 cr)
NURS 8172 - Theory and Theory Development for Research (3.0 cr)
NURS 8152 - Advanced Ethics in Nursing Research and Scholarship (2.0 cr)
NURS 8171 - Qualitative Research Design and Methods (3.0-4.0 cr)
NURS 8177 - Advanced Nursing Research Practicum (1.0-2.0 cr)
NURS 8190 - Critical Review in Nursing and Health Research (2.0 cr)
NURS 8121 - Health Behaviors and Illness Responses (3.0 cr)
NURS 8173 - Principles and Methods of Implementing Research (3.0 cr)
NURS 8134 {Inactive} (3.0 cr)
Statistics (6 credits)
Select at least 6 statistics credits from the courses listed below, in consultation with the faculty advisor.
Biostatistics
PUBH 6450 - Biostatistics I (4.0 cr)
PUBH 6451 - Biostatistics II (4.0 cr)
or EPSY 8251 - Statistical Methods in Education I (3.0 cr)
EPSY 8252 - Statistical Methods in Education II (3.0 cr)
Thesis Credits
Take at least 24 doctoral thesis credits.
NURS 8888 - Thesis Credit: Doctoral (1.0-24.0 cr)
Post-Master's- and Post-Baccalaureate-Entry Electives
The number of required elective credits is determined by the highest degree awarded prior to Nursing PhD enrollment. Note that the Master of Nursing degree does not qualify for Post-Master's-Entry status.
Post-Master's-Entry Electives (2 credits)
Take two or more credits from the following list, or select alternative courses, in consultation with the faculty advisor:
NURS 5115 - Nursing Informatics and Digital Health Technologies (3.0 cr)
NURS 5925 {Inactive} (1.0 cr)
NURS 7600 - Nursing Research and Evidence Based Practice (4.0 cr)
NURS 6102 - Family Health Theory (2.0 cr)
NURS 7200 - Economics of Health Care (3.0 cr)
NURS 7300 - Program Planning and Evaluation (3.0 cr)
NURS 7900 - Scholarly Teaching and Learning in Nursing (3.0 cr)
NURS 7904 - Nursing Education Practicum (2.0 cr)
NURS 8195 - Mixed Methods Research (2.0 cr)
NURS 8185 - Qualitative Data Analysis for Health Care Research (3.0-4.0 cr)
NURS 8179 - Biophysiological Measurement and Instrumentation in Clinical Research (3.0 cr)
NURS 8193 {Inactive} (1.0-6.0 cr)
HINF 5430 - Foundations of Health Informatics I (3.0 cr)
HINF 5431 - Foundations of Health Informatics II (3.0 cr)
FSOS 8105 - Family Gerontology (3.0 cr)
GERO 5100 - Topics in Gerontology (0.5-4.0 cr)
GERO 5111 - Studying Aging and Chronic Illness (2.0 cr)
GERO 5125 - Gerontology Service Learning (1.0-3.0 cr)
GERO 8021 - Application of Proteomics to Aging (1.0 cr)
GERO 8022 - Fostering a Career in Aging Research (1.0 cr)
GERO 8023 - Aging Policy Seminar (2.0 cr)
PUBH 6904 - Nutrition and Aging (2.0 cr)
PUBH 8803 {Inactive} (2.0 cr)
SW 5810 {Inactive} (1.0-4.0 cr)
PUBH 6320 - Fundamentals of Epidemiology (3.0 cr)
PUBH 6341 - Epidemiologic Methods I (3.0 cr)
PUBH 6617 {Inactive} (3.0 cr)
PUBH 6810 - Survey Research Methods (3.0 cr)
PUBH 7250 - Designing and Conducting Focus Group Interviews (1.0 cr)
PUBH 7251 {Inactive} (1.0 cr)
EPSY 5245 - Advanced Survey Data Analysis for Categorical and Rating Scale Data (1.0 cr)
EPSY 8264 - Advanced Multiple Regression Analysis (3.0 cr)
EPSY 8265 - Factor Analysis (3.0 cr)
EPSY 8266 - Statistical Analysis Using Structural Equation Methods (3.0 cr)
EPSY 8268 - Hierarchical Linear Modeling in Educational Research (3.0 cr)
-OR-
Post-Baccalaureate-Entry Electives (14 credits)
Take 14 or more credits from the following list, or select alternative courses, in consultation with the faculty advisor:
NURS 5115 - Nursing Informatics and Digital Health Technologies (3.0 cr)
NURS 5925 {Inactive} (1.0 cr)
NURS 7600 - Nursing Research and Evidence Based Practice (4.0 cr)
NURS 6102 - Family Health Theory (2.0 cr)
NURS 7200 - Economics of Health Care (3.0 cr)
NURS 7300 - Program Planning and Evaluation (3.0 cr)
NURS 7900 - Scholarly Teaching and Learning in Nursing (3.0 cr)
NURS 7904 - Nursing Education Practicum (2.0 cr)
NURS 8195 - Mixed Methods Research (2.0 cr)
NURS 8185 - Qualitative Data Analysis for Health Care Research (3.0-4.0 cr)
NURS 8179 - Biophysiological Measurement and Instrumentation in Clinical Research (3.0 cr)
NURS 8193 {Inactive} (1.0-6.0 cr)
HINF 5430 - Foundations of Health Informatics I (3.0 cr)
