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CHS 212

Winter 2013

CHS 212,syllabus.Winter 2013 FINAL 1

COMMUNITY HEALTH SCIENCES 212

ADVANCED SOCIAL RESEARCH METHODS IN HEALTH

Winter Quarter 2013

Classroom: A1-241 CHS

Day and Time: Monday, Wednesday, Friday 8:00-10:00 A.M.

IBM #: 840-072-200

Prerequisites: CHS 211B, Biostat 100B, Biostat 406

Instructor: Linda B. Bourque, Ph.D. [email protected]

Office: 41-230 CHS

Office Hours: Monday and Wednesday, 10:00-11:30 A.M.

Reader: Melissa Kelley

Office: 41-230 CHS

Office Hours: TBA

Web Site: http://ccle.ucla.edu

Readings

Required

1. Donald J. Treiman, Quantitative Data Analysis: Doing Social Research to Test Ideas.

John Wiley & Sons, 2009.

2. Morris Rosenberg, The Logic of Survey Analysis. NY: Basic Books, Inc., 1968. This

book is out of print, and will be available on the web site.

Other materials are referenced in the course schedule and should be considered as needed.

Many of these are available on the web site.

On Web Site:

1. Aday, L.A, Cornelius, Designing and Conducting Health Surveys, A Comprehensive

Guide, 3rd

Edition, Chapter 4, Thinking Through the Relationships Between Variables, pp.

81-99, San Francisco: Jossey-Bass, 2006.

2. The American Association for Public Opinion Research. 2009. Standard Definitions:

Final Dispositions of Case Codes and Outcome Rates for Surveys. 6th

edition. Lenexa,

Kansas: AAPOR.

3. Becker, H.S, Geer, B. Participant Observation: The Analysis of Qualitative Field Data. IN:

Adams, R.N., Preiss, J.J. Human Organization Research: Field Relations and Techniques.

Homewood, Illinois: The Dorsey Press, Inc., 1960, pp. 267-289.

4. Betson, D.M., Citro, C.F., Michael, R.T. Recent Developments for Poverty Measurement

in U.S. Official Statistics. Journal of Official Statistics 2000; 2:87-111.4.

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5. Binson, D., Canchola, J.A., Catania, J.A. Random Selection in a National Telephone

Survey: A Comparison of the Kish, Next-Birthday, and Last-Birthday Methods. Journal

of Official Statistics 2000; 16:53-59.

6. Bourque, L.B. “Coding.” In M.S. Lewis-Beck, A. Bryman, T.F. Liao, Editors, The Sage

Encyclopedia of Social Science Research Methods, Volume 1, Thousand Oaks, CA: Sage

Publications, 2003, pp. 132-136.

7. Bourque, L.B. “Coding Frame.” In M.S. Lewis-Beck, A. Bryman, T.F. Liao, Editors, The

Sage Encyclopedia of Social Science Research Methods, Volume 1, Thousand Oaks, CA:

Sage Publications, 2003, pp. 136-137.

8. Bourque, L.B. “Transformations.” In M.S. Lewis-Beck, A. Bryman, T.F. Liao, Editors,

The Sage Encyclopedia of Social Science Research Methods. Volume 3, Thousand Oaks,

CA: Sage Publications, 2003, pp. 1137-1138.

9. Davis, J.A. Elementary Survey Analysis. Englewood Cliffs, NJ: Prentice-Hall, Inc., 1971.

10. Dixon, J. K. Statistical Methods for Health Care Research , 2nd

Edition, Chapter 14,

Grouping Techniques, pp. 245-274., J.P. Lippincott, 1993.

11. Engelhart, R. The Kish Selection Procedure. Unpublished document. Institute for Social

Science Research, Survey Research Center, UCLA, no date.

12. Gaziano, C. Comparative Analysis of Within-Household Respondent Selection

Techniques. Public Opinion Quarterly 2005; 69:124-157.

13. Kalton, G. Developments in Survey Research in the Past 25 Years. Survey Methodology

2000; 26:3-10.

