School of Public Health
University of California, Berkeley
Second
Year DrPH Seminar
PB HLTH
293-02, Spring, 2008
Course
Control # 76349 (section 02)
Wednesday, 12:00
pm to 2:00 pm
Tolman 2523
|
Instructors: |
Norman
A. Constantine, PhD
237 University Hall
(925) 284-8118
|
Cheri
Pies, DrPH 237
University Hall (925)
313-6254 |
Course Description
This
course is the second of a two-semester seminar sequence for second year DrPH
students. We will focus in more depth this semester
on scientific foundations for research, research design and critical appraisal
of evidence and of research validity, and application issues for a variety research
methods. We also will focus on student completion and presentation of
prospectuses and preparation for orals.
This is a 3 credit course, however students may enroll for more or
fewer credits with special permission. Grading is Satisfactory/Unsatisfactory.
Competencies
and Objectives
Participation in this course will provide an
opportunity to partially master the following competencies:
By the
end of the semester, students will achieve the following objectives:
Class Assignments
Each
of the eight methods sections has a set of assigned readings to be completed prior
to the session. Short questions and scenarios to respond to will be assigned
each week related to the readings and to students’ own research, to be turned
in before class. A brief (approximately two single-spaced pages) methodological
critique of a published article from the student’s dissertation literature
review will be due by April 16.
Student
prospectus presentations will involve 15 minute Power Point presentations
followed by 30 minutes of questions and discussion. These will be scheduled for
the last third of the semester. Key expectations for the presentations are (1)
to plan and manage time appropriately so that the presentation ends within 15
minutes without a rush through the ending, (2) employment of Power Point slides
in a lively and effective manner that includes good use of simple and
compelling charts and pictures, and avoids too many slides, crowded slides, and
slides with more than a few words of text.
For
each of Norm’s eight methodological sessions, including the first session on
January 23, students are expected to come prepared to class having completed
the assigned readings and the short written exercise.
Class Schedule
(tentative, subject to change)
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January 23 |
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January 30 (Cheri
out) |
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February 6 |
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February 13 |
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February 20 |
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February 27 (Norm out) |
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March 5 |
·
Mixed
methods (qualitative and quantitative) |
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March 12 |
· Experimental, quasi-experimental, and correlational research designs |
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March 19 |
· Issues in significance testing, effect sizes, confidence intervals, and
sample size estimation
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March 26 |
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April 2 (Cheri out) |
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April 9 |
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April 23 |
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April 30 |
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May 7 (Cheri out) |
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Course Readings
A
comprehensive resource list of research methods readings is maintained by Norm
and can be accessed via: http://crahd.phi.org/PH293ReadingList.htm.
Most articles and chapters on this list can be downloaded by clicking the
appropriate reference on the list. Some are open access, some require that you
be logged on through the University or proxy server, and others will require a
separate class password to be provided at the first session. Many of the books
listed can be checked out of the DrPH Seminars Library at the Health Research
for Action Center on the 10th floor of the Wells Fargo Building, see
William Brown, HRA office manager.
Specific
assigned readings for the research methods sessions are as listed below. These
can be downloaded from the reading list or from the electronic version of this
syllabus. Please study these materials carefully prior to the session for which
they are assigned. Possible updates to these readings might be made as the
class progresses.
January 23:
Principles of scientific inquiry (review), and
theoretical frameworks
Phillips,
D.C. (2000). Chapter 8 (Popperian rules for research design). View
Green, J. (2000). The role of theory in evidence-based health promotion practice. [editorial]. Health Education Research, 15(2), 125-129. View
Review from last semester
Shavelson, R. & Towne, L. (Eds.) (2002). Guiding
principles for scientific inquiry. In Scientific research in education.
National Research Council Committee on Scientific Principles for Education
Research, Washington, DC: National Academy Press. (Chapter 3). View
Recommended
Campbell, D. T. (1984) Can we be scientific in applied social science? In R. F. Conner and others (eds.), Evaluation Studies Review Annual. Vol. 9. Beverly Hills, CA: Sage. View
Tebes, J.K. (2005). Community science, philosophy of science, and the practice of research. American Journal of Community Psychology, 35, 213-230. View. (recommended by Dawn)
January 30: Clues to the puzzle of scientific
evidence, critical appraisal of evidence
Phillips, D.C. (2000). Preface, and Chapter 6 (New philosophy of science). View
Haack, S. (2003). Preface, and Chapter 3 (Clues to the puzzle of scientific evidence: A more so story). View
Gorman, D.M. (2003). Prevention programs and scientific nonsense. Policy Review, 117. View
Review from last semester
Campbell (1989/2003) and Yin (2000). Brief excerpts on Plausible rival
hypotheses: Core of the scientific method. (2 pages) View
February 6: Issues in causal inference (download both)
Constantine, N. A & Braverman, M. T. (2004). Appraising evidence on
program effectiveness. In M. T.
