Quantitative Analysis
| Category (Subject Area): | Statistics |
| Pages (Word Count): | 3 Pages (825 Words) |
| Number of Sources: | 1 |
| Referencing style: | APA |
| PROJECT #2 |
Objective: Project 2 provides students the opportunity to develop a survey questionnaire and strategy that they could use to explore a research topic that interests them. You won’t be working with data so you won’t need Excel for this.
Step 1: Choose a topic. Examples of surveys, some of which include reports based on the results, can be found in the Survey Examples folder. Prepare a brief introduction to your topic for a hypothetical lay reader. Clearly explain why your topic is interesting. Provide an explicit statement of your research question or questions (15 points).
Step 2: Create a survey questionnaire (30 points).
- The survey must have at least 20 questions and no more than 40 questions.
- The survey must contain at least 10 nominal variables, at least 10 ordinal variables.
Step 3: Prepare a table that lists the name, brief description, and the level of measurement for each variable (35 points).
Here’s an example to give you an idea of what your table should look like.
Let’s say you have a question that measures support for a statewide smoking ban in Missouri that would prohibit smoking in all workplaces, restaurants, bars, and entertainment venues. This question could be followed by a question concerning the respondent’s political affiliation. The questions would look something like this:
(1) Missouri should adopt a statewide smoking ban that would prohibit smoking in all workplaces, restaurants, bars, and entertainment venues.
1 – Strongly disagree
2 – Disagree
3 – Neither agree nor disagree
4 – Agree
5 – Strongly agree
(2) Please circle the response that best describes your political affiliation:
1 – Republican
2 – Democrat
3 – Independent
In the table, the questions could be classified like this:
| Question | Description | Level of Measurement |
| 1 | Measure of support for statewide smoking ban | Ordinal |
| 2 | Measure of political affiliation | Nominal |
There are several different ways to do this, but it should be easy to read. It should also demonstrate that you understand the different levels of measurement.
Step 4: Develop a description of your research design (20 points).
- This section should include a plan for distributing the survey (by mail, web, or telephone, etc.). Make sure that you clearly describe the kind of sample you’re going to collect (simple random, stratified random, cluster, etc.) , your target sample size, and how you’re going to distribute the surveys (mail, telephone, in-person, online, or some combination of those methods). You should also discuss whether your sampling and delivery strategies are prone to any of the forms of bias discussed in the video lecture on sampling. You should also discuss whether your delivery strategy is likely to lead to an adequate response rate. What do you expect your response rate to be? Why? An exact estimate isn’t necessary. Think about what you would need your response rate to be in order to have a reasonably low margin of error and a sample that is representative of your target population. Talk about whether your strategy is likely to achieve those goals. The Schueren article discusses these issues for survey delivery strategies other than online surveys. To get the relevant information on online surveys, you’ll probably need to do some additional research.
Step 5: Submit all of these items in one Word document on Blackboard.