HINF 5431 - Foundations of Health Informatics II (3.0 cr)
FSOS 8105 - Family Gerontology (3.0 cr)
GERO 5100 - Topics in Gerontology (0.5-4.0 cr)
GERO 5111 - Studying Aging and Chronic Illness (2.0 cr)
GERO 5125 - Gerontology Service Learning (1.0-3.0 cr)
GERO 8021 - Application of Proteomics to Aging (1.0 cr)
GERO 8022 - Fostering a Career in Aging Research (1.0 cr)
GERO 8023 - Aging Policy Seminar (2.0 cr)
PUBH 6904 - Nutrition and Aging (2.0 cr)
PUBH 8803 {Inactive} (2.0 cr)
SW 5810 {Inactive} (1.0-4.0 cr)
PUBH 6320 - Fundamentals of Epidemiology (3.0 cr)
PUBH 6341 - Epidemiologic Methods I (3.0 cr)
PUBH 6617 {Inactive} (3.0 cr)
PUBH 6810 - Survey Research Methods (3.0 cr)
PUBH 7250 - Designing and Conducting Focus Group Interviews (1.0 cr)
PUBH 7251 {Inactive} (1.0 cr)
EPSY 5245 - Advanced Survey Data Analysis for Categorical and Rating Scale Data (1.0 cr)
EPSY 8264 - Advanced Multiple Regression Analysis (3.0 cr)
EPSY 8265 - Factor Analysis (3.0 cr)
EPSY 8266 - Statistical Analysis Using Structural Equation Methods (3.0 cr)
EPSY 8268 - Hierarchical Linear Modeling in Educational Research (3.0 cr)
 
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NURS 8180 - Doctoral Proseminar I: Scholarly Development
Credits: 1.0 [max 1.0]
Grading Basis: S-N or Aud
Typically offered: Periodic Fall & Spring
Transition to doctoral study. Begins socialization process to role of nursing scholar/scientist. Career trajectories of nursing scholars who have pursued various roles. prereq: Doctoral nursing student
NURS 8175 - Quantitative Research Design and Methods
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Designs for quantitative description and quasi-experimental/experimental evaluation of scientific problems across domain of nursing. Evaluation of logic of design/attribution of causality from health and social science perspectives. prereq: [PhD student in nursing, advanced applied statistics] or instr consent
NURS 8172 - Theory and Theory Development for Research
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Paradigms in nursing/health, associated methods of scientific/scholarly inquiry. Inductive/deductive techniques for theory development Theory-testing using data obtained under controlled conditions. prereq: Doctoral student
NURS 8152 - Advanced Ethics in Nursing Research and Scholarship
Credits: 2.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Spring
Students will analyze values underlying concepts and discourses of health, disease, risk, and use of health care technologies. They will analyze central ethical issues in nursing research, scholarship, and research integrity as part of ethics training required to conduct research. prereq: Nursing PhD student or permission of faculty
NURS 8171 - Qualitative Research Design and Methods
Credits: 3.0 -4.0 [max 4.0]
Typically offered: Every Spring
Overview and comparative analysis of selected qualitative research methods and analytic strategies. Focuses on developing rigorous qualitative designs that contribute to development of nursing and health care knowledge for diverse populations. prereq: 8170 or equiv
NURS 8177 - Advanced Nursing Research Practicum
Credits: 1.0 -2.0 [max 2.0]
Grading Basis: S-N or Aud
Typically offered: Every Fall, Spring & Summer
NURS 8177 Advanced Nursing Research Practicum is a required independent study course where students participate in designing or conducting a nursing or health-related research study under the supervision of a School of Nursing faculty investigator. prereq: PhD nursing student, instr consent, adviser consent
NURS 8190 - Critical Review in Nursing and Health Research
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Skills needed to critique a body of scientific literature in focused areas of nursing research and related fields. Includes construction of literature reviews for planning research projects and for research utilization. prereq: NURS 8142, instructor consent
NURS 8121 - Health Behaviors and Illness Responses
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall & Spring
