Data Collection and Analysis
Because it's rarely practical or desirable to collect data from all members of a study population, the practice of scientific sampling is an essential component to sound research.
This week, you will examine various sampling designs and techniques, including both probability and nonprobability methods.
In addition, important statistical considerations will be introduced, including sample size, measures of central tendency, variability, confidence intervals, and hypothesis testing.
Learning Objectives
Students will:
• Identify the various methods of sampling used in health research
• Identify methods for analyzing data
• Identify methods for interpreting data
Discussion: Data Collection Proposal
The collection of data can be the deciding factor as to whether research is considered valid or not.
In this Discussion, you will consider the different ways that data can be collected. You will also determine the best way to analyze data that will answer your research question.
To prepare for this Discussion:
• Consider your research topic, the results of your literature review, and your proposed research design.
Post a comprehensive response to the following:
• How will you collect information for your research (qualitative, quantitative, or mixed methods)? Explain your answer. (See Chapters 11 or 12 of your textbook.)
• What statistical methods will be used to analyze the data? Why? (See Chapters 11 or 12 of your textbook.)
• What sample size will you use? Why? (See Chapter 10 of your textbook.)