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Resources for learning about and conducting public opinion and other research surveys, including recruitment, questionnaire design, and online survey software.

- How to Manage, Analyze, and Interpret Survey Data by Arlene Fink ''''&BAD:quot;A useful and readable introduction to data analysis and valuable resource for the nonspecialist.&BAD:quot;''--Cameron Lee, Fuller Theological Seminary''Clearly written with useful checklists, guidelines, and examples, How to Manage, Analyze, and Interpret Survey Data shows readers how to manage survey data and become better users and consumers of statistical and qualitative survey information. Fink explains the basic vocabulary of data management and statistics, and then demonstrates the principles and logic behind the selection and interpretation of commonly used statistical and qualitative methods to analyze survey data: from cleaning the data to measurement scales through to how to read computer output and judge significance using confidence intervals. Thoroughly reorganized and revised, the book now includes coverage of:''#65533; How to organize and manage data for analysis ''#65533; How to draft an analysis plan ''#65533; How to define and format a data file''#65533; How to create a complete code book, including how to establish the reliability of the coding''#65533; How to calculate the odds ratio and risk ratio''#65533; How to do the basic steps in a content analysis of qualitative data''#65533; How to recognize and deal with missing data and outliers for recoding''#65533; How to enter data accurately into spreadsheets, database management programs, and statistical programs''&BAD:quot;The author provides an excellent introductory overview to selecting appropriate statistical tests--the purposes and prerequisites for using various statistical methods.&BAD:quot;''--Kathy Sexton-Radek, Elmhurst CollegeCall Number: Available ONLINE through MasonISBN: 9780761925767Publication Date: 2002-10-22

You may be required to use SPSS, Stata, SAS, or R by your instructor, department, or advisor. But, there are many other options that you can use on your own computer.

But, there are other options:

**Jamovi *Recommended***- Free, Open Source point-and-click software built on R, can open SPSS, Stata, and SAS files.**PSPP**- Free, Open Source implementation of the basic SPSS abilities (including basic ANOVA and Regression)**Qualtrics**- Has some rudimentary tools that may be sufficient for some purposes, see below.**Excel -**This can be appropriate for small, simple datasets that need descriptive statistics- Note that it is not necessary to use numbers to represent categories (just type the category name consistently).
- Definitely learn how to use the Table and Pivot Table functions.
- We do NOT recommend using Excel for doing analysis (ex. p-values)

You can do many types of analysis and visualization through Qualtrics if you used it for data collection.

- Basic one-variable graphs - See Results
- Simple Qualitative coding/tagging - See Text IQ
- Examining Relationships
- See Results with Breakouts
- See Cross Tabs (despite the name, It can also do t-tests)

- The 'Margin of Error' Is More Controversial Than You Think (Huffington Post)
- A Debate on Using Margin of Error with non-probability panels
- “Margin of Error”, When Used by Pollsters, Is Widely Misunderstood and Confuses Most People pdf (Harris Polls)
- Margin of Sampling Error and Credibility Interval (AAPOR)

- Last Updated: Mar 27, 2024 11:30 AM
- URL: https://infoguides.gmu.edu/survey
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Subjects: Data & Statistics

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