14. McKennell, A.C. Attitude scale construction. In O’Muircheataugh, C.A., Payne, C. (eds.),

Exploring Data Structures, Vol. I: The Analyses of Survey Data. London: John Wiley &

Sons, 1977, pp. 182-220.

15. Munro, B.H., E.B. Page. Statistical Methods for Health Care Research, 2nd

Edition,

Chapter 14, Grouping Techniques, 1993, pp. 245-274.

16. Rosenberg, M. The Logic of Survey Analysis. NY: Basic Books, Inc., 1968.

17. U.S. Department of the Interior, Geological Survey. U.S. Department of the Interior,

Geological Survey, Earthquake Report, no date.

18. Wallis, W.A., Roberts, H.V. How to read a table. In Statistics: A New Approach. The Free

Press, 1956, pp. 270-279.

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Readings—Recommended Books

1. Afifi, A.A., May, S., Clark, V.A., Practical Multivariate Analysis, 5th Edition. NY:

Chapman & Hall, 2011.

2. Bourque, L.B., Clark, V.A. Processing Data: The Survey Example. Newbury Park, CA:

Sage Publications, 1995.

3. Bourque, L.B., Fielder, E.P. How to Conduct Self-Administered and Mail Surveys, 2nd

Edition. Thousand Oaks, CA: Sage Publications, 2003.

4. Bourque, L.B., Fielder, E.P. How to Conduct Telephone Surveys, 2nd

Edition. Thousand

Oaks, CA: Sage Publications, 2003.

5. Davis, J. The Logic of Causal Order. Thousand Oaks, CA: Sage Publications, 1985.

Readings on Disasters 1. Background readings on disasters that you might want to use as resources. Most are

available in the University Research Library.

1) Alexander, D. Natural disasters: A framework for research and teaching. Disasters

15(3):209-226, 1991.

2) American Behavioral Scientist 13:323-456, 1970; Special issue on disaster.

3) Barton, A.H. Communities in Disaster. Garden City, NY: Doubleday & Co., 1969.

4) Bolin, R., Stanford, L. Shelter, housing and recovery: A comparison of U.S.

disasters. Disasters 15(1):24-34, 1991.

5) Bourque, L.B., Cherlin, A., Reeder, L.G. Agencies and the Los Angeles

earthquake. Mass Emergencies 1:217-228, 1996.

6) Bourque, L.B., Mileti, D.S., Kano, M., Wood, M. M. Who prepares for terrorism ?

Environment and Behavior 2012; 44(3): 374-409. published online 2 December

2010, DOI: 10.1177/0013916510390318.

7) Bourque LB, Regan R, Kelley MM, Wood MM, Kano M, Mileti DS. An Examination of

the Effect of Perceived Risk on Preparedness Behavior. Environment and Behavior,

Published online March 26, 2012. Available at

http://eab.sagepub.com/content/early/2012/03/21/0013916512437596.

8) Bourque, L.B., Russell, L.A., Goltz, J.D. Human behavior during and immediately

after the earthquake. The Loma Prieta, California, Earthquake of October 17,

1989--Public Response. United States Geological Service (USGS) Professional

Paper 1553-B, 1993.

9) Bourque, L.B., Shoaf, K.I., Nguyen, L.H. Survey research. International Journal

http://eab.sagepub.com/content/early/2012/03/21/0013916512437596

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of Mass Emergencies and Disasters 15:71-101, 1997.

10) Burby, R.J., Editor, Cooperating with Nature, Confronting Natural hazards with

Land-Use Planning for Sustainable Communities. Joseph Henry Press,

Washington, D.C., 1998.

11) Drabek, T.E., Key, W.H. The impact of disaster on primary group linkages. Mass

Emergencies 1: 89-105, 1976.

12) Fritz, C.E. Disaster. In Merton, R.K., Nisbet, R.A. (eds.), Contemporary Social

Problems. NY: Harcourt, Brace & World, Inc., 1961, pp. 651-694.

