465 Adv Stats

Dr, Marelich Office Hours:
Tues 11:15am - 2:15pm
1-hour via Email - wmarelich@fullerton.edu

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Lecture Outline So Far (2019)

Lecture Outline 465

I.  Basic Probability
    A) Laws of Probability
    1) Additive Law
    2) Multiplicative Law
    B) Conditional Probability
    C) Continuous vs. Discrete Data (also brief on nominal data)
    D) Working with Discrete Data
          1) Permutations
    2) Combinations
    E) Binomial & Binomial Distribution
           1) Exact Probability applying the Binomial
    2) Hypothesis Testing applying the Binomial

II.  Review of Chi-Square
    A) Goodness of Fit (one-dimensional table)
    B) Test of Independence (2 by X dimensional table)
    C) Partitioning Method
    D) Reading Summary Data into SPSS, SAS, R
    E) Assumptions Chi-Square
    F) Fisher's Exact Test
    G) Odds Ratio
    H) Stratification for Known Groups

III.  Review of Correlation
    A) Purpose
    B) Assumptions
    C) Pearson Correlation

IV. Review of the t-test
    A) Mechanics (what the test assess)
    B) Independent Samples t-test
    C) Assumptions
    D) Applied Examples

V.  Brief Overview of Effect Size Meaning based on 'r'

VI. Review of One-way ANOVA
    A) Mechanics
    B) One-way ANOVA
    C) Assumptions
    D) Family-wise Error Concersn
    E) Follow-up Tests
         A) Multiple Comparison Procedures
             -Fisher
             -Tukey
             -Scheffe
             -Dunnett
         B) Planned Comparisons
             -a priori
             -orthogonal contrasts
     F) Eta^2 (% variance accounted for), Eta (Effect)
     G) Structural Formula

VII. Factorial ANOVA
     A) Structural Formula for two-way ANOVA
     B) Assumptions
     C) Main effects and follow-up tests (similar to One-way)
     D) Interaction Effects & Moderators
        -Simple Effects testing
        -Scheffe test as follow-up to sig simple effects with 3+ means
     E) Eta^2 for all effects, effect sizes
     E) Condition Effect
     F) Sum of Squares Type III and Type I
        -Type III is unweighted means analysis (standard)
        -Type I is weighted means analysis, used for Analysis of Covariance
     G) Three-way ANOVA

VIII. Repeated Measures
     A) Partitioning variance to isolate subject effects
     B) Structural formula
     C) One-way within design
          -post-hoc tests, Bonferroni adj alpha level
     D) Assumptions
     E) Between-within designs
          -compared to Gain or Differences scores
          -ANCOVA option
          -chat about simple main effects testing
          -chat about moderators
     D) 2x2 all within design

IX. Multiple Regression
     A) OLS ideology and model
     B) Direct or forced entry approach
         -Interp of OLS regression components (model, slope, intercept)
         -semi-partial regression coeffs vs. BETAs
         -f^2 statistic for power
     C) Assumptions
     D) Chat on hierarchical approach
     E) Statistical Approaches (Backward, Forward, Stepwise)
     F) Suppression
 

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SAS Code to Add to Syntax:
ods listing;
ods html close;
ods graphics off;

Reading an SPSS portable file into SAS:
In SPSS....save the datafile as a Portable file....

Libname you are setting up an internal library called "mylib" -- and using the keyword spss to tell SAS you are reading in a portable file.  My file name here is located in a c:\data\ subdirectory, and the file is called "riskykids.por"   I am then creating a new dataset called "two" using the "data two;" command.  Then I will "set" the portable file info using the very confusing statement "mylib._first_;" then i put a run after it and a proc print it works. 

IF you just figure out WHERE your portable file is, and then copy/paste my syntax below and change the location/name of the portable file, it should all run fine. So the only change you would have would be the file location and name in the libname statement in the '    '

libname mylib spss 'c:\data\riskykids.por';
data two;
set mylib._first_;
run;
proc print;
run;
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