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Data Analysis

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Introduction

Advantages of Online Surveys

Disadvantages of Online Surveys

Designing the Questionnaire

Creating the Questionnaire

Data Collection

Data Analysis

Getting Good Data

Ethical Issues and "Netiquette"

Putting it all Together

References

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There are a wide range of statistical analysis packages available. This page provides information on several of those methods. If your research is for a publication or dissertation see Other Data Analysis Packages.

Excel

Excel is a very powerful spreadsheet and analysis program. It is one component of Microsoft Office application.

To see a complete listing of Excel's statistical functions, choose Function from the Insert menu. In the Insert Function dialog box, select Statistical as the category. Click on a function name and the definition of that function will be displayed at the bottom of the dialog box. While Excel is not as precise or as rigorous as other statistical packages, it is an easy-to-use solution.

Other Data Analysis Packages

ITS's Research Consulting group provides helpful tutorials on using the following data analysis software packages:

  • SAS - powerful and full-featured package for general statistical analysis
  • SPSS - obtain descriptive and inferential statistics and perform advanced data manipulation
  • AMOS - structural modeling, analysis of covariance structures, or causal modeling
  • HLM - analyze data in a clustered or "nested" structure
  • PRELIS LISREL - structural equation modeling and similar analyses
  • Mplus - exploratory factor analysis, confirmatory factor analysis, and structural equation modeling

(For assistance with these statistical packages, contact Research Consulting.)

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Last updated January 29, 2008.
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