Date:  5/2/08

CLASS: The Meta-Analysis and Conjoint PowerPoints are in Section 6 below; Updated handouts (including Multidimensional Scaling and Structural Equaltion Modeling) are in Section 4.

Materials:

1.  Syllabus and class assignments:

    Syllabus

     Data Handling Assignment #1--Scale Construction

     Data Handling Assignment #2--Partialling

    Data Handling Assignment #3--"5 Stats"

     Take-home Midterm Exam

     Group Assignments for Class Presentations

     Final Data Analysis Project Assignment

     Final Exam
 

2.  Links to Class Data Sets

National Community Study 2006 (Jeffres)

HumorGroup Study (Neuendorf, Skalski, Powers)

Color vs. Black-and-White Film Experiment (Denny)

 

3.  SPSS tips from past student assistants

    1.   Editing Axis Labels for Histograms

    2.   Specifying Missing Data

    3.   Creating Scales
 

4.  Class Handouts (pdf unless noted)

    1.  Selecting Appropriate Statistics  (from Neuendorf book)
           Page 1   (gif)
           Page 2   (gif)

    2.  Questionnaire Construction

    3.  Scale Construction

    4.  Reliability and Validity

    5.  Cronbach's alpha (from Carmines & Zeller)

    6.  Open-ended Coding:  Codes for Racial/Ethnic Background

    7.  Normal Curve Areas

    8.  Probability

    9.  Combinations and permutations

    10.  Power, Type I and Type II Error

    11.  Standard Deviation

    12.  Standard Error and Confidence Intervals

    13.  The Chi-Square

    14.  The t-test

    15.  Bivariate Correlation

    16.  Covariance/Correlation (from Blalock)

    17.  Linear Regression

    18.  Two-factor ANOVA (from Williams)

    19.  Eta squared (from Tabachnick & Fidell)

    20.  Moments about the Mean

    21.  Transforming Data

    22.  Controlling for a Third Variable

    23.  Factor Analysis

    24.  Multiple Regression:  Beginnings

    25.  Multiple Regression

    26.  Adjusted R-squared (from Cohen & Cohen)

    27.  Dummy and Effects Coding

    28.  Power for Partial Coefficients (from Cohen & Cohen)

    29.  Discriminant Analysis

    30.  Logistic Regression

    31.  MANOVA/MANCOVA

    32.  Post Hoc Tests (a primer)

    33.  Canonical Correlation

    34.  Cluster Analysis

    35.  Multidimensional Scaling

    36.  Structural Equation Modeling

     37.  Optional reading:
        "Soft Sciences are Often Harder than Hard Sciences," Discover
            magazine, 1987

    38.  Optional reading:
          "Matrix Algebra" (from Pedhazur)

    39.  Data Transformation and Selection--RECODE and COMPUTE
            syntax for SPSS

   40.  SPSS Data Transformation Syntax--Some Examples

    41.  "Salt Passage Research: The State of the Art," Journal of Communication, 1976

5.  Sample Tables and Write-ups

    1.  Factor Analysis

    2.  Multiple Regression

    3.  Discriminant Analysis

    4.  Logistic Regression

    5.  MANOVA

    6.  MANCOVA

    7.  Canonical Correlation

    8.  Cluster Analysis

    9.  Multidimensional Scaling

    10.  Structural Equation Modeling
 
 

6. 2008 In-Class Presentations (all pdf unless otherwise noted)

1. Dr. Neuendorf Presents "Factor Analysis"

2. Dr. Skalski Presents "Multiple Regression"

3. Amanda & Melanie Present "Discriminant Analysis"

4. Jia & Lingli Present "Logistic Regression"

5. Dawnnay & Jen Present "MANOVA"

6. Han & Zlatko Present "MANCOVA"

7. Mike & Jim Present "Canonical Correlation"

8. Anna, Kim, Pete, & Erika Present "Cluster Analysis"

9. Sharon, Clare, & Cary Present "Multidimensional Scaling"

10. Dr. Skalski's PowerPoint Presentation on "Meta-Analysis"

11. Rod Antilla's (ABR Research) PowerPoint Presentation on "Conjoint Analysis)

 

7.  Links

    a.  Cleveland Chapter of the American Statistical Association

    b.  SPSS

     c.  StatNotes, an Online Textbook, by G. David Garson at
            North Carolina State University

     d.  A number of different online statistics glossaries:

             StatSoft Glossary

             Internet Glossary of Statistical Terms (basic)

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