13) Glass, R.I., Urrutia, J.J., Sibony, S. et al. Earthquake injuries related to housing in

a Guatemalan village. Science 197-638-643, 1977.

14) Goltz, J.A., Russell, L.A., Bourque, L.B. Initial response to a rapid onset disaster:

A case study of the October 1, 1987 Whittier Narrows earthquake. International

Journal of Mass Emergencies and Disasters 10(1):43-69, 1992.

15) Kano M, Wood MM, Bourque LB, Mileti DS. Terrorism Preparedness and Exposure

Reduction since 9/11: The Status of Public Readiness in the United States. Journal of

Homeland Security and Emergency Management 2011; 8. DOI:10.2202/1547-7355.1807.

Available at: http://www.bepress.com/jhsem/vol8/iss1/37.

16) Koenig, K.L, Schultz, C.H. Disaster Medicine: Comprehensive Principles and

Practices. Cambridge University Press, 2010.

17) Kunreuther, H., R.J. Roth, Editors, Paying the Price, The Status and Role of

Insurance Against Natural Disasters in the United States. Washington, D.C.,

Joseph Henry Press, 1998.

18) Lechat, M.F. The international decade for natural disaster reduction: Background

and objectives. Disasters 14(1):1-6, 1990.

19) Lindell, M.K., Perry, R.W. Household adjustment to earthquake hazard: A review

of research. Environment and Behavior 32: 590-630.

20) Lindell, M.K., Arlikatti, S., Prater, C.S. Why people do what they do to protect

against earthquake risk: Perceptions of hazard adjustment attributes. Risk Analysis

29: 1072-1088, 2009.

21) Logue, J.N. Disasters, the environment, and public health: Improving our response.

Am J Public Health 86(9):1207-1210, 1996.

22) Mileti, D.S. Human adjustment to the risk of environmental extremes. Sociology

and Social Research 64(3):327-347, 1980.

http://www.bepress.com/jhsem/vol8/iss1/37

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23) Mileti, D.S. Disasters by Design, A Reassessment of Natural Hazards in the

United States. Washington, D.C., Joseph Henry Press, 1999.

24) Mileti, D.S., Fitzpatrick, C. The causal sequence of risk communication in the

Parkfield Earthquake Prediction Experiment. Risk Analysis 12(3):393-400, 1992.

25) Pantelic, J. The link between reconstruction and development. Land Use Policy

October:343-347, 1991.

26) Perry, R.W. Evacuation decision-making in natural disasters. Mass Emergencies

4:25-38, 1979.

27) Perry, R.W. The Social Psychology of Civil Defense. Lexington, MA: Lexington

Books, 1982.

28) Quarantelli, E.L., Dynes, R.R. Response to social crisis and disaster. Annual

Review of Sociology 2:23-49, 1977.

29) Rodríguez, H., Quarantelli, E.L., Dynes, R.R. Handbook of Disaster Research.

New York City, NY: Springer, 2006.

30) Russell, L.A., Goltz, J.D., Bourque, L.B. Preparedness & hazard mitigation actions

before and after two earthquakes. Environment & Behavior 27(6):744-770, 1995.

31) Tierney, K.J., M.K. Lindell, R.W. Perry. Facing the Unexpected, Disaster

Preparedness and Response in the United States. Washington, D.C., Joseph Henry

Press, 2001.

32) Trainer, P., Bolin, R. Persistent effects of disasters on daily activities: A cross-

cultural comparison. Mass Emergencies 1:279-290, 1976.

33) Wood MM, Kano M, Mileti DS, Bourque LB. Reconceptualizing Household Disaster

Readiness: The “Get Ready” Pyramid. Journal of Emergency Management. 2009; 7(4):

25-37.

34) Wood, M.M., Mileti, D.S.,Kano, M., Kelley, M. M., Regan, R., Bourque, L.B.

Communicating actionable risk for terrorism and other hazards. Risk Analysis.

