Part 1: Quantitative Analyses Follow The Step-By-Step Instru

Part 1: Quantitative Analyses · Follow the step-by-step instructions provided in the Instructions

Follow the step-by-step instructions provided in the Instructions: Quantitative Analysis Assignment document in this week’s resources on using the Excel program to conduct descriptive analyses of quantitative data. The Quantitative Data Excel Assignment spreadsheet that you will need is in the resources for this week. For this Assignment, you will need to describe the findings from your analyses and summarize what they tell you about these patients and the extent of the adverse events they experienced during their hospitalization by completing the Summary Data Analysis Form in this week’s resources. Part 2: Qualitative Analyses · Follow the step-by-step instructions provided in the Instructions: Content Coding of Student Pet Peeves document in this week’s resources. The document provides detailed instructions on the step-by-step process of conducting the content analysis for this part of the Assignment. Access the Perceived Pet Peeves Data document located in this week’s resources that includes the narrative descriptions of 10 students about their “pet peeves’ in courses they have taken. (In other words, what are the things that detracted from their learning experiences in these courses)? o The analytic method you will use to analyze the narrative data for this Assignment is called content analysis. It requires you to read each student’s narrative and then code its content using thematic categories on a coding sheet. · Access the Code Sheet: Student Pet Peeve Data document located in this week’s resources to carry out the coding as defined in the instructions. o For the written part of this assignment, you will need to describe the most common types of “pet peeves” that students have about their courses.

Paper For Above instruction

This paper presents a comprehensive analysis based on both quantitative and qualitative data as part of an academic assignment exploring patient adverse events and student pet peeves in courses. The first section delves into quantitative data analysis, following step-by-step instructions to conduct descriptive analyses using Excel, a process that involves summarizing patient data to assess the prevalence and severity of adverse events during hospitalization. The findings aim to provide insights into the extent of such adverse events, informing healthcare quality improvement efforts. The second section shifts focus to qualitative analysis through content coding of student narratives about their pet peeves. This process involves systematically reading and coding ten students' descriptions of factors that detracted from their learning experiences, utilizing thematic categories on a provided coding sheet. The goal is to identify the most common types of pet peeves, thereby shedding light on areas for enhancing educational experiences. This dual-method approach underscores the importance of combining quantitative and qualitative techniques to gain a nuanced understanding of complex issues within healthcare and educational contexts. Both analyses follow detailed, step-by-step instructions, emphasizing methodological rigor and accuracy, aiming to produce meaningful, actionable insights from the data collected.

References

  1. Creswell, J. W., & Plano Clark, V. L. (2017). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications.
  2. Patton, M. Q. (2015). Qualitative Research & Evaluation Methods: Integrating Theory and Practice. SAGE Publications.
  3. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2018). Multivariate Data Analysis (8th ed.). Cengage Learning.
  4. Bryman, A. (2016). Social Research Methods (5th ed.). Oxford University Press.
  5. Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.). SAGE Publications.
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  8. Neuman, W. L. (2013). Social Research Methods: Qualitative and Quantitative Approaches (7th ed.). Pearson.
  9. Feagin, J. R., Orum, A. M., & Sjoberg, G. (2013). A Theoretical Introduction to Sociological Analysis. U of North Carolina Press.
  10. Silverman, D. (2016). Qualitative Research. SAGE Publications.

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