Braverman, N. A. Constantine, and J. K. Slater (Eds.), Foundations and evaluation: Contexts and practices for effective
philanthropy. (Chapter 12). San Francisco: Jossey-Bass. View
Constantine, N. A. (2005). Do virginity pledges cause virginity? (Web
discussion).
http://crahd.phi.org/VirginityPledgesFAQ.html
Rutter, M. (2003).
Poverty and mental health: Natural experiments and social causation. (Editorial).
Journal of the American Medical
Association, 290, 2063-2064. View
Recommended classics
Hill, A. B. (1965).
The environment and disease: association or causation? Proceedings of the Royal Society of Medicine, 58, 295-300. View
Cornfield,
J. (1959) Smoking and lung cancer: recent evidence and a discussion of
some questions. Journal of the
National Cancer Institute, 22, 173-203. http://crahd.phi.org/Cornfield1959SmokingLungCancer.pdf
(large scanned pdf file, might take three or more minutes to download).
February 13: Case study methods
Yin, R. (1998). The abridged version of case study research: Design and method. In L. Bickman and D. Rog (Eds.), Handbook of applied social research methods. (pp. 229-259). Thousand Oaks, CA: Sage. View
Yin R. (2000) Rival explanations. In L. Bickman (Ed.) Validity and social experimentation: Donald Campbell’s legacy. (Vol. 1). Thousand Oaks, CA: Sage. View
Constantine,
N. A. & Nevarez, C. R. (2006). Multiple-case study on evidence use in the
sex education debates: The interacting roles of values, beliefs, and collateral
information. (hypotheses and methods). Excerpts from funded proposal to the W.T. Grant Foundation. View
February 20: Qualitative research methods
Review,
from last semester
Optional
Patton,
M. Q. (2002). Qualitative research and evaluation methods. (3rd
edition). Thousand Oaks, CA: Sage.
(types
of purposeful
sampling: pp.
230-246). View
(large scanned file)
March 5: Mixed
methods (qualitative and quantitative)
Reichardt, C. S. & Rallis, S. F. (1994). The relationship between the qualitative and quantitative research traditions; Qualitative and quantitative inquiries are not incompatible. New Directions for Program Evaluation, 61, 5-11, 85-91. View
Letourneau,
N. & Allen, M. (1999). Post-positivistic critical multiplism: a beginning
dialogue. Journal of Advanced Nursing,
30, 623-630. View
Morgan, D. L. (1998). Practical strategies for combing qualitative and quantitative methods: Applications to health research. Qualitative Health Research, 8(3), 362-376. View
March 12: Experimental, quasi-experimental, and
correlational research designs
Reichardt,
C. S. & Mark, M. M. (1998). Quasi-experimentation. In L. Bickman & D.
J. Rog (eds.), Handbook of applied social research methods. Thousand
Oaks, CA: Sage. (pp. 193-228).
March 19: Significance testing, effect sizes,
confidence intervals, and sample size
Bower, B. (1997). Null science:
Psychology’s statistical status quo draws fire. Science News, 151, 356-357. View
Cohen, J. (1994). The
earth is round (p < .05). American Psychologist, 49,
997–1003. View
Cohen,
J. (1992). A Power Primer. Psychological Bulletin, 112(1), 155-159. View
April 2/ April 16: Issues in multiple regression analysis and
other linear models
Pedhazur, E. J. (1997). [Prediction and explanation (pp.
195-198, 211).] View
Victora, et al.
(1997). The role of conceptual frameworks in epidemiological analysis: A
hierarchical approach. International
Journal of Epidemiology, 26(1):224-227. View
Osborne, J. & Elaine W. (2002). Four assumptions of multiple
regression that researchers should always test. Practical Assessment,
Research & Evaluation , 8(2). View
Review of basics (if needed)
Trochim, W. M. (2000).
The general linear model. The Research
Methods Knowledge Base, (2nd Edition). Link (very brief
overview)
Trochim, W. M.
(2000). Analysis of covariance designs. The
Research Methods Knowledge Base, (2nd Edition). Link (very brief
overview)
Pedhazur, E. J. & Schmelkin, L. P. (1991). [Multiple regression analysis (pp.
413-428]. View