2012; 32:601-615. Published online:

http://onlinelibrary.wile.com/doi/10.1111/j.1539-6924.2011.01645.x/pdf.

2. Other readings of possible interest.

1) Bailar, B.A. The Past is Prologue. Survey Methodology 2000; 26:21-30.

2) Bellhouse, D.R. Survey Sampling Theory Over the Twentieth Century and its

Relation to Computing Technology. Survey Methodology 2000; 26:11-20.

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3) Stevens, G., Cho, J.H. Socioeconomic indexes and the New 1980 Census

Occupational Classification Scheme. Social Science Research 14:142-168, 1985.

4) Stevens, G., Featherman, D. A revised socioeconomic index of occupational status.

Social Science Research 10:364-395, 1981.

5) U.S. Census, Questions on Race/Ethnicity, 2000, 2010.

3. The data set, questionnaire, and specifications for the National Survey of Disaster

Experiences and Preparedness will be downloaded from the web during the first lab [See

section D. Data Set of this syllabus].

4. American Psychological Association. Publication Manual (5th edition). Washington,

D.C., 2001. (Resource; available in libraries or Student Store, Ackerman Union.)

I have never found a textbook that ideally fulfills the needs of this course. The books listed above

will cover some of the topics quite well and others not at all. Supplementary handouts which may

help in some cases will be provided when available. Over the quarter, I will post handouts and

computer setups on the web site.

I have suggested the point at which some textbook materials may be most relevant. You should,

however, use the materials as you need them. I recommend scanning all the material within the

first couple of weeks, then referring back as needed. You will undoubtedly use the National

Survey questionnaires and specifications most frequently. These will be downloaded from the

web during a lab session from

http://www.sscnet.ucla.edu/issr/da/earthquake/erthqkstudies2.index.htm.

5. Other materials on the web site.

1. Constructing a Code Frame. This includes some examples from past studies. The same

materials were available for M 218.

http://www.sscnet.ucla.edu/issr/da/earthquake/erthqkstudies2.index.htm

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Course Requirements

A. Assignments 1-3

Assignments 1-3 are each worth 10% of the final grade. These assignments are designed to

acquaint you with getting data ready for analysis, and with computer processing of data using a

subset of items from the National Survey of Disaster Experiences and Preparedness data set.

1. Create coding frames for questionnaire responses. Six actual questions or sets of

questions from the National Survey for Disaster Experiences and Preparedness are

used. The raw data represent answers given by 31 of 3,300 respondents.

Handed out: January 7. Due on January 14.

2. Use the data set for the National Survey for Disaster Experiences and

Preparedness. Input the data set, make selected transformations in data, and

obtain frequency distributions for specified variables.

Available on the web: January 14. Due on January 23.

3. Data manipulation, transformation, processing, and computation using SPSS.

Available on the web: January 23. Due on February 15.

B. Assignments 4-5

Assignments 4 and 5 are each worth 20% of the final grade. These assignments are designed to

facilitate work on your term paper (Assignment 6) by providing the preliminary analysis of your

topic or problem using the National Survey for Disaster Experiences and Preparedness data set.

Assignments 4 and 5 require that you identify and conduct analyses relevant to your own research

problem. Assignment 4 also assesses your growing expertise with the elaboration model. The

research question that you develop in assignments 4-6 is due on February 22.

4. Elaboration Model and Bivariate data analysis.

Available on the web: February 15 Due on March 8.

5. Scaling: The creation of composite measures.

Available on the web: March 8. Due on March 15 OR with Assignment 6

on March 20.

C. Assignment 6

A required 10- to 15-page (text) paper, worth 30% of the final grade. In this paper, you identify a

research problem of interest, develop a theoretical rationale, pursue a plan of data analysis, and

present and critique the results. The topic (statement of the research question to be addressed) is

due on February 22. The paper must include finished tables with proper titles, headings, and

footnotes to present the data. Attached printout is NOT acceptable. The paper should also

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include one or more figures (as relevant). Before starting this paper, you should familiarize

yourself with some of the publications on disaster research. Due on March 20 at 5:00 P.M.

