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Homework answers / question archive / Data Collection, Analysis Methods and Techniques A Closer Look at Data Collection and Analysis We touched on the topics of data collection and analysis in a prior week
Data Collection, Analysis Methods and Techniques
A Closer Look at Data Collection and Analysis
We touched on the topics of data collection and analysis in a prior week. Here, we will give them the attention they require. Consider the concept of data collection and what it entails. Fortunately, gathering information about our clients involves the application of some of the same skills.
Researchers use a variety of methods to access the information they seek. Primary is the decision whether to employ qualitative, quantitative, or mixed methods. In an earlier discussion, we explored the differences between these methods and how to determine which methods to employ. Recall that qualitative methods elicit data in the form of words based on research participants' experiences with and perceptions of a particular phenomenon. Generally, qualitative methods are used to build theory and address a particular social problem. Qualitative studies may include data based on observation, through interviews, and a review of related artifacts and audiovisual materials (Creswell, 2009).
Quantitative methods, on the other hand, produce numerical results amendable to statistical analysis and are generally used to examine causal relationships between variables or test the impact of an intervention. Survey and experimental research designs include the use of quantitative methods of data collection (Creswell, 2009). There is always the option of using both qualitative and quantitative methods (mixed) of data to provide more depth and breadth to a study. Decisions about choice of method are driven by the researcher's questions and study goals.
Reference
Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed-methods approaches (3rd ed.). Los Angeles, CA: Sage.
TO DO LIST:
Assignment Overview
In this assignment, you will identify how you would conduct a study of the best practice model you proposed earlier in the quarter, identifying types of data, data collection methods, and data analysis.
What You Need to Know
Data Analysis
The following readings from the course texts are important preparation for completing the "Data Collection and Analysis" assignment, due in Week 8:
Webinar 3: Data Collection and Analysis
The considered collection and critical analysis of contextually relevant data is at the heart of any research study. Without valid data and analysis to support conclusions, a study is nothing but an opinion. In the course of this webinar, we will step through the complex (but learnable!) process of deciding how to collect data and, further, how to fruitfully analyze the results.
You may review the Webinar 3: Data Collection and Analysis [PPT] file for an overview of what will be discussed.
Check the Announcements in the courseroom for details about when this webinar will be held.
DATA COLLECTION AND ANALYSIS
Overview
Even the most focused research question may contain within it a series of more fundamental and related questions. Once these are determined, the researcher must then determine the kinds of information necessary to answer them. In this assignment, you will identify how you would conduct your study of the best practice model you proposed earlier in the quarter. From there identify a series of evaluation questions which you would propose as an evaluation design. You will also begin to identify the kinds of data you will need, from whom you will gather it, and which methods you will apply to your proposed study.
For your research questions, identify what type of data you will collect in order to address your research question. You will be answering these questions:
By successfully completing this assignment, you will demonstrate your proficiency in the following EPAs and practice behaviors:
C4: Engage In Practice-informed Research and Research-informed Practice
Instructions
Include the following components in your paper:
Additional Requirements
The assignment you submit is expected to meet the following requirements: