Faculty Profile: Stephen Khamsi

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Stephen Khamsi

Dr. Stephen Khamsi is a licensed Marriage and Family Therapist (CA #MFC8500), a lifetime member of CAMFT, and a long-time affiliate of the APA. Since 1976 Stephen has conducted a private psychotherapy practice in Northern California. Also, as a credentialed Instructor and Counselor for the California Community College system, he's taught courses in Psychology, Human Sexuality, and Death and Dying for nearly 30 years. He has worked at Saybook since 2002, currently as an instructor, an essay reader, and a committee member. Stephen is interested in many issues (e.g., human sexuality, death and dying, emotional expression in psychotherapy, the sociology of mental illness) and his articles and reviews have appeared in the Humanistic Psychology Institute Review, Aesthema, The PPPANA Journal, The Journal of Prenatal and Perinatal Psychology & Health, Primal Renaissance, and The Journal of Psychohistory.

Curriculum Vitae

Upcoming Presentations and Public Addresses

College instruction at Santa Rosa Junior College (Human Sexuality; Aging, Dying and Death).

Degrees, Discipline, Year, Institution

Ph.D., Psychology, 1985, Saybrook Graduate School & Research Center.

M.A., Psychology, 1976, Sonoma State University.

B.A., Sociology and Psychology (double major), "With Highest Honors," 1975, Sonoma State University.

Current Projects and Professional Activities

 Dr. Khamsi is a licensed Marriage and Family Therapist in California, and has been in private practice in San Francisco and the North Bay for 30 years.  In addition, he has been an academic advisor at Saybrook Graduate School since 2002.

Current Publications

Khamsi, S. (2007, Spring). Mind the gap: A review of Arthur Janov’s Primal healing. IPA Newsletter, 11.


Khamsi, S. (2005, Summer). Swords and knives: A review of Alice Miller’s The body never lies. IPA Newsletter, 8-9.


Khamsi, S. (2002, Summer). The APA's Emotion: The people vs. power, profits, prestige and prescriptions. IPA Newsletter, 8-9.









Significant Publications

Khamsi, S. (1981). The primal paradigm. Humanistic Psychology Institute Review, 3(2), 51-60.


Khamsi, S. (1984). Primal perspectives in psychotherapy. Aesthema, 4, 7-24


Khamsi, S. (1985). Psychoanalysis, birth and before. PPPANA Journal, 1(1), 6-10.









Important Conference Presentations


Research Interests

The phenomenology of feeling, emotional expression in psychotherapy, the influence and encroachment of pharmaceutical corporations, and issues pertaining to human sexuality and death and dying.

Research Expertise

My dissertation research involved the phenomenology of emotion in depth psychotherapy.

Expertise Working with Saybrook Students

Academic advising and information about licensure, based on 20 years of teaching and 30 years of clinical practice.

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
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
Grounded Theory
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
Bayesian Analysis
Meta-analysis and effect sizes
Factor Analysis
Time series analysis
Multidimensional scaling