Grading Requirements for Term Paper

1. The paper should be written as if you were writing for publication. If you need a

reference, use the American Psychological Association Manual.

2. It should include a brief introduction describing the purpose of your analysis (the

research question) and making reference to some appropriate literature, theoretical

structure, and concepts. References should be included as appropriate and should

include some previous disaster research. Do not include a lengthy literature

review, but do cite relevant previous work.

3. There must be a brief methods section in which you describe the characteristics of

the data set, the sample, the actual variables used in your analysis, and your

analytical strategy. Relevant materials will be made available to assist you here.

You must make clear that this paper is based on secondary analysis of an existent

data set.

4. In the results section, a systematic sequence of analyses should be demonstrated.

The analysis should be logical and technically correct. Some form of multivariate

analysis should be used. Statistics selected for inclusion should be justified and

explained. The analysis should involve some data transformations and

computations and one or more scales or indices. Although it would not normally

be required in a journal article, for purposes of this class you must include

information that describes exactly how you went about making any

transformations you used and printout that demonstrates that the transformations

are indeed correct. Tables and figures should be extracted from printout and

include titles, headings, labels, and the statistical tests used.

5. In the discussion section, an interpretation of the resultant data should be made. In

addition, the limits to the conclusions which can be drawn from the analysis should

be spelled out, including limits to the measures used, limits imposed by the study

design (including the sample), and alternative interpretations should be detailed.

6. Give references for studies cited in the paper.

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Data Set

This class uses data collected for the National Survey of Disaster Experiences and

Preparedness (NSDEP). Under funding from the Department of Homeland Security and the

National Science Foundation and as part of the National Consortium for the Study of Terrorism

and Responses to Terrorism (START) based at the University of Maryland, the University of

California, Los Angeles, conducted a survey of a representative sample of 3,300 households in the

continental United States. Three high visibility areas were over-sampled so that generalizations

could be made to them as well as to the nation as a whole. These areas were New York City, Los

Angeles County, and the greater Washington, D.C., area. Data were collected between April

2007 and February 2008.

The survey was designed to answer four questions.

What have Americans done to prepare for terrorist acts and disasters?

What steps have Americans taken to avoid or reduce exposure to terrorism?

What motivates Americans to prepare for terrorism in particular, disasters in general, and

to avoid terrorism risk?

How can policy and programs to increase public readiness for terrorism accomplish

more?

Based on research and theory about what motivates household readiness behavior, data were

collected on the many factors that might explain public readiness, including past events

experienced; the types, sources and channels over which information had been received; activities

that respondents had observed others’ do; the perceived effectiveness of different preparedness

and avoidance activities; self-reported knowledge about terrorism preparedness; perceived future

risk of disasters that could affect the home, community and nation; perceived resilience of self,

community and nation to future disaster events; perceptions of the completeness and honesty of

information provided by agencies at the local, state and national level; standard demographic

characteristics.

For CHS 212, you will be working with the unweighted data set. The data set is in SPSS.

You will be given a pass word to access the data. The questionnaires and specifications are

available on the Social Science Data Archive website at

http://www.sscnet.ucla.edu/issr/da/earthquake/erthqkstudies2.index.htm. Make sure that you

have a flash drive or CD on which you can download the data and other materials on January

11, 2013.

D. Grading Requirements Relevant for All Assignments

1. The textual section of all assignments must be typed.

2. In turning in any assignment, assume the reader (LBB) knows nothing about what is going

on. I cannot assume you know something if you do not tell me in writing and through the

presentation of your assignment that you do, in fact, know it.

3. Assignments are due on the assigned date. Late assignments will be penalized. You

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cannot afford to fall behind in this class! The quarter simply does not allow you the

luxury of time!

