PP279: RESEARCH DESIGN AND DATA COLLECTION
FOR PUBLIC POLICY ANALYSIS
Professor Robert MacCoun
642-7518, maccoun@ berkeley.edu
Fall 2006: Tuesdays and Thursdays, 2-3:30, 105 GSPP (the new bldg.)
(Office Hours: by appt.)
The online version of this syllabus is at http://socrates.berkeley.edu/~maccoun/PP279_f06.html
Please see the online version for the most up-to-date version; I will announce
any revisions in class.
COURSE DESCRIPTION
Empirical arguments and counterarguments play a central role in policy
debates, thus public policy analysis requires a sophisticated understanding of
a variety of types and sources of data. Quantitative analysis courses teach you
how to analyze data; this course will introduce you to strategies of data
collection and principles for critically evaluating data collected by others.
Topics include measurement reliability and validity, questionnaire design, sampling,
experimental and quasi-experimental program evaluation designs, qualitative
research methods, and the politics of data in public policy.
Carmines, E. G., & Zeller, R. A. (1979). Reliability
and Validity Assessment. Quantitative Applications in the Social Sciences
#17. Newbury Park, CA: Sage Publications.
Converse, J., & Presser, S. (1986). Survey
Questions. Quantitative Applications in the Social Sciences #63. Newbury
Park, CA: Sage.
Kalton, G. (1983). Introduction to Survey
Sampling. Quantitative Applications in the Social Sciences #35. Newbury
Park, CA: Sage.
Shadish, W. R., Cook, T. D., & Campbell, D. T. (2001). Experimental and Quasi-Experimental Designs For Generalized Causal Inference. Houghton Mifflin. [If you are interested, my review of this book appears here: http://socrates.berkeley.edu/~maccoun/JPAM_2003_BookRev.pdf.]
ASSIGNMENTS (see due dates in Schedule at
end of syllabus)
1) Survey proposal
(http://socrates.berkeley.edu/~maccoun/PP279_proposal1.html)
2) Program evaluation proposal/group
briefing: http://socrates.berkeley.edu/~maccoun/PP279_proposal2.html
NOTE: The readings are NOT in a reader; they are online at http://socrates.berkeley.edu/~maccoun/PP279.html
The Philosophy of Science and the Politics of Data (First Look)
MacCoun, R. (1998). Biases in the interpretation and use of research results, Annual Review of Psychology, 49, 259-287. http://socrates.berkeley.edu/~maccoun/MacCoun_AnnualReview98.pdf
MacCoun, R. J. (2001). American
distortion of Dutch drug statistics. Society, 38, 23-26. [Note that there
was a "distortion" introduced in typesetting: Second-to-last sentence
should read "Accuracy won't invariably breed consensus," rather than
"Accuracy will invariably breed consensus."]
http://socrates.berkeley.edu/~maccoun/Society2001_DistortionDutchDrugStats.pdf
Describing the World: Surveys and Other
Measures
Asking Questions
Converse & Presser’s Sage booklet
Krosnick, Jon A. (1999). Survey research. Annual Review of Psychology, 50, 537-567.
http://arjournals.annualreviews.org/doi/pdf/10.1146/annurev.psych.50.1.537
Schaeffer, Nora Cate, & Presser,
http://socrates.berkeley.edu/~maccoun/PP279_SchaefferPresser2004.pdf
OPTIONAL READING The following article is somewhat difficult, but it makes an important theoretical point about attitude strength and also illustrates the multi-trait/multi-method approach discussed next week:
Krosnick, J. et al., (1993). Attitude strength: One construct or many related constructs? Journal of Personality & Social Psychology. 65(6) 1132-1151.
http://socrates.berkeley.edu/~maccoun/PP279_Krosnick.pdf
Reliability and Validity (basic
psychometrics)
Rob’s memo on coefficient alpha:
http://socrates.berkeley.edu/~maccoun/CoefAlpha.pdf
Rob’s memo on how low reliability weakens the ability to detect relationships (e.g., program effects)
http://socrates.berkeley.edu/~maccoun/PredictiveValidity.pdf
Carmines & Zeller’s Sage booklet
Neisser, U., et al. (1996). Intelligence: Knowns and unknowns. American Psychologist, 51, 77-101.
http://socrates.berkeley.edu/~maccoun/PP279_Neisser1.pdf
Neisser’s reply to critics of that article
are at: http://socrates.berkeley.edu/~maccoun/PP279_Neisser2.html
Flynn, James R., Searching for justice: The discovery of IQ gains over time.
American Psychologist. 1999 Jan Vol 54(1) 5-20.
http://socrates.berkeley.edu/~maccoun/PP279_Flynn.pdf
Schmitt, Neal, Uses and abuses of coefficient alpha.
