Faculty Profile: Lisa Kelly

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Lisa Kelly

School: Mind-Body Medicine

Bio:
Lisa Kelly, PhD, directs the mentoring program for Mind-Body Medicine students, oversees online learning practices for the College, and is an instructor for the Health and Wellness Coaching course, the Mind-Body Medicine Overview course, the Professional Seminar course and the Imagery for Health course. Lisa earned a PhD in Psychology with a concentration in Consciousness and Spirituality from Saybrook in 2007. She has been a personal, professional and academic life coach since 1998. Dr. Kelly also serves as an adjunct faculty member and thesis chair at Adler Graduate School. Dr. Kelly has published phenomenological research on the lived experience of altruism and helping behavior, and has substantial experience designing and facilitating online courses.

Curriculum Vitae

Degrees, Discipline, Year, Institution

  • Ph.D. in Psychology with a concentration in Consciousness and Spirituality, February, 2007
  • Saybrook Graduate School and Research Center
  • San Francisco, California
     
  • Master of Arts degree in Human Development, October, 1999
  • Saint Mary’s University
  • Minneapolis, Minnesota
     
  • Bachelor of Science degree in Quantitative Methods and
  • Information Systems, Summa cum Laude, Phi Kappa Phi, Beta Gamma Sigma, November, 1983
  • Saint Cloud State University
  • Saint Cloud, Minnesota

Current Projects and Professional Activities

 November 2008 – Present Part-time Faculty Member Saybrook Graduate School and Research Center, San Francisco, California October 2007 – Present Psychology Faculty University of Phoenix Online, Phoenix, Arizona Facilitate online courses for the Master’s of Psychology program. August 1998 - Present Life Coach - Authentic Life Coaching Provide structure, support, encouragement, accountability and feedback to clients as they identify and achieve personal, professional and academic goals that are in alignment with their core values and life purpose.

Research Interests

N/A

Research Expertise

My primary research experience is with Phenomenology, but I also have worked with Saybrook students using other qualitative and quantitative methods, including narrative research, thematic analysis and grounded theory. My undergraduate degree was in quantitative methods, so I have some experience and comfort with survey studies and statistical analysis.

Expertise Working with Saybrook Students

I have worked extensively with Saybrook students in the last phases of their Ph.D. journey's, helping them to clarify their research focus as well as to create a structure and format to complete their essays, practicum and dissertation projects in a timely manner.

Research Expertise

Research Expertise Rating Guide:

  1. studied in a class or have read intensively on my own
  2. special training in the form of a workshop or equivalent
  3. taught a class in, or supervised research using this method (research practicum, on a dissertation or master's committee
  4. used in research myself
  5. published or presented at conferences my research using this method

Methods Traditionally Considered As Quantitative (But Need Not Be)

Laboratory Research
Field Experiments
Randomized Controlled Clinical
Quasi-experimental methods
Correlational Methods

Methods That Could Use Quantitative Or Qualitative Methods

Action Research
Survey Research
Interview Research
Observational Research
Epidemiological Research
Ethnography
Focus Groups
Self-Observational Methods
Narrative Methods
Feminist Methods
Content Analysis
Discovery-Oriented (psychotherapy)
Events paradigm (psychotherapy)
Archival Research
Case History Methods
Appreciative Inquiry
Multiple Case Depth Research
Hermeneutic Single Case Efficacy Design
Longitudinal research
Cross-sectional research

Methods Primarily Associated With Qualitative Research (But May Also Use Quantitative)

Ethnoautobiographical research
Hermeneutics
Grounded Theory
Phenomenology
Heuristic Research

Types of Analysis

Simple Parametric Statistics (t-test, etc.)
Confidence intervals
Analysis of Variance (including MANOVA)
Analysis of Covariance
Regression (including multiple regression)
Discriminant Function Analysis
Structural Equation Modeling/Path Analysis
Causal Modeling
Cluster Analysis
Survival Analysis
Nonparametrics
Bayesian Analysis
Meta-analysis and effect sizes
Factor Analysis
Time series analysis
Multidimensional scaling