Disruptive Behavior in Classroom Data Collection and Analysis Paper GRADING RUBRIC MUST BE FOLLOWED APA FORMAT Solution to a problem of your choosing in

Disruptive Behavior in Classroom Data Collection and Analysis Paper GRADING RUBRIC MUST BE FOLLOWED

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Solution to a problem of your choosing in your educational setting based on a data analysis with a detailed rationale as to why the chosen method is the best method for analyzing data and for yielding accurate and illuminating findings.

Identify something you want to know more about within your classroom. Some examples are listed below:

Identify and describe what data you could collect to provide illumination to the inquiry.
Identify the data type (qualitative or quantitative), and explain why it is qualitative or quantitative data.
Provide a detailed explanation as to how the data you identified would help you to investigate the issue, situation, experience, or phenomena.
Explain how you will physically collect data (for example, how long will interviews last, how much time will it take to administer the survey, who and how many will take the survey, will you send follow-up reminders to collect survey data, will you administer a test, will you review archival records, et cetera).
Identify the best method for analyzing the data, and provide a detailed rationale as to why it is the best method for analyzing data and for yielding accurate and illuminating findings.
Describe how the data might serve to inform future decision making regarding your work as a teacher or your instructional practice.

RESOURCES

Resources: Data Collection

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The resources below provide helpful information on data collection.
Westat, J. F. (2002). Section III: An overview of quantitative and qualitative data collection methods [PDF]. In The 2002 user-friendly handbook for project evaluation (NSF 02-057) (pp. 43–62). Retrieved from https://www.nsf.gov/pubs/2002/nsf02057/nsf02057_4….
This is an overview of both quantitative and qualitative data collection techniques. Information in this resource includes the appropriate applications for collecting data via surveys, interviews, focus groups, observations, tests, document studies, and key informants.
Hoddinott, S. N., & Bass, M. J. (1986). The Dillman Total Design Survey Method: A sure-fire way to get high survey return rates [PDF]. Canadian Family Physician, 32. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC232802…
This resource provides best practice strategies for designing and administrating a survey to procure accurate data and high response rates.
Taylor-Powell, E. (1998). Questionnaire design: Asking questions with a purpose [PDF]. Retrieved from https://learningstore.uwex.edu/Assets/pdfs/G3658-0…
This article provides information on how to create a survey.
Resources: Quantitative Analysis
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These resources contain information on the analysis of quantitative or numerical data.
My Market Research Methods. (n.d.). Descriptive vs. inferential statistics: What’s the difference?Retrieved from http://www.mymarketresearchmethods.com/descriptive…
Kahn Academy. (n.d.). Statistics intro: Mean, median, and mode [Video]. Retrieved from https://www.khanacademy.org/math/probability/descr…
View this lesson for an introduction to statistics. It also provides an overview of how to calculate the mean, median, and mode.
Kahn Academy. (n.d.). Correlation and causality [Video]. Retrieved from https://www.khanacademy.org/math/probability/regre…
Resources: Qualitative Data Analysis
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These resources contain information on the analysis of qualitative data.
Auerbach, C. F., & Silverstein, L. B. (2003). Qualitative data: An introduction to coding and analysis. New York, NY: New York University Press.
Chapters 5 and 6 of this book provide information on how to analyze qualitative data through coding and categorizing data in order to identify themes or patterns.
Gallicano, T. (2013, July 22). An example of how to perform open coding, axialcoding, and selective coding [Blog post]. Retrieved from https://prpost.wordpress.com/2013/07/22/an-example…
This resource provides guidance on how to analyze narrative data using open, axial, and selective coding. Open coding entails creating labels for batches of data in order to provide a summary of the experience being studied. Axial coding entails searching for relationships within the open codes.
Taylor-Powell, E., & Renner, M. (2003). Analyzing qualitative data [PDF]. Retrieved from http://learningstore.uwex.edu/assets/pdfs/g3658-12…
This resource provides guidance on how to analyze narrative data and provides a step-by-step tutorial on coding, categorizing, and identifying themes or patterns within the data.
Resources: Validity and Reliability
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These resources contain information on validity and reliability.
Sullivan, G. M. (2011). A primer on the validity of assessment instruments. Journal of Graduate Medical Education, 3(2), 119–120.
This resource offers a quick rundown of how validity and reliability can be measured/determined. Topics such as field testing, pilot study, interrater reliability, determining the Cronbach alpha, et cetera are covered.
Williamson, G. R. (2005). Illustrating triangulation in mixed-methods nursing research. Nurse Researcher, 12(4), 7–18.
This resource provides an example of how triangulation is applied in a study to illustrate how to triangulate data and how it can be used to verify the validity of findings, as well as potential weaknesses in the methodology employed. 1. Identifies and describes appropriate data to inform an inquiry.
2. Defends with strong resources and critical thinking how data will inform inquiry.
3. Evaluates how data will be physically collected.
4. Defends how data will be analyzed to yield accurate and illuminating findings.
5. Analyzes how data may be used to inform future instructional practice and decision
making.

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