Download presentation

Presentation is loading. Please wait.

Published byTyler Rodriguez Modified over 4 years ago

1
How to calculate: - Average Effect Size (step 4) - Moderators (step 5)

2
Overview of PPT slides We will first go through how to do this. Then, we will repeat everything and explain why we do each step

3
Overview of Data Analysis Central tendency – Effect size What is the average effect and is it significant? Variability – Homogeneity test Does average affect have variability? (If so, then you test moderators) Prediction Does the average effect differ with moderators?

4
Average effect size (ES) Overview Conceptually… First, transform r into Fishers z-to-r Second, weight them by sample size/inverse variance Third, sum them together Fourth, divide by sum of total sample size. In Practice… You transform r into Fishers z-to-r You calculate inverse variance Then use Macro to do the rest

5
At this point you have: (1) Effect sizes. (2) Sample sizes. (3) moderators

6
Step 1 - Transform r into Fishers z-to-r See formulas from Example-DataSet2

7
Step 2 - Weight by inverse variance See formulas from Example-DataSet2

8
Step 3 - Upload to SPSS in SPSS, file-open

9
Step 4 - Initiate MeanES macro Download from Lipsey/Wilson website Open YOUR DATASET Open a new syntax Put the following at the end of the syntax file INCLUDE 'C:\Documents and Settings\Desktop\metaclub\MeanES.SPS'. Highlight the sentence Click run (blue triangle at top)

10
Step 5 - Calculate MeanES In syntax, type the following sentence: MEANES ES = ES_zr /W = weight /PRINT IVZR. fyi – ES_zr is my name for the effect sizes weight is my name for the weight /PRINT IVZR converts output back to r Highlight and click run

11
Step 6 – Interpret output ES =.1225, p =.0000 Q = 1140.11, p =.0000

12
Now, lets repeat and explain why Transform into Fishers z-to-r Why? r does not have a normal distribution because it is skewed at the tails. Fishers z-to-r has a normal distribution, so it is the preferred metric. Weight by inverse variance Why? The larger the sample size of a particular study, the larger the impact. Weighting by the inverse takes into account sample size. Control for standard error Why? When you weight by the inverse variance, then the standard errors are incorrect, so you cant use the traditional tests within SPSS. The macros by Lipsey/Wilson control for the problem with standard error.

13
Now, lets move to Moderators Overview Conceptually… First, need to ascertain homogeneity which tells you if variance exists in average effect size Can test categorical moderators (categories like college student versus actual juror) similar to ANOVA Can test continuous moderators (such as length of stimulus) similar to Regression In Practice… Use macros Macros exist for ANOVA & Regression

14
Macros for moderators METAF – Categorical Moderators INCLUDE 'C:\Documents and Settings\Desktop\metaclub\MetaF.SPS'. METAF ES = ES_zr /W = weight /GROUP = ev1_subjecttype /PRINT IVZR. METAF – Continuous Moderators INCLUDE 'C:\Documents and Settings\Desktop\metaclub\MetaREG.SPS'. METAREG ES = ES_zr /W = weight /IVS = ev1_subjecttype /PRINT IVZR. fyi – can only run 2 macros in same session fyi – I run categorical moderators using both METAF and METAREG because answer different questions

15
Interpreting Categorical Macro Sig difference = 22.87, p =.0000

16
Interpreting Continuous Macro beta = -.0958, p =.0014

17
Now, to Multivariate METAREG can handle multiple variables METAREG ES = ES_zr /W = weight /IVS = ev1_subjecttype ev2_stimulustype /PRINT IVZR. fyi – Can include as many variables as you wish. fyi - I believe you can include CATEGORICAL moderators IF: (1) they are dichotomous, (2) they are continuous and linear relationship

18
Interpreting Continuous Macro beta for each one, p value for each one overall r-squared

19
Finally, Interaction analysis Center each variable Create interaction term by multiplying together Enter all three into METAREG If interaction term is sig, then interaction exists How to graph the interaction? (next week)

20
FYI Our website has my excel file (Example-DataSet2) and the accompanying SPSS file (SPSS-ExampleDataSet2) You also have my quals paper, so you can use the SPSS file to practice and see if your data match the quals paper. HOWEVER, the data will only match the CATEGORICAL moderator analysis (not the continuous moderator analysis) for reasons I dont have time to go into.

Similar presentations

OK

Slide 1 Regression Assumptions and Diagnostic Statistics The purpose of this document is to demonstrate the impact of violations of regression assumptions.

Slide 1 Regression Assumptions and Diagnostic Statistics The purpose of this document is to demonstrate the impact of violations of regression assumptions.

© 2018 SlidePlayer.com Inc.

All rights reserved.

To make this website work, we log user data and share it with processors. To use this website, you must agree to our Privacy Policy, including cookie policy.

Ads by Google