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NonparametricTest - Data Analysis in Psychology - Lecture Slides, Slides of Advanced Data Analysis

Nonparametric Test, Distribution Free Tests, Assumptions of Normality, Focus on Medians, Affected by Outliers, Reduce Power, Two Independent Groups, Ratio Nor Interval, Least Ordinal, Same Distribution. These are the important points of Psychology.

Typology: Slides

2012/2013

Uploaded on 01/01/2013

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Nonparametric Test
Distribution-Free Tests
1. No assumptions of normality
2. Focus on medians rather than means
3. Not affected by outliers
4. Des NOT really reduce power
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Nonparametric Test

Distribution-Free Tests

1. No assumptions of normality

2. Focus on medians rather than means

3. Not affected by outliers

4. Des NOT really reduce power

Mann-Whitney U Test

  1. Test for two independent groups
  2. Assumptions for t-test cannot be made
  3. Data is neither ratio nor interval
  4. Data must be at least ordinal
  5. Tests if two groups have the same distribution n1 = # of cases in the smaller of the groups n2 = # of cases in the larger of the groups E = experimental group membership C = control group membership e.g., E scores = 11,15,9 and C scores = 6,8,13, Rank order all scores with group ID 6C,8C,9E,10C,11E,13C,15E Count # of Es that precede each C: U = 0 + 0 +1 + 2 = 3 Go top table for P under Null Hypothesis associated with the data; n1 = 3, n2 = 4, U = 3 U equal or greater than 3 p = .20 Thus, fail to reject at alpha .05.

K-W (H)

H N N Rni N

i

2

( ) (^ )

K = # of groups n = number of cases in a group N = total number of cases R = sum of ranks in a group

H = 14 14^12 + 1 225 + 375 + 464 − 3 14 + 1

2 2 2

( ) [^ (^ )

This is tested against Chi-Squared (k-1) df. Go to Chi-Squared Table , with 2 df and alpha.

Friedman’s Test for k related samples

One-way repeated measures

Example Patients Psy(rank) drug(rank) psy/drug(rank) 1 6(2) 8(3) 5(1) 2 4(1) 8(3) 6(2) 3 9(3) 7(2) 4(1) 4 5(2) 4(1) 6(3) 5 2(1) 7(3) 3(2) 6 6(1) 8(3) 7(2) 7 7(2) 9(3) 5(1) 8 4(1) 8(3) 5(2) 9 6(3) 5(2) 4(1) 10 72) 8(3) 6(1) Totals 18 26 16

Χ 2 F^ = Nk N (^12 + 1 ) ∑ R j^2 − 3 N k ( + 1 )

N = # of patients

= 10 3( )( )^12 4 ( 18 2 + 26 2 + 16 2 ) −3 10( )( ) 4

This is test against Chi-Squared (k-1) df. Fail to reject at alpha .05.