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HPPR 404 Research and Evaluation

Sherrell Steele

Collecting, Analyzing, and Reporting Quantitative Data

Objectives

How to design surveys How to train interviewers What are call sheets? What are acceptable response

rates? Reporting relationships among

variables

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Survey design

Online templates e.g. Zoomerang, Survey Monkey (free)

Statistical packages e.g. SPSS (costly)

Computer assisted data collection (automatic data analysis)

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Coding

Assigns a number to a response , usually on a scale (e.g. Likert)

Code books help to keep consistent analysis when there are several people doing coding

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Training interviewers

Be polite Read slowly and clearly Read each question consistently Do not influence (bias)

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Call sheets

Track timing of calls, call history Use code to record e.g. CM=

Completed interview

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Response rates

The number of people who complete a survey out of a valid sample size

Phone surveys - 45% to 55% response rates

Mail surveys - 30% response rates

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Univariate relationships

Compares results from several groups e.g. How many male smokers attend sporting events.

Reported using crosstab tables see Table 12.3 and 12.4 pages 263 and 264 in your text

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Summary and conclusion You do not have to be a

statistician. Leave Chi squares and correlation coefficients to internal experts or external contractors.

Your main task is to make the outcomes understandable and acceptable to your senior managers.

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