4. As in any class, you start with an assumed grade of B. Completion of all assignments on

time and adequately will maintain that B. Provision of brilliant creative insights and

impeccably presented assignments on all materials turned in may, if consistent for the

entire quarter, earn you an A. Poorly presented work, late assignments, and indication that

you are not doing the work or do not understand it, if consistent for the entire quarter, will

earn you a C or F.

E. Printing

During class time (8-10 AM, MWF) you will be able to print class related materials in the

classroom. The printer is not available at other times of the day or for other jobs.

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WEEK & DATE TOPIC, RELEVANT READINGS, & ASSIGNMENTS


Week 1 Monday Introduction

January 7 Course Requirements

Survey Data as a Source of Information

Secondary Data Sets

Forms of Variables

Handouts

Syllabus

Assignments

HANDED OUT: #1, Creating Code Frames for Responses to

Open-Ended Questions

Readings

1. Bourque and Clark, Chapter 1, Introduction to Data Processing;

Chapter 2, Designing Forms for Data Collection; Chapter 3, Data

Collection and Quality Control.

2. Bourque & Fielder, Chapter 3, User-Friendly Questionnaires and

Response Categories.

3. Becker & Geer, Participant Observation: The Analysis of

Qualitative Field Data.

4. Bourque in The Sage Encyclopedia of Social Science Research.

5. Examples of code frames on the web site.

Week 1 Wednesday Stages in Data Processing

January 9 A. Constructing Code Frames

1. Relationship to Type of Questions

2. Timing of Constructions

3. Relationship to Type of Variables

4. Relationship to Analytical Objectives

B. Transferring Data From Hard Copy to Computer Accessible

Data

1. Data Input

C. Cleaning Data

D. Processing Machine-Readable Data

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Week 1 Wednesday

continued January 9 Readings

1. Afifi, May, Clark, Chapter 2, Characterizing data for

analysis, and Chapter 3, Preparing for data analysis

2. Treiman, Chapter 4, On the Manipulation of Data by

Computer

Friday Description of Study and Sample (LAB #1)

January 11 National Survey of Disaster Experiences and Preparedness

Introduction to the data sets and the Social Science Data Archive

Downloading from the Web (see above)

Data Set, Specifications and Questionnaires

POSTED ON THE WEB SITE

Information About Your Data Set

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Week 2 Monday National Survey on Disaster Experiences and Preparedness,

January 14 continued.

Assignments

DUE: Assignment #1, Construction of Code Frames

AVAILABLE ON THE WEB: Assignment #2, Input of Data and

Creation of Frequency Distributions

Week 2 Wednesday Univariate Analyses

January 16 As part of data processing

Frequency distributions

Graphs

Collapsing categories

Discuss Assignment #1

POSTED ON WEB SITE

Sets 1A, 1B

Week 2 Friday Introduction to SPSS (LAB #2)

January 18

Readings

1. Bourque and Clark, Chapter 4, Data Entry.

2. Afifi, Clark and May, Chapters 2 and 3, Characterizing data for

analysis and Preparing for data analysis.

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Week 3 Monday NO CLASS – MARTIN LUTHER KING, JR., HOLIDAY

January 21

Week 3 Wednesday Univariate Analysis, continued

January 23

Readings

1. Afifi, May, Clark, Chapters 4 and 5, Data screening and

transformations and Selecting appropriate analyses.

2. Treiman, Chapter 4, On the Manipulation of Data by Computer

Assignments

DUE: Assignment #2, Input of Raw Data and Creation of

Frequency Distributions

AVAILABLE ON THE WEB SITE: Assignment #3, Data

Manipulation, Transformation, Processing and Computation

Week 3 Friday Transformations in SPSS (LAB #3)

January 25 Drills on Transformations

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Week 4 Monday Data Manipulation and Modification as a Result of Univariate

January 28 Data Processing and to Set Up Later Analyses

Missing Data

Recoding Variables

Transformations

Computations

Readings

1. Bourque and Clark, Chapter 5, Data Preparation for Analysis.

2. Afifi, May, and Clark, Chapter 4, Data screening and data

transformations.

