MetaWin 2.0

Michael S. Rosenberg, Arizona State University, Dean C. Adams, Iowa State University, and Jessica Gurevitch, State University of New York, Stony Brook

2000
CD and Text

PLEASE NOTE!

As of November 1, 2009, MetaWin 2.0 is out of print, and thus can no longer be purchased from Sinauer Associates. If an alternative mode of distribution should materialize, we will advise you here.

About This Title

MetaWin first published in 1997, allows the user to easily carry out all common meta-analysis calculations on multiple independent studies from a wide variety of disciplines, including medicine, ecology, and the social sciences. One can compare mean effect sizes and confidence limits of different classes of studies with the click of a mouse, and examine the results of within- and between-group heterogeneity using parametric methods as well as resampling tests. MetaWin 2.0 allows users to refine their analyses by choosing which specific groups and individual studies from their data sets they wish to analyze or eliminate. In addition, Version 2.0 allows users to calculate any of six different effect sizes from their data, and can be used for a variety of statistical meta-analytic models. MetaWin runs on IBM-compatible computers running Windows 95/98/NT/XP, with a minimum 8MB of RAM. Read on for a brief list of new features.

What's New in Version 2.0?

The program comes with its own spreadsheet editor; data can be entered directly into the spreadsheet or read from a text file, a Microsoft Excel file, or a Lotus 1-2-3 file. These files can now be in free matrix format, and data in the editor can be corrected and altered as needed.
Many of the program limitations found in Version 1.0 have been eliminated. There is still a limit on the number of iterations that can be performed for resampling tests (now 64,999), but the number of independent variables, the number of studies, and the number of groups is limited only by the amount of available space on one's hard drive.
The program can now calculate six different effect sizes (Hedges' d, response ratio, odds ratio, rate difference, relative rate, and Fisher's z-transform) from data, rather than two, as in Version 1.0.
The analysis routine is greatly expanded, and now includes additional analyses, such as regression/continuous analysis, cumulative analysis, fail-safe analyses and data exploration techniques.
Graphical analyses such as funnel plots, radial plots, histograms, quantile plots, regression plots, and others are now included (Version 1.0 included no graphics).
A statistical calculator is included so that one may transform test statistics from various studies into a common metric (e.g., correlation coefficients) that may be used to generate effect sizes.

Further information, technical support, and updates may be found on the MetaWin Home Page.

Reviews and Commentary

"Good luck with this important project. We are in an age where the development of software such as this is critical because of the dire need to consolidate information. I have in my possession and have tested a number of meta-analytic software programs and find MetaWin to be the best one currently on the market." George Kelley Director, Meta-Analytic Research Group Northern Illinois University

"MetaWin is a major contribution to ecology. If it catches on like I think it should, the field of ecology may begin to achieve the synthesis everyone seems to want. In fact, the program and documentation is so clear that empirical biologists of all kinds who want to go beyond single studies will love MetaWin." Peter M. Kareiva, University of Washington

Chapter 1

1. Getting Started
1.1. What is MetaWin?
1.2 What's New in Version 2.0
1.3.Hardware Requirements and Installation Potential Problem with Windows System
1.4. Overview of Manual
1.5. Basic Information
1.6. Technical Support and How to Cite MetaWin

Chapter 2

2. Introduction to Meta-Analysis
2.1. Why Perform Meta-Analysis?
Vote-Counting Methods
Combined Probability Methods
Modern Meta-Analysis
Section Summary
2.2. Effect Size Calculations
Means and Standard Deviation Data
Two ( Two Contingency Data
Correlation Date
Other Effect Sizes
Section Summary
2.3. Meta-Analysis Summary Statistics
Cumulative Effect Size and Total Heterogeneity
Incorporating Data Structure in Meta-Analysis
Fixed-Effects Models and Random-Effects Models
2.4. A General Model for Meta-Analysis
General Linear Models (GLMs) for Meta-Analysis
Generalizing Odds Ratio Computations
2.5. Summary

Chapter 3

3. Additional Issues, Analyses, and Calculations
3.1 Publication Bias and Data Exploration
Does Publication Bias Exist?
Graphical Data Exploration
Rank Correlation Tests for Publication Bias
Fail-Safe Numbers
3.2. Cumulative Meta-Analysis
3.3. Resampling Methods in Meta-Analysis
Bootstrapping
Randomization Tests

Chapter 4

4. Running MetaWin
4.1. Data Spreadsheet
Data Structure
Loading Data
Manipulating Data
Saving and Printing Data
4.2. Output Window
4.3. Program Options

Chapter 5

5. Conducting a Meta-Analysis
5.1. Calculating Effect Sizes
Means and Standard Deviation Data
Two ( Two Contingency Data
Correlation Data
Results from Effect Size Calculations
5.2. Calculating Meta-Analysis Summary Analyses
Basic Options Tab
Resampling Tests Tab
Refine Categories Tab
Refine Studies Tab
Graphical Output Tab
Miscellaneous Analyses Tab
Results from Summary Analyses Calculations

Chapter 6

6. Miscellaneous Analyses/Options
6.1. Data Exploration
Graphical Methods Tab
Publication Bias Tab
Fail-Safe Tab
Results from Data Exploration
6.2. Graphics
Draw Graph Window
General Plot Options

Chapter 7 7. MetaWin Statistical Calculator
7.1. What is MetaCalc?
7.2. Statistical Functions
Variance Functions
Probability Functions
Correlation Functions
Mean Difference Functions

Appendix A: Example Data Sets
Gurevitch and Hedges (1993) Data Set
Berlin et al. (1989) Data Set

Appendix B: Warning and Error Messages
MetaWin Messages
MetaCalc Messages

Glossary

References

Pricing and Options

Titles	Product Code	Price (USD)
MetaWin 2.0	0-87893-761-7	$150.00
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