Theories of health behaviors and responses to illness are analyzed/critiqued. Multivariate research designs. Specification of testable, descriptive, dynamic models for health/illness that incorporate culture, biology, environment, and health systems for diverse individuals, families, communities, and populations. prereq: Doctoral student or instr consent
NURS 8173 - Principles and Methods of Implementing Research
Credits: 3.0 [max 3.0]
Course Equivalencies: Nurs 8173/SAPh 8173
Typically offered: Every Spring
Integrates scientific, statistical, and practical aspects of research. Inter-relationships among design, sample selections, subject access, human subjects requirements, instrument selection and evaluation, data management, analyses plans, grant writing, and research career issues. Field experiences required. prereq: 8114 or other 8xxx grad research methods course, 2 grad stat courses;
PUBH 6450 - Biostatistics I
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
This course will cover the fundamental concepts of exploratory data analysis and statistical inference for univariate and bivariate data, including: ? study design and sampling methods, ? descriptive and graphical summaries, ? random variables and their distributions, ? interval estimation, ? hypothesis testing, ? relevant nonparametric methods, ? simple regression/correlation, and ? introduction to multiple regression. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [College-level algebra, health sciences grad student] or instr consent
PUBH 6451 - Biostatistics II
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
This course will cover more advanced aspects of statistical analysis methods with a focus on statistical modeling, including: ? two-way ANOVA, ? multiple linear regression, ? logistic regression, ? Poisson regression, ? log binomial and ordinal regression, ? survival analysis methods, including Kaplan-Meier analysis and proportional hazards (Cox) regression, ? power and sample size, and ? survey sampling and analysis. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [PubH 6450 with grade of at least B, health sciences grad student] or instr consent
EPSY 8251 - Statistical Methods in Education I
Credits: 3.0 [max 3.0]
Course Equivalencies: EPsy 8251/EPsy 8261
Prerequisites: [EPSY 5261 or equiv] or undergrad statistics course
Typically offered: Every Fall, Spring & Summer
Statistical Methods in Education I is the first course in an entry-level, doctoral sequence for students in education. This course covers estimation and hypothesis testing with a particular focus on ANOVA and an introduction to multiple linear regression. Prepares students for EPSY 8252/8262. prereq: [EPSY 5261 or equiv] or undergrad statistics course
EPSY 8252 - Statistical Methods in Education II
Credits: 3.0 [max 3.0]
Course Equivalencies: EPsy 8252/EPsy 8262
Prerequisites: [8251, 8261 or equiv]
Typically offered: Every Fall & Spring
Statistical Methods in Education II is the second course in an entry-level, doctoral sequence for students in education. This course focuses on multiple linear regression and provides an introduction to linear mixed models. prereq: [8251, 8261 or equiv]
NURS 8888 - Thesis Credit: Doctoral
Credits: 1.0 -24.0 [max 100.0]
Grading Basis: No Grade
Typically offered: Every Fall, Spring & Summer
(No description) prereq: Max 18 cr per semester or summer; 24 cr required
NURS 5115 - Nursing Informatics and Digital Health Technologies
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
This course will provide an introduction to the field of nursing informatics and its role in supporting care processes to ensure safe, high-quality, and efficient healthcare. Nurses, as members of multidisciplinary healthcare teams, play an important role in the implementation and governance of these informatics and digital health tools. Skills on using data from these tools to generate knowledge, drive decision-making, and support equitable access to quality, safe care will be shared. Nurse contributions in using digital technologies, influencing policies, and emerging trends in the field will be discussed.