Week 4 Wednesday Data Manipulation, continued

January 30

ON WEB SITE

Count vs. Sum vs. Mean

How to get the data for interval variables


February 1 Drills on Transformations

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Week 5 Monday Univariate Analysis to:

February 4 Create and Restructure Files

Select Subfiles and Subsets for Analysis

Description vs. Inference

Replicate

Set Up Conditional Relationships

ON WEB SITE

Set AB: Setting up and checking two independent variables

Measures of Association and Tests of Statistical Significance

Bivariate Analyses

Week 5 Wednesday Univariate Into Bivariate Analysis

February 6

Readings

Treiman, Chapter 1, Cross-Tabulations

ON WEB SITE

Crosstab Examples


February 8

Readings

1. Treiman, Chapter 4, On the Manipulation of Data by Computer

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Week 6 Monday Bivariate Analysis

February 11 Crosstabulation

T-tests

Analysis of Variance

Correlation

Week 6 Wednesday Bivariate Analysis, continued

February 13 Analysis of Variance

T Tests

Readings

1. Afifi, May and Clark, Chapter 6, Simple regression and

correlation.

Week 6 Friday Bivariate Analysis in SPSS (LAB #6)

February 15

Assignments

DUE: Assignment #3, Data Manipulation, Transformation,

Processing, and Computation

AVAILABLE ON THE WEB: Assignment #4, Elaboration Model

and Bivariate Data Analysis

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Week 7 Monday NO CLASS-PRESIDENTS’ DAY HOLIDAY

February 18

Week 7 Wednesday Transformations

February 20

Go over Assignment 3

Week 7 Friday Bivariate Analysis into Elaboration Model (LAB #7)

February 22

Readings

1.Davis, J.A. Elementary Survey Analysis. Englewood Cliffs, NJ:

Prentice-Hall, Inc., 1971 (in reader).

2.Rosenberg, M. The Logic of Survey Analysis. NY: Basic Books,

Inc., 1968 (in reader).

3.Treiman, DJ, Chapters 1-3

DUE: Topic for Paper (Assignment 6)

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Week 8 Monday Elaboration Model, continued (LAB #8)

February 25 Extraneous and Intervening Variables

Week 8 Wednesday Elaboration Model, continued (LAB #9)

February 27 Extraneous and Intervening Variables, continued

Readings

1. Wallis and Roberts, How to Read a Table (in reader).

2. Davis, The Logic of Causal Order.

ON WEB SITE

Examples of a Three-Way Table

Examples of Elaboration Analysis

Examples of Write-up on Elaboration Analysis

Week 8 Friday Elaboration Model, continued (LAB #10)

March 1 Suppression, Distortion

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Week 9 Monday Elaboration Model, continued (LAB #11)

March 4 Log-Linear Models

Readings

Treiman, Chapters 12, Log-Linear Analysis

Afifi, May and Clark, Chapter 17, Log-linear analysis

Week 9 Wednesday Elaboration Model, continued

March 6 Logistic Regression

Readings

Treiman, Chapter 13, Binomial Logistic Regression

Afifi, May and Clark, Chapter 12, Logistic regression

Week 9 Friday Factor Analysis and Reliability with SPSS

March 8

Readings

McKennell, A.C. Attitude scale construction

Treiman, Chapter 11, Scale Construction

Afifi, May and Clark, Chapters 14 and 15, Principal components

analysis and Factor analysis

Assignments

DUE: Assignment #4, Elaboration Model and Bivariate Data

Analysis

AVAILABLE ON THE WEB: Assignment #5, Scaling: The

creation of composite measures

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Week 10 Monday Index Construction (LAB# 12)

March 11

ON WEB SITE

Index Items

Index Construction

Week 10 Wednesday Multivariate Analysis

March 13 Simple Regression

Dummy Variable Analysis

Logistic Regression

Readings

1.Afifi, May and Clark, Chapters 6-8, Simple regression and

correlation; Multiple regression and correlation; Variable selection

in regressions

.

