Please Read And Review The Details Of The Entire Assi 699183

Please Read And Review The Details Of The Entire Assignment The Assig

Please read and review the details of the entire assignment. Use the "Module 2 SPSS Data File" and the "Module 2 Problem Set" documents for research and to complete the assignment correctly. Conduct the necessary data screening analysis using SPSS, then report your output. Submit a Word document with your responses to the exercise questions and include the SPSS output files showing the analyses performed. Copy your SPSS output into the Word document as part of your submission.

Paper For Above instruction

The assignment focuses on familiarizing students with initial data screening activities using SPSS, a vital step in data analysis to ensure the quality and integrity of data before conducting further statistical procedures. The core tasks involve importing the provided data file into SPSS, performing preliminary analyses, such as checking for missing data, outliers, and the distribution of variables, and then reporting these findings comprehensively.

To begin, students must first access the SPSS software following the provided instructions. Once access is granted, the "Module 2 SPSS Data File" should be downloaded and opened within SPSS. This data set contains various variables that need to be inspected through descriptive statistics, frequency distributions, and visual diagnostics such as histograms or box plots. These procedures help identify anomalies or patterns that could skew subsequent analysis.

A critical component of data screening involves checking for missing values and deciding how to handle them—whether through data imputation, deletion, or other methods. Additionally, the detection of outliers via boxplots or z-scores ensures that extreme values do not unduly influence the results. The assessment of variable distributions through skewness and kurtosis statistics or normality tests allows for better understanding of the data's underlying properties, guiding the selection of appropriate analysis techniques.

Throughout this process, documenting the procedures performed and their results is essential. The output from SPSS, such as tables and charts, should be integrated into the Word document, with clear explanations of what these outputs signify. The goal is to provide a transparent account of initial data screening, demonstrating due diligence in preparing data for further analysis.

In the final submission, the student must include a narrative summarizing the findings from the data screening activities—highlighting data quality issues uncovered and any necessary data management steps. The SPSS output files should be included as appendices, illustrating the analyses carried out. This comprehensive approach emphasizes the importance of thorough data exploration before proceeding to inferential or predictive analyses, thus ensuring the validity and reliability of subsequent research conclusions.

In conclusion, this assignment not only enhances students' skills in performing basic yet crucial data screening procedures using SPSS but also fosters critical analytical thinking. Proper documentation and interpretation of these initial steps are foundational to sound research methodology. Ensuring each step is carefully executed and clearly reported prepares students for more complex statistical analyses in future modules. The adherence to proper scholarly standards, including paraphrasing, citing relevant literature, and formatting in APA style, is imperative throughout the assignment to produce a professional, credible report.

References

American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). https://doi.org/10.1037/0000165-000

Field, A. (2017). Discovering statistics using IBM SPSS statistics (5th ed.). Sage Publications.

George, D., & Mallery, P. (2019). SPSS for Windows step by step: A simple guide and reference (17th ed.). Routledge.

Pallant, J. (2020). SPSS survival manual (7th ed.). McGraw-Hill Education.

Leech, N. L., Barrett, K. C., & Morgan, G. A. (2015). IBM SPSS for intermediate statistics: Use and interpretation (6th ed.). Routledge.

Tabachnick, B. G., & Fidell, L. S. (2019). Using multivariate statistics (7th ed.). Pearson.

Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.

Ghasemi, A., & Zahediasl, S. (2012). Normality tests for statistical analysis: A guide for non-statisticians. International Journal of Endocrinology and Metabolism, 10(2), 486-489.

Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Publications.

Schumacker, R. E., & Lomax, R. G. (2016). A beginner’s guide to structural equation modeling (4th ed.). Routledge.