NURS 7600 - Nursing Research and Evidence Based Practice
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Examination of evidence based nursing including types and levels of evidence, research process, critique, and synthesis of research studies, and the science of implementation. prereq: Completion of or concurrent enrollment in a 3 credit inferential statistics course
NURS 6102 - Family Health Theory
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall
Emerging theory in family nursing science, related theories. Research on family systems for structuring systemic framework to examine clinical problems related to family health care. Applies family health theories to selected phenomena of interest to health care. prereq: 6200 or instr consent
NURS 7200 - Economics of Health Care
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring & Summer
Economic theories of health care in relation to health disparities and global health. Financing strategies, payment systems, and their effect on doctor/nursing practice. prereq: Admission to DNP program
NURS 7300 - Program Planning and Evaluation
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
A critical analysis of methods for practical program planning and evaluation for advanced nursing professionals in leadership roles; includes evaluation of approach and design, intervention processes including stakeholder issues, measurement issues, and strategies to evaluate outcomes achievement. prereq: Admission to DNP program or instr consent
NURS 7900 - Scholarly Teaching and Learning in Nursing
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Spring & Summer
Critical analysis of teaching-learning theories and evidence about elements that comprise effective teaching in diverse populations in order to design and evaluate the quality of plans for educational experiences that facilitate achievement of desired learner outcomes in nursing.
NURS 7904 - Nursing Education Practicum
Credits: 2.0 [max 2.0]
Grading Basis: OPT No Aud
Typically offered: Every Fall
Design, implementation, and evaluation of evidence-based, scholarly teaching and learning in various nursing education contexts. Analysis of select nursing program in relation to meeting standards for accreditation and various other expected outcomes of nursing programs. prereq: Graduate student in nursing or Nurs 7900 or equivalent.
NURS 8195 - Mixed Methods Research
Credits: 2.0 [max 3.0]
Typically offered: Every Fall
Synthesis of of qualitative and quantitative approaches in research designs. Evaluation of major mixed method designs and strategies for evaluating quality based on criteria. Data collection and analysis strategies for integrating quantitative and qualitative findings will be explored. prereq: NURS 8141
NURS 8185 - Qualitative Data Analysis for Health Care Research
Credits: 3.0 -4.0 [max 4.0]
Typically offered: Every Spring
Qualitative analysis techniques for descriptive, interpretive, and analytic data including data preparation, management and analysis are presented. Transforming data from multiple texts to theoretical conceptualizations, writing skills and dissemination of qualitative research findings suitable to each method are stressed. prereq: 8171 or grad course in qualitative research methods
NURS 8179 - Biophysiological Measurement and Instrumentation in Clinical Research
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Critical issues in measurement and instrumentation for clinical research. Methodological issues and critical appraisal of instruments in the study of biophysiological phenomena. Field observation experiences. prereq: [8173, 8175 or equiv, advanced level stat or concurrent registration is required (or allowed) in advanced level stat] or instr consent
HINF 5430 - Foundations of Health Informatics I
Credits: 3.0 [max 3.0]
Typically offered: Every Fall & Spring
An introductory survey of health informatics, focusing on foundational concepts. Topics covered include: conceptualizations of data, information, and knowledge; current terminologies, coding, and classification systems for medical information; ethics, privacy, and security; systems analysis, process and data modeling; human-computer interaction and data visualization. Lectures, readings, and exercises highlight the intersections of these topics with electronic health record systems and other health information technology. prereq: Junior, senior, grad student, professional student, or instr consent
HINF 5431 - Foundations of Health Informatics II
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
An introductory survey of health informatics, focusing on applications of informatics concepts and technologies. Topics covered include: health informatics research, literature, and evaluation; precision medicine; decision models; computerized decision support systems; data mining, natural language processing, social media, rule-based system, and other emerging technologies for supporting 'Big Data' applications; security for health care information handling. Lectures, readings, and exercises highlight the intersections of these topics with current information technology for clinical care and research. prereq: Junior, senior, grad student, professional student, or instr consent
FSOS 8105 - Family Gerontology
Credits: 3.0 [max 3.0]
Typically offered: Periodic Spring
Integrates gerontology and family studies; new lines of inquiry, qualitative and quantitative, into aging families. Family gerontological research, family relationships, family and long-term care institutions, theoretical frameworks and research methods, and research and interventions. prereq: 4154 or equiv or instr consent
GERO 5100 - Topics in Gerontology
Credits: 0.5 -4.0 [max 10.0]
Typically offered: Periodic Fall, Spring & Summer
Timely topics related to the biology, sociology, and psychology of aging and applied aging services.