2.Treiman, Chapters 5-7 on correlation and regression analysis

Assignments

March 11, DUE: Assignment #5, Index Construction

Week 10 Friday Multivariate Analysis, continued

March 15

Week 11 Wednesday Assignments

March 20 DUE: Assignment #6, the Research Paper, is due at or before 5:00

P.M.

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OBJECTIVES ASPH COMPETENCIES RELEVANT MATERIALS

Upon completing this course….

Know how to develop code

frames.

K.7. Differentiate between

qualitative and quantitative

evaluation methods in relation

to their strengths, limitations,

and appropriate uses, and

emphases on reliability and

validity.

Communication and

Informatics: The ability to

collect, manage and organize

data to produce information

and meaning that is exchanged

by use of signs and symbols;

to gather, process, and present

information to different

audiences in-person, through

information technologies, or

through media channels; and

to strategically design the

information and knowledge

exchange process to achieve

specific objectives.

Assignment 1

Lectures during first week

Readings by Bourque;

Bourque and Clark; Bourque

and Fielder; Becker and Geer.

Know how to set-up machine-

readable files.

F.1. Describe how the public

health information

infrastructure is used to

collect, process, maintain, and

disseminate data.

Assignment 2

Know how to access

secondary data sets.

C.1. Identify key sources of

data for epidemiologic

purposes.


health information



disseminate data.

LAB #1

Lectures during second week

Know how to manipulate and

process machine-readable data

for analysis.


health information



disseminate data.

Assignment 3

LABS 3-5

Readings by: Treiman; Afifi,

Clark, May; Bourque and

Clark.

Know the purpose and uses of A.4. Distinguish among the LABS 3-5

CHS 212

Winter 2012



univariate analyses, and be

able to conduct univariate

analyses.

different measurement scales

and the implications for

selection of statistical methods

to be used based on these

distinctions.

A.5. Apply descriptive

techniques commonly used to

summarize public health data.

A.6. Apply common statistical

methods for inference.

A.7. Apply descriptive and

inferential methodologies

according to the type of study

design for answering a

particular research question.

Lectures during third and

fourth weeks

Readings by Afifi, Clark and

May; Treiman.

Know, conduct and interpret

bivariate analyses including

crosstabular, t tests and

analysis of variance

A.4. Distinguish among the

different measurement scales

and the implications for

selection of statistical methods

to be used based on these

distinctions.

A.5. Apply descriptive

techniques commonly used to

summarize public health data.

A.6. Apply common statistical

methods for inference.

A.7. Apply descriptive and

inferential methodologies

according to the type of study

design for answering a

particular research question.

C.7. Calculate basic

epidemiology measures.

LAB 6

Lectures during fifth and sixth

weeks

Readings by Treiman

Know and apply the

Elaboration Model in

developing causal analyses.

E.5. Describe steps and

procedures for the planning,

implementation and evaluation

of public health programs,

policies and interventions.

E.8. Apply evidence-based

approaches in the development

and evaluation of social and

behavioral science

interventions.

Assignment 4

LABS 7-11

Lectures during seventh,

eighth, and ninth week

Readings by Rosenberg;

Davis; Aday and Cornelius;

Aneshensel.

Develop and test a simple Assignment 5

CHS 212

Winter 2012



index. Lectures during tenth week

Readings by McKennell;

Treiman

Write the first draft of a

research paper.

A.10. Develop written and oral

presentations based on

statistical analyses for both

public health professionals and

educated lay audiences.

C.10. Evaluate the strengths

and limitations of

epidemiologic reports.

Communication and

Informatics: The ability to

collect, manage and organize

data to produce information

and meaning that is exchanged

by use of signs and symbols;

to gather, process, and present

information to different

audiences in-person, through

information technologies, or

through media channels; and

to strategically design the

information and knowledge

exchange process to

Assignment 6

All lectures, labs, and readings

community health sciences 212 - chs.ph.ucla.edu 212 winter.pdf · chs 212 winter 2013 chs...

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