msu rstats institute workshop survey questionnaire design and data coding n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
MSU RStats Institute Workshop Survey/Questionnaire Design and Data Coding PowerPoint Presentation
Download Presentation
MSU RStats Institute Workshop Survey/Questionnaire Design and Data Coding

Loading in 2 Seconds...

play fullscreen
1 / 13

MSU RStats Institute Workshop Survey/Questionnaire Design and Data Coding - PowerPoint PPT Presentation


  • 78 Views
  • Uploaded on

MSU RStats Institute Workshop Survey/Questionnaire Design and Data Coding. Presenters: Dr. Chantal Levesque-Bristol Dr. Jeanne Phelps. Some up-front considerations: Two Cardinal R ules . #1 cardinal rule of survey research: “First, do no harm” #2 cardinal rule of survey research:

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'MSU RStats Institute Workshop Survey/Questionnaire Design and Data Coding' - kueng


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
msu rstats institute workshop survey questionnaire design and data coding

MSU RStats Institute Workshop Survey/Questionnaire Design and Data Coding

Presenters:

Dr. Chantal Levesque-Bristol

Dr. Jeanne Phelps

some up front considerations two cardinal r ules
Some up-front considerations: Two Cardinal Rules

#1 cardinal rule of survey research:

“First, do no harm”

#2 cardinal rule of survey research:

“Never forget that you are sending as well as collecting information – be sure you understand the message your survey sends”

some up front considerations what are some pitfalls
Some up-front considerations:What are some pitfalls?
  • Sampling error – obtaining survey responses from too few people who represent the population of interest; too small a sample will limit your ability to precisely estimate the characteristics of that population.
  • Coverage error – failure to randomly sample from the population of interest; not allowing all members of that population an equal or known chance of being sampled. Lead to lack of generalizability.
some up front considerations pitfalls continued
Some up-front considerations:Pitfalls, continued…
  • Measurement error – can be the result of poor question wording, or questions that produce inaccurate or impossible-to-interpret answers.
  • Nonresponse error – can occur when people who respond are systematically different from those who don’t respond.
  • Missing data error - Aim to have less than 5% of missing data.
nuts and bolts considerations
Nuts-and-bolts considerations:
  • Good questions are devilishly difficult to write – consider professionally developed and validated scales, if available
  • Avoid questions that ask respondents to “check all answers that apply”
  • Avoid questions that reduce or limit the richness of the information that you could collect
  • Surveys will give you about 20% to 30% response rate
  • Always pilot-test surveys
levels of measurements
Levels of Measurements
  • Likert Scales
    • Continuous variables
    • Provides the most information
    • Example: 1 (not at all) to 7 (completely) scale
    • Use odd number of values so that there is only one mid-point
  • Dichotomous Scales
    • Yes/No, True/False types of questions
    • Provides the least amount of information
levels of measurements1
Levels of Measurements

Likert Scales

Advantages

  • You obtain the richest kind of information
  • You can always dichotomize your scale afterwards

Disadvantages

  • Harder to construct
levels of measurements2
Levels of Measurements

Dichotomous Scales

Advantages

  • Easy to construct
  • Easy to answer

Disadvantages

  • You get poor information
  • You can’t obtain information on the extent to which participants agree with a survey item
data coding
Data Coding
  • Nominal Variable (e.g. gender)
    • Select a numerical code (1 = female/ 2 = male)
  • Dichotomous Variable
    • Select a numerical code (yes =1/ no =0)
  • Check all that apply questions
    • Select a numerical code (checked =1/ not checked =0)
  • Continuous or Likert scale
    • No coding necessary. Use the number participants provided or circled
data coding1
Data Coding
  • Each item on your questionnaire/survey becomes a variable
  • “Check all that applies” question generate lots of variables
  • Do not give complex code that combine two variables together
    • Do not code a girl in 4th grade as “14”
    • Create 2 variables and code separately:
      • Gender = 1 and grade = 4
recent developments
Recent developments…
  • Increasing use of internet to administer surveys, but problems inherent in internet surveys will probably continue to keep this delivery mode from taking over completely
  • Increasing use of more than one delivery mode (i.e., internet, mail, phone, face-to-face interviews)
references
References
  • Dillman, D.A. (2007). Mail and internet surveys: The tailored design method. Hoboken, NJ: Wiley
  • Salkind, N.A. (2006). Exploring research (6th Ed.). Upper Saddle River, NJ: Prentice Hall