GERO 5111 - Studying Aging and Chronic Illness
Credits: 2.0 [max 2.0]
Typically offered: Every Fall
Methodological issues unique to studies of older populations. Focuses on measurement of epidemiological characteristics. Health conditions/disorders of older Americans. prereq: Introductory course in epidemiology or instr consent
GERO 5125 - Gerontology Service Learning
Credits: 1.0 -3.0 [max 3.0]
Typically offered: Every Fall, Spring & Summer
At least 100 hours of service to seniors or organizations serving seniors required. Longitudinal one-on-one relationship with at least two seniors. Service activities may include: friendly visiting, escorting seniors to medical appointments, chore services, teaching health education to groups of seniors and staff, participating in social or recreational activities with seniors, assisting with immunization and screening programs, assisting seniors with selection of health plans, or providing volunteer home health aide or nursing assistant services or emergency non-medical response under the supervision of a nurse. Students may use up to 25 percent of their service time for project that benefits the campus as a whole. Reading, monthly class discussions, a term paper and weekly self-reflection
GERO 8021 - Application of Proteomics to Aging
Credits: 1.0 [max 1.0]
Typically offered: Fall Odd Year
Proteomic technology in aging research. Faculty/student led discussions on topics relevant proteomic research. Overview of special techniques/analytical approaches complementary to proteomics, hands-on experience with data analysis, discussion of literature. prereq: [Grad students, post-doctoral fellows involved in National Institutes on Aging training grant Functional Proteomics of Aging] or grad students or post-doctoral fellows with instr consent
GERO 8022 - Fostering a Career in Aging Research
Credits: 1.0 [max 1.0]
Course Equivalencies: Gero 8022/RSC 8022
Typically offered: Spring Odd Year
Prepare pre-doctoral students/post-doctoral fellows for next step in academic career. Student/faculty led discussions on preparing for job interviews, including composing CV/cover letter, preparing grant applications/manuscripts, developing course syllabus based on biology of aging. prereq: Grad students/post-doctoral fellows involved in National Institutes on Aging training grant Functional Proteomics of Aging or grad students or post-doctoral fellows with instr consent
GERO 8023 - Aging Policy Seminar
Credits: 2.0 [max 2.0]
Prerequisites: Grad student or # [recommended to have taken GERO 5105]
Grading Basis: S-N only
Typically offered: Every Fall
Topics chosen to match student interest. Potential issues include Medicare, Medicaid, Social Security, policies about long-term care, preventive care for older people, employment discrimination, ethical topics. Run seminar on topic of choice, write follow-up paper. prereq: Grad student or instr consent [recommended to have taken GERO 5105]
PUBH 6904 - Nutrition and Aging
Credits: 2.0 [max 2.0]
Typically offered: Every Summer
Current literature on nutrition needs/factors affecting nutritional status of adults and the elderly. Relevant community resources. prereq: Grad student or professional school student or instr consent
PUBH 6320 - Fundamentals of Epidemiology
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
This course provides an understanding of basic methods and tools used by epidemiologists to study the health of populations.
PUBH 6341 - Epidemiologic Methods I
Credits: 3.0 [max 3.0]
Course Equivalencies: PubH 6320PubH /6341
Grading Basis: A-F only
Typically offered: Every Fall
Introduction to epidemiologic concepts and methods: (1) Study design (randomized trials and observational studies); (2) Measures of exposure-disease association; (3) Casual inference and bias; (4) Confounding and effect modification.
PUBH 6810 - Survey Research Methods
Credits: 3.0 [max 3.0]
Grading Basis: OPT No Aud
Typically offered: Every Spring
Theory/application of survey research in data collection. Sampling, item development, instrument design/administration to conduct survey or be aware of issues related to design/implementation. Identification of sources of error in survey research.
PUBH 7250 - Designing and Conducting Focus Group Interviews
Credits: 1.0 [max 1.0]
Grading Basis: OPT No Aud
Typically offered: Every Spring & Summer
Interactive, intensive overview of focus group procedures for public/non-profit environments. Practical approaches to determining appropriate use of focus groups. Design options, developing questions, recruiting participants, moderating. Analyzing/reporting results.
