The Importance of DGW

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Presentation on
DATA GENERATOR FOR WINDOWS
DATA GENERATOR FOR WINDOWS
The Importance of DGW
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NO NEED to collect original data
EASY data generation for several research designs
Easy data for ILLUSTRATION in class
Relevant for ALL LEVELS of statistics coursesIntro& Advanced
• BETTER UNDERSTANDING of the data
The Importance of DGW
• Can MODIFY data for assumption
violations and missing data.
• MIMIC data found in research reports
• REPLICATION of studies very easy
• CHEAP and TIME SAVING
Types of design
• Two-group designs with up to 4 DV,s,
• Univariate designs with up to 8 independent
groups,
• 2x2, 2x3, 2x4, and 2x2x2 univariate factorial
designs,
• Independent group designs with two DV,s
variables and up to four groups
• Regression analyses with up to eight variables.
Types of Statistical Analysis
• Independent and dependent t-tests,
• One-way, two-way, and three-way ANOVA,
• One-way MANOVA, MANCOVA, and repeated
measures,
• split-plot repeated measures,
• Multiple regression,
• Factor analysis with a small number of variables,
and
• Discriminant analysis.
Input Decisions
• Population parameters-Mean and
Standard Deviation
• Sample size –your choice
• Decimal places-your choice and depends
on type of scores
• Data cut-off points-Minimum and
Maximum
Input Decisions
• Types of distribution –Normal and Non-Normal
• Changing default values-Reliability, Missing
Values and Extreme Values
• Correlation Matrix- set among/between
continuous variables
• Seed- Keep Seed for generating same data over
and over again
• Title for output-relevant sometimes
Demonstration
Generate data
Save files
Import Data into SPSS
Let’s do (any of) the following:
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Independent T-test
One-Way ANOVA
One-Way MANOVA
Multiple Regression
Factor Analysis
And More………..
Output Information
• How to save generated data
• How to import text data files to SPSS
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