170 likes | 280 Views
How to calculate: - Average Effect Size (step 4) - Moderators (step 5). Overview. We will first go through “how” to do this. Then, we will repeat everything and explain “why” we do each step. At this point you have:. (1) Effect sizes. (2) Sample sizes. (3) moderators.
E N D
How to calculate: - Average Effect Size (step 4) - Moderators (step 5)
Overview • We will first go through “how” to do this. • Then, we will repeat everything and explain “why” we do each step
At this point you have: (1) Effect sizes. (2) Sample sizes. (3) moderators
Step 1 - Transform “r” into Fisher’s z-to-r • See formulas from my excel file
Step 2 - Weight by inverse variance • See formulas from my excel file
Step 3 - Upload to SPSS • in SPSS, file-open
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)
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
Step 6 – Interpret output • ES = .1225, p = .0000 • Q = 1140, p = .0000
Now, let’s repeat and explain “why” • Transform into Fisher’s z-to-r • Why? • Weight by inverse variance • Why? • Something about standard error? Mathew?
Now, let’s move to 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
Interpreting Categorical Macro • Sig difference = 22.87, p = .0000
Interpreting Continuous Macro • beta = -.0201, p = .0014
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: • they are dichotomous, • they are continuous and linear relationship
Interpreting Continuous Macro • beta for each one, p value for each one • overall r-squared
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)
FYI • The club website has my excel file and the accompanying SPSS file. • 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 don’t have time to go into.