EPSY 5245 - Advanced Survey Data Analysis for Categorical and Rating Scale Data
Credits: 1.0 [max 1.0]
Typically offered: Periodic Spring
Practical course. Specific nature of survey data (typically categorical or ordinal). Appropriate data analytic methods. prereq: 5244, 5261
EPSY 8264 - Advanced Multiple Regression Analysis
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
General linear model used as context for regression. Matrix algebra, multiple regression, path analysis, polynomial regression, standardized regression, stepwise solutions, analysis of variance, weighted least squares, logistic regression. prereq: [8252 or equiv], regression/ANOVA course, familiarity with statistical analysis package
EPSY 8265 - Factor Analysis
Credits: 3.0 [max 3.0]
Prerequisites: [8252 or equiv or #]
Typically offered: Every Fall
Factor analytic techniques/applications. Component, common factor, confirmatory analysis. Factor extraction, estimating number of dimensions. Rotation, factor scores, hierarchical factor analysis. prereq: [8252 or equiv or instr consent]
EPSY 8266 - Statistical Analysis Using Structural Equation Methods
Credits: 3.0 [max 3.0]
Prerequisites: 8265, [8252 or equiv]
Typically offered: Periodic Spring
Quantitative techniques using manifest/latent variable approaches for analysis of educational/social science data. Introduction to structural equation modeling approaches to multiple regression, factor analysis, path modeling. Developing, estimating, interpreting structural equation models. prereq: 8265, [8252 or equiv]
EPSY 8268 - Hierarchical Linear Modeling in Educational Research
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Conceptual framework of hierarchical linear models for nested data, their application in educational research. Nature/effects of nested data, logic of hierarchical models, mixed-effects models. Estimation/hypothesis testing in these models, model-checking, nonlinear models. prereq: [8252 or equiv]
NURS 5115 - Nursing Informatics and Digital Health Technologies
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
This course will provide an introduction to the field of nursing informatics and its role in supporting care processes to ensure safe, high-quality, and efficient healthcare. Nurses, as members of multidisciplinary healthcare teams, play an important role in the implementation and governance of these informatics and digital health tools. Skills on using data from these tools to generate knowledge, drive decision-making, and support equitable access to quality, safe care will be shared. Nurse contributions in using digital technologies, influencing policies, and emerging trends in the field will be discussed.
NURS 7600 - Nursing Research and Evidence Based Practice
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Examination of evidence based nursing including types and levels of evidence, research process, critique, and synthesis of research studies, and the science of implementation. prereq: Completion of or concurrent enrollment in a 3 credit inferential statistics course
NURS 6102 - Family Health Theory
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall
Emerging theory in family nursing science, related theories. Research on family systems for structuring systemic framework to examine clinical problems related to family health care. Applies family health theories to selected phenomena of interest to health care. prereq: 6200 or instr consent
NURS 7200 - Economics of Health Care
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring & Summer
Economic theories of health care in relation to health disparities and global health. Financing strategies, payment systems, and their effect on doctor/nursing practice. prereq: Admission to DNP program
NURS 7300 - Program Planning and Evaluation
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
A critical analysis of methods for practical program planning and evaluation for advanced nursing professionals in leadership roles; includes evaluation of approach and design, intervention processes including stakeholder issues, measurement issues, and strategies to evaluate outcomes achievement. prereq: Admission to DNP program or instr consent
NURS 7900 - Scholarly Teaching and Learning in Nursing
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Spring & Summer
Critical analysis of teaching-learning theories and evidence about elements that comprise effective teaching in diverse populations in order to design and evaluate the quality of plans for educational experiences that facilitate achievement of desired learner outcomes in nursing.
NURS 7904 - Nursing Education Practicum
Credits: 2.0 [max 2.0]
Grading Basis: OPT No Aud
Typically offered: Every Fall
Design, implementation, and evaluation of evidence-based, scholarly teaching and learning in various nursing education contexts. Analysis of select nursing program in relation to meeting standards for accreditation and various other expected outcomes of nursing programs. prereq: Graduate student in nursing or Nurs 7900 or equivalent.
