Much of questionnaire construction is intuitive, but there are
intricacies with which evaluation authors should be familiar. It is common
sense to require that the concepts be clearly defined and questions
unambiguously phrased; otherwise, the resulting data are apt to be seriously
misleading. To overcome this problem, Online Course Evaluations offers a
range of sample evaluation questions and responses to help you in constructing
your questionnaires.
Here are some ground rules to keep in mind:
- Each question should relate directly to your evaluation objectives.
- Every respondent should be able to answer every question (unless instructed otherwise).
- Each question should be phrased so that all respondents interpret it the same way.
- Each question should provide answers to what you need to know, not what would be nice to know.
The following are the four main parts of a evaluation questionnaire. Though each
of these sections is different from each other, it is important to understand that
all of them are necessary for drafting a good questionnaire.
Four main parts of a evaluation questionnaire
Part One: Determine the objective
Invitation
Invitation involves identifying how you are going to invite your respondents to
take the evaluation. By identifying at least one tangible or intangible
benefit to respondents for answering the evaluation will help you compose an
invitation that encourages respondents to answer it. A tangible benefit could
be in the form of an extra point on a students final exam, whereas an
intangible benefit is a chance to improve the school the student is taking
classes at. There are five main parts of an invitation:
- Introduction
- Why the respondents have been selected to respond
- How long will the evaluation take
- What benefit will they get for responding
- How their responses will be used / confidentiality
Introduction
The beginning of your evaluation should include an introduction that is enticing
and clearly states the purpose of your research. It is important that your
introduction grabs the attention of potential respondents and encourages their
participation. It is easy for online evaluation participants to abandon a
evaluation, so you must communicate up-front why they should help you with your
evaluation. Failure to do so will decrease the number of participants. The
introduction should also include any instructions about completing the
evaluation, and an estimate of how much time it will take.
Question types
Based on your evaluation objective you have to decide what types of questions
will give you the information you need. Online Course Evaluations helps
you develop your evaluations quickly. The different types of questions
provided by Online Course Evaluations are as follows:
- Select only one
Single select questions with responses shown vertically, horizontally, in
columns, or in a pull-down menu.
- Select all that apply
Multiple select questions where users may select several different responses to
a specific question.
- Free form text
1 to 6000 characters long.
- Numeric value
Requires respondents to enter a numeric value within a range you specify.
- Rank order
Place in order of importance items from a defined list. You can specify the number of rank options.
Additionally, you can make certain responses required. This will
enable you to have complete responses and reduce the number of incomplete
questionnaires.
You can include text, instructions, or additional information at the end of
your evaluation. Many evaluationors find that the "Closing Text" option under
evaluation Details gives them an easy way to thank their respondents for their
time and effort.
Part Two: Decide the attributes to measureAs with determining
the objective, choose which attributes to measure based on your objectives, and
with the data evaluation you plan to do. Several attributes you may choose to
measure are:
- Attitude
- Knowledge
- Skills
- Behaviors and practices
- Perceptions of knowledge, skills or behavior
- Goals, intentions, aspirations
- Demographics
Of course, it's possible you might measure more than one, but the questions will
be clearly different based on the information you are trying to gather.
Part Three: Choose measurement scales.
Use scales that provide the information needed and are appropriate for respondents. Some choices are:
- Fixed Response (Quantitative)
- Yes-No
- Multiple Choice
- Rating scale/Continuum (such as Likert-type scale)
- Rank ordering
Fixed response questions are quick to answer and Online Course
Evaluations graphs them automatically, which facilitates analyzing the
results.
Occasionally, however, fixed response questions may draw misleading conclusions
because the respondent cannot qualify responses, e.g. "Yes, but." or "It
depends" where only Yes/No are given as options.
- Narrative Response (Qualitative)
Narrative responses allow respondents greater freedom of expression. There is
no bias due to limited response ranges and the respondents can qualify their
answers. On the other hand, these responses are time consuming to code and the
researcher may misinterpret (and therefore misclassify) a response.
Part Four: Check reliability
Reliability is a measure of how consistent the
results of using a questionnaire will be. By consistent we mean that
respondents understand the true meaning of the question as it is stated.
Reliability is often first determined using a "pilot test" with the proposed
questionnaire and might also be repeated with the final version.
Checking for errors
Sometimes evaluations fail to achieve their objectives due to presence of
errors. Random error is the most common cause for diminished questionnaire
reliability, and occurs when questions are poorly worded, or presented leading
to inaccurate or uninterpretable answers.
For example: A evaluation of small business owners asked, "How has the
instructors lectures changed during the past year?" The response options were:
- Increased a lot
- Increased somewhat
- Increased a little
- Decreased
A better way to word this would be:
During the past year, the instructor's presentation skills have
- Increased significantly
- Increased slightly
- Decreased slightly
- Decreased significantly
We can see in the second example that the question is very
specific. Plus, the scale in the second question is evenly
distributed versus the first one, which is biased towards the positive end of
the scale.
However, a great deal can usually be done to address random error issues. For
example, you can reduce "random" error by removing unusual or confusing
questions or by changing their arrangement.
Return to top
Here are the Top 12 points to keep in mind as you write your questionnaire:
- Be brief: You should focus on "need to know" questions and minimize "nice to
know" information. Brief questionnaires have higher response rates.
- Start with non-threatening questions: Make the first question relevant to the
title/purpose, and make it easy to answer. Avoid asking for demographic
information in the beginning of the evaluation.
- Use plain language: Be direct and use simple language so that respondents can
answer quicker and more accurately.
- Include simple instructions: When necessary, include instructions about how to
complete each section and how to mark the answers to ensure that the evaluation
is completed correctly.
- Make sure it looks professional: Always proofread your questionnaire and assure
that the evaluation design is appropriate to the topic. A professional
evaluation creates a favorable image in the mind of the respondents about you.
- Ask only one question at a time: Avoid "double-barreled" questions that confuse
the respondent. Consider the confusion created by these examples:
- Do you like the books and the overheads?
- Were the exams fair and cover all of the material?
- Use open-ended questions only when the responses add value to the evaluation research.
- Provide space to tell more: At the end of the evaluation , give respondents an
opportunity to comment about the evaluation or general topic using an
open-ended question.
- Put important questions first: Respondents may get fatigued or hurried by later
questions. Include questions about demographic information at the end so the
earlier parts of questionnaire focus on gathering data necessary to meet your
evaluation objectives.
- Avoid agreement bias: By framing both positive and negative questions, your
respondents will evaluate each question rather than uniformly agreeing or
disagreeing to all of the responses.
- Avoid the response option "other": Careless responders will overlook the option
they should have designated and conveniently mark the option "other."
- Keep your evaluation short: Limit the number of questions based on your target
audience. For example you can ask more questions to customers as compared to
web-site visitors.
By evaluating how important each question is to gathering the information you
need, and by carefully wording the response options, you will collect
information which will yield more satisfactory and meaningful results.
Return to top
Invest in the future with the innovations of today.