Psychological Assessment. 1996 Dec Vol 8(4) 350-353.
http://socrates.berkeley.edu/~maccoun/PP279_Schmitt.pdf
OPTIONAL: Kuncel, N.
R., Hezlett, S. A., Ones, D. S. (2001). A comprehensive meta-analysis of the
predictive validity of the graduate record examinations: Implications for
graduate student selection and performance. Psychological Bulletin. 127(1)
162-181.
http://socrates.berkeley.edu/~maccoun/PP279_GRE.pdf
OPTIONAL: Lubinski, D. (2000). Scientific and social significance of assessing
individual differences: "Sinking shafts at a few critical points." Annual
Review of Psychology, 51, 405-444.
http://arjournals.annualreviews.org/doi/pdf/10.1146/annurev.psych.51.1.405
Survey Sampling
Kalton's Sage booklet.
Rob’s memo on computing sample sizes. http://socrates.berkeley.edu/~maccoun/pp279_samplesize.pdf
Tourangeau, Roger (2004). Survey research and societal change. Annual Review of Psychology, 55, 775-801.
http://socrates.berkeley.edu/~maccoun/PP279_Tourangeau2004.pdf
Magnani, R., Sabin, K., Saidel, T., & Heckathorn, D. (2005). Review of sampling hard-to-reach and hidden populations for HIV surveillance. AIDS 2005, 19, S67-S72. http://socrates.berkeley.edu/~maccoun/PP279_Magnani.pdf
OPTIONAL BUT RECOMMENDED: Birnbaum, Michael H. (2004). Human research and data collection via the internet. Annual Review of Psychology, 55, 803-832.
http://arjournals.annualreviews.org/doi/full/10.1146/annurev.psych.55.090902.141601
Marshall, G.N., Burnam, M. A., Koegel, P., Sullivan, G., & Benjamin B. (1996). Objective Life Circumstances and Life Satisfaction: Results from the Course of Homelessness Study. Journal of Health and Social Behavior, Vol. 37, No. 1. (Mar., 1996), pp. 44-58. [Note: This paper has a very interesting sampling strategy for a difficult to sample population; it also has a nice example of multiple-indicator measurement of latent constructs. And two of the authors attended my wedding!]
http://socrates.berkeley.edu/~maccoun/PP279_Marshall.pdf
Inferring Cause and
Effect: Experimental and Quasi-Experimental Design
Dealing with Threats to Internal Validity
Shadish, Cook, &
OPTIONAL: Sander
http://arjournals.annualreviews.org/doi/full/10.1146/annurev.publhealth.22.1.189
OPTIONAL: A. G. Barnett, J. C. Van der Pols, & A. J. Dobson (2005). Regression to the mean: What it is and how to deal with it. Int. J. Epidemiology, 34, 215-220. http://socrates.berkeley.edu/~maccoun/PP279_Barnett.pdf
Quasi-Experiments
Shadish, Cook, &
OPTIONAL: Mark W. Lipsey and David S. Cordray (2000). Evaluation Methods for Social Intervention. Annual Review of Psychology, 51, 345-375. http://arjournals.annualreviews.org/doi/full/10.1146/annurev.psych.51.1.345
OPTIONAL: Joseph P. Newhouse and Mark McClellan (1998). Econometrics in outcomes research: The use of instrumental variables. Annual Review of Public Health, 19, 17-34. http://arjournals.annualreviews.org/doi/full/10.1146/annurev.publhealth.19.1.17
Dealing with Threats to Statistical Conclusion Validity
Rosnow, R. L., and Rosenthal, R. (1989). Statistical procedures and the justification of knowledge in psychological science. American Psychologist, 44, 1276-1284. PP279_Rosnow.pdf
Cohen, Jacob The earth is round (p < .05). American Psychologist. 1994
Dec Vol 49(12) 997-1003
Cohen, J. (1992b). A power primer. Psychological Bulletin, 112, 155-159.
OPTIONAL: Lenth R. (2001). Some practical guidelines for effective sample size determination. The American Statistician, 55, 187-193.
http://socrates.berkeley.edu/~maccoun/PP279_Lenth.pdf [NOTE: LENTH AND COHEN DISAGREE ABOUT SOME ISSUES; WE CAN DISCUSS THE POINTS OF DISAGREEMENT IN CLASS]
OPTIONAL: Christopher Winship and Stephen L. Morgan (1999). The estimation of causal effects from
observational data Annu. Rev.