NURS 8195 - Mixed Methods Research
Credits: 2.0 [max 3.0]
Typically offered: Every Fall
Synthesis of of qualitative and quantitative approaches in research designs. Evaluation of major mixed method designs and strategies for evaluating quality based on criteria. Data collection and analysis strategies for integrating quantitative and qualitative findings will be explored. prereq: NURS 8141
NURS 8185 - Qualitative Data Analysis for Health Care Research
Credits: 3.0 -4.0 [max 4.0]
Typically offered: Every Spring
Qualitative analysis techniques for descriptive, interpretive, and analytic data including data preparation, management and analysis are presented. Transforming data from multiple texts to theoretical conceptualizations, writing skills and dissemination of qualitative research findings suitable to each method are stressed. prereq: 8171 or grad course in qualitative research methods
NURS 8179 - Biophysiological Measurement and Instrumentation in Clinical Research
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Critical issues in measurement and instrumentation for clinical research. Methodological issues and critical appraisal of instruments in the study of biophysiological phenomena. Field observation experiences. prereq: [8173, 8175 or equiv, advanced level stat or concurrent registration is required (or allowed) in advanced level stat] or instr consent
HINF 5430 - Foundations of Health Informatics I
Credits: 3.0 [max 3.0]
Typically offered: Every Fall & Spring
An introductory survey of health informatics, focusing on foundational concepts. Topics covered include: conceptualizations of data, information, and knowledge; current terminologies, coding, and classification systems for medical information; ethics, privacy, and security; systems analysis, process and data modeling; human-computer interaction and data visualization. Lectures, readings, and exercises highlight the intersections of these topics with electronic health record systems and other health information technology. prereq: Junior, senior, grad student, professional student, or instr consent
HINF 5431 - Foundations of Health Informatics II
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
An introductory survey of health informatics, focusing on applications of informatics concepts and technologies. Topics covered include: health informatics research, literature, and evaluation; precision medicine; decision models; computerized decision support systems; data mining, natural language processing, social media, rule-based system, and other emerging technologies for supporting 'Big Data' applications; security for health care information handling. Lectures, readings, and exercises highlight the intersections of these topics with current information technology for clinical care and research. prereq: Junior, senior, grad student, professional student, or instr consent
FSOS 8105 - Family Gerontology
Credits: 3.0 [max 3.0]
Typically offered: Periodic Spring
Integrates gerontology and family studies; new lines of inquiry, qualitative and quantitative, into aging families. Family gerontological research, family relationships, family and long-term care institutions, theoretical frameworks and research methods, and research and interventions. prereq: 4154 or equiv or instr consent
GERO 5100 - Topics in Gerontology
Credits: 0.5 -4.0 [max 10.0]
Typically offered: Periodic Fall, Spring & Summer
Timely topics related to the biology, sociology, and psychology of aging and applied aging services.
GERO 5111 - Studying Aging and Chronic Illness
Credits: 2.0 [max 2.0]
Typically offered: Every Fall
Methodological issues unique to studies of older populations. Focuses on measurement of epidemiological characteristics. Health conditions/disorders of older Americans. prereq: Introductory course in epidemiology or instr consent
GERO 5125 - Gerontology Service Learning
Credits: 1.0 -3.0 [max 3.0]
Typically offered: Every Fall, Spring & Summer
At least 100 hours of service to seniors or organizations serving seniors required. Longitudinal one-on-one relationship with at least two seniors. Service activities may include: friendly visiting, escorting seniors to medical appointments, chore services, teaching health education to groups of seniors and staff, participating in social or recreational activities with seniors, assisting with immunization and screening programs, assisting seniors with selection of health plans, or providing volunteer home health aide or nursing assistant services or emergency non-medical response under the supervision of a nurse. Students may use up to 25 percent of their service time for project that benefits the campus as a whole. Reading, monthly class discussions, a term paper and weekly self-reflection
GERO 8021 - Application of Proteomics to Aging
Credits: 1.0 [max 1.0]
Typically offered: Fall Odd Year
