STAT6000: Statistics for Public Health
This assessment addresses the following learning outcomes: 2. Investigate survey design in order to collect valid and reliable data and sampling techniques to minimise bias.
You have been asked to design a short telephone survey to find out the demographic characteristics of people in the catchment of a local community health service, and distinguish between those who actually use the service and those who do not.
This assessment has two parts.
How can you identify and contact these two groups? In your answer, discuss potential sources of population data that you can use to select participants, and the advantages and disadvantages of using these lists to identify people in the population. You also need to describe your sampling method, the process you will follow to recruit participants, and the limitations of recruiting participants with this approach. This section should include references presented in APA style.
Formulate up to 10 questions that will elicit the demographic and usage information you need. You need to include a range of different question types to demonstrate your understanding. Include both closed and open ended questions. Include at least one question using a Likert scale.
Consider the type of data you need from each question, and word it accordingly
Balance how you would like to summarise and describe the data with how easy it is for the respondent to answer the question.
Consult Copy of questionnaire for survey4ED.sav in the Assessment area and in Module 2 Learning Resources for an example of a questionnaire used for a survey
Some of the sources for contacting the source population can be the telephone directory for the locality, census data, data from nearby hospitals or similar health centres, data from nearby retail stores etc.
The telephone directory is the best source as the locality can be selected and phone numbers can also be obtained for the survey.
Once population source is identified, the sample needs to be selected from it. This can be done through random sampling method which ensures there is no bias in sampling, intentional or unintentional.
The cons of this method of sampling are that it relies on entire population information being available which may not hold true in real world. Also, the random sampling does not account for special information or requirements. For example, the random sampling may fail to pick a particular start of the population completely, leading to misleading results (International Journal of Applied Research, 2017).
Once the population information is sourced and sample is selected, say n=30 participants. The next step is to administer the below survey questionnaire to various participants and extract the required information. Once the exercise is complete, the results and output can be presented in a spread sheet format for easier analysis of the data collated.
For example, if the requirement is to see the section of sample that has not availed health services versus those that have availed the services, it can be easily done by using filter or pivot table using question number six as the base for the same. Similarly, each question can be analysed to arrive at results and conclusions. For qualitative data, it can be broken down to most common responses so as to streamline the data for purpose of analysis.
Pls complete the following questionnaire by putting an ‘X’ against correct option:
|< 18 years|
|19 – 25 years|
|26 – 35 years|
|36 – 50 years|
Disease Name: __________________________________________
|Thrice or more|