Sociol., 25, 659-706. http://arjournals.annualreviews.org/doi/full/10.1146/annurev.soc.25.1.659
OPTIONAL: Roderick J. Little and Donald B. Rubin (2000). Causal effects in clinical and epidemiological studies via potential outcomes: Concepts and analytical approaches. Annual Review of Public Health, 21, 121-145. http://arjournals.annualreviews.org/doi/full/10.1146/annurev.publhealth.21.1.121
Here are some useful web-based power calculators. I recommend you verify your results using more than one calculator. I also recommend that you create a table and solve for N under a variety of assumptions about alpha and effect size.
http://www.dssresearch.com/toolkit/spcalc/power.asp
http://home.clara.net/sisa/power.htm
http://www.stat.uiowa.edu/~rlenth/Power/index.html
http://www.psycho.uni-duesseldorf.de/aap/projects/gpower/
Dealing with Threats to External
Validity
Shadish, Cook, &
Schmidt, F. L. (1992). What do data really mean? Research findings, meta-analysis, and cumulative knowledge in psychology. American Psychologist, 47, 1173-1181. PP279_Schmidt.pdf
Hunter, John E.; Schmidt, Frank L., Cumulative research
knowledge and social policy formulation: The critical role of meta-analysis.
Psychology, Public Policy, & Law. 1996 Jun Vol 2(2) 324-347 PP279_Hunter.pdf
OPTIONAL: R. Rosenthal and M. R. DiMatteo (2001). Meta-analysis: Recent developments in quantitative methods for literature reviews. Annual Review of Psychology, 52, 59-82. http://arjournals.annualreviews.org/doi/full/10.1146/annurev.psych.52.1.59
Qualitative Methods
Shadish, W. R. (1995). Philosophy of science and the quantitative-qualitative debates: Thirteen common errors. Evaluation and Program Planning, 18, 63-75.
http://socrates.berkeley.edu/~maccoun/PP279_Shadish.pdf
Morgan, G., & Smircich, L. (1980). The case for qualitative research. The
http://socrates.berkeley.edu/~maccoun/PP279_Morgan.pdf
David L. Morgan (1996). Focus groups. Annual Review of Sociology, 22, 129-152.
http://arjournals.annualreviews.org/doi/full/10.1146/annurev.soc.22.1.129
PP279 SCHEDULE OVERVIEW – FALL 2006
|
Week |
Day |
Date |
Topic |
|
|
1 |
Tues |
Aug 29 |
Course overview |
|
|
|
Thurs |
Aug 31 |
Philosophy vs. politics |
|
|
2 |
Tues |
Sep 5 |
Asking questions |
|
|
|
Thurs |
Sep 7 |
Asking questions |
|
|
3 |
Tues |
Sep 12 |
Asking questions |
|
|
|
Thurs |
Sep 14 |
Intro to psychometrics |
|
|
4 |
Tues |
Sep 19 |
Measurement reliability |
|
|
|
Thurs |
Sep 21 |
Measurement validity |
|
|
5 |
Tues |
Sep 26 |
Survey sampling |
|
|
|
Thurs |
Sep 28 |
NO CLASS* |
HW due Fri Sep 29, 5pm |
|
6 |
Tues |
Oct 3 |
Survey sampling |
|
|
|
Thurs |
Oct 5 |
Survey sampling |
PR#1 preposal due |
|
7 |
Tues |
Oct 10 |
Special populations |
|
|
|
Thurs |
Oct 12 |
Threats to internal
validity |
|
|
8 |
Tues |
Oct 17 |
Threats to internal
validity |
|
|
|
Thurs |
Oct 19 |
Experimentation |
|
|
9 |
Tues |
Oct 24 |
Experimentation |
|
|
|
Thurs |
Oct 26 |
Quasi-experimentation |
PR#1 due Fri Oct 27, 5pm |
|
10 |
Tues |
Oct 31 |
Quasi-experimentation |
|
|
|
Thurs |
Nov 2 |
NO CLASS* |
|
|
11 |
Tues |
Nov 7 |
Stat conclusion validity |
|
|
|
Thurs |
Nov 9 |
Stat conclusion validity |
PR#2 preposal due |
|
12 |
Tues |
Nov 14 |
Threats to external
validity |
|
|
|
Thurs |
Nov 16 |
Threats to external
validity |
|
|
13 |
Tues |
Nov 21 |
Qualitative methods |
|
|
|
Thurs |
Nov 23 |
THANKSGIVING |
|
|
14 |
Tues |
Nov 28 |
Group briefings |
|
|
|
Thurs |
Nov 30 |
Group briefings |
|
|
15 |
Tues |
Dec 5 |
Group briefings |
|
|
|
Thurs |
Dec 7 |
Group briefings |
|
|
FinalsWk |
|
|
|
PR#2 due Thu Dec 14, 5pm |
|
|
|
|
||
|
|
* We will schedule a special evening makeup session (pizza?) if needed. |
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Last revised on 5/3/07