Proteomic technology in aging research. Faculty/student led discussions on topics relevant proteomic research. Overview of special techniques/analytical approaches complementary to proteomics, hands-on experience with data analysis, discussion of literature. prereq: [Grad students, post-doctoral fellows involved in National Institutes on Aging training grant Functional Proteomics of Aging] or grad students or post-doctoral fellows with instr consent
GERO 8022 - Fostering a Career in Aging Research
Credits: 1.0 [max 1.0]
Course Equivalencies: Gero 8022/RSC 8022
Typically offered: Spring Odd Year
Prepare pre-doctoral students/post-doctoral fellows for next step in academic career. Student/faculty led discussions on preparing for job interviews, including composing CV/cover letter, preparing grant applications/manuscripts, developing course syllabus based on biology of aging. prereq: Grad students/post-doctoral fellows involved in National Institutes on Aging training grant Functional Proteomics of Aging or grad students or post-doctoral fellows with instr consent
GERO 8023 - Aging Policy Seminar
Credits: 2.0 [max 2.0]
Prerequisites: Grad student or # [recommended to have taken GERO 5105]
Grading Basis: S-N only
Typically offered: Every Fall
Topics chosen to match student interest. Potential issues include Medicare, Medicaid, Social Security, policies about long-term care, preventive care for older people, employment discrimination, ethical topics. Run seminar on topic of choice, write follow-up paper. prereq: Grad student or instr consent [recommended to have taken GERO 5105]
PUBH 6904 - Nutrition and Aging
Credits: 2.0 [max 2.0]
Typically offered: Every Summer
Current literature on nutrition needs/factors affecting nutritional status of adults and the elderly. Relevant community resources. prereq: Grad student or professional school student or instr consent
PUBH 6320 - Fundamentals of Epidemiology
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
This course provides an understanding of basic methods and tools used by epidemiologists to study the health of populations.
PUBH 6341 - Epidemiologic Methods I
Credits: 3.0 [max 3.0]
Course Equivalencies: PubH 6320PubH /6341
Grading Basis: A-F only
Typically offered: Every Fall
Introduction to epidemiologic concepts and methods: (1) Study design (randomized trials and observational studies); (2) Measures of exposure-disease association; (3) Casual inference and bias; (4) Confounding and effect modification.
PUBH 6810 - Survey Research Methods
Credits: 3.0 [max 3.0]
Grading Basis: OPT No Aud
Typically offered: Every Spring
Theory/application of survey research in data collection. Sampling, item development, instrument design/administration to conduct survey or be aware of issues related to design/implementation. Identification of sources of error in survey research.
PUBH 7250 - Designing and Conducting Focus Group Interviews
Credits: 1.0 [max 1.0]
Grading Basis: OPT No Aud
Typically offered: Every Spring & Summer
Interactive, intensive overview of focus group procedures for public/non-profit environments. Practical approaches to determining appropriate use of focus groups. Design options, developing questions, recruiting participants, moderating. Analyzing/reporting results.
EPSY 5245 - Advanced Survey Data Analysis for Categorical and Rating Scale Data
Credits: 1.0 [max 1.0]
Typically offered: Periodic Spring
Practical course. Specific nature of survey data (typically categorical or ordinal). Appropriate data analytic methods. prereq: 5244, 5261
EPSY 8264 - Advanced Multiple Regression Analysis
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
General linear model used as context for regression. Matrix algebra, multiple regression, path analysis, polynomial regression, standardized regression, stepwise solutions, analysis of variance, weighted least squares, logistic regression. prereq: [8252 or equiv], regression/ANOVA course, familiarity with statistical analysis package
EPSY 8265 - Factor Analysis
Credits: 3.0 [max 3.0]
Prerequisites: [8252 or equiv or #]
Typically offered: Every Fall
Factor analytic techniques/applications. Component, common factor, confirmatory analysis. Factor extraction, estimating number of dimensions. Rotation, factor scores, hierarchical factor analysis. prereq: [8252 or equiv or instr consent]
EPSY 8266 - Statistical Analysis Using Structural Equation Methods
Credits: 3.0 [max 3.0]
Prerequisites: 8265, [8252 or equiv]
Typically offered: Periodic Spring
Quantitative techniques using manifest/latent variable approaches for analysis of educational/social science data. Introduction to structural equation modeling approaches to multiple regression, factor analysis, path modeling. Developing, estimating, interpreting structural equation models. prereq: 8265, [8252 or equiv]
EPSY 8268 - Hierarchical Linear Modeling in Educational Research
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Conceptual framework of hierarchical linear models for nested data, their application in educational research. Nature/effects of nested data, logic of hierarchical models, mixed-effects models. Estimation/hypothesis testing in these models, model-checking, nonlinear models. prereq: [8252 or equiv]