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(3) Identifying Effect Size (ES) for each study. Overview General Information to keep in mind:  The goal is to convert each study to a single effect.

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Presentation on theme: "(3) Identifying Effect Size (ES) for each study. Overview General Information to keep in mind:  The goal is to convert each study to a single effect."— Presentation transcript:

1 (3) Identifying Effect Size (ES) for each study

2 Overview General Information to keep in mind:  The goal is to convert each study to a single effect size (ES) number that you type into the excel file  Sometimes calculating the ES will be straightforward and easy  Sometimes the study will not provide detailed information to calculate the ES so we will have to make decisions (guesstimates) to arrive at best guess  Keep a record of every decision you make (in excel file) because we will be reporting that information (and last few slides of PPT explains some of the decisions

3 Two Preliminary Steps: (1) convert to “r” or “d” ? View #1 Empirical research can take many forms (e.g., IV can be dichotomous and/or continuous IV, DV can be dichotomous and/or continuous DV, two variables relationships, etc) and the form of research you are analyzing helps determine which metric may be best: r – Correlation Coefficient - Johnson & Eagly, 2000 suggest using r when the studies composing the meta- analysis primarily report the correlation between variables,Johnson & Eagly, 2000 d – Standardized Difference - Johnson & Eagly, 2000 suggest using d when the studies composing the meta- analysis primarily report ANOVAs, t-tests between groups.Johnson & Eagly, 2000

4 Two Preliminary Steps: (1) convert to “r” or “d” ? View #2 Rosenthal & DiMatteo, 2001 discussion the advantages of using r over d: Rosenthal & DiMatteo, 2001  Primary studies contain both “correlation”-based and “between-group”-based studies, so how to choose?  Converting ds to rs sometimes loses information but converting rs to ds does not.  r is more easily interpreted. (FYI – flip side is that d is harder to interpret and always a larger number than r)

5 Two Preliminary Steps: (2) which software? You need to decide:  Free versus $?  Does it have the functions you want/need?  How long to learn how to use it? If have money/time:  “Comprehensive Meta Analysis” If don’t have money/time:  Wilson (Practical Meta Analysis) website See for links to 11 different types of statistical software - http://www.psychwiki.com/wiki/Meta-analysis http://www.psychwiki.com/wiki/Meta-analysis

6 Identifying ES for each study (1) Download “ES Calculator” (see our website)

7 Identifying ES for each study (2) For each study, identify data from “Results”

8 Identifying ES for each study (3) Find corresponding data from “Calculator”

9 Identifying ES for each study (4) Input information to get ES

10 Identifying ES for each study (5) Put ES into excel file

11 Two independent raters of ES Double-checking  Two raters of each effect size  Each rates independently of the other  Compare and resolve discrepancies  You will find that rating ES is an iterative process in which you will double-check your own findings over and over again as you learn more information and become more adept at the process

12 Issues about identifying ES Overarching goal:  “A conservative estimate of effect size was used whenever studies did not report specific statistics.”

13 Issues about identifying ES What if…  p-value is reported only as “p <.05” Solution:  treat as if p =.05

14 Issues about identifying ES What if…  only reports that it was “non-significant” Solution:  treat as ES = 0

15 Issues about identifying ES What if…  only reports grand N, not n for conditions? Solution:  treat as equal sample size in each condition(s)

16 Issues about identifying ES What if…  two conditions, reports frequencies condition1 = 75% condition2 = 69% grand N = 200 Solution:  ???

17 Issues about identifying ES What if…  only reports p-value and sample size Solution:  ??? (is there a website for this?)

18 Issues about identifying ES What if…  does not provide enough info to calculate ES? Solution:  Could try contacting author, but unlikely to work  Keep a record of which studies don’t contain sufficient information because will report that in Method section such as: “Studies were excluded if they did not contain enough statistical information to calculate an effect size (citation, citation, citation, citation, etc)”


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