**IBM SPSS Essentials: Managing and Analyzing Social Sciences Data**Kulas, J., Roji, R., & Smith, A. (2021).*IBM SPSS essentials: Managing and analyzing Social Sciences data.*John Wiley & Sons Inc.

**This is the only main text reading for this week. This chapter (Ch. 13) discusses manipulating data such as creating scale scores. **

**Data Mining**Leite, W., & Collier, Z. (2018).*Data mining.*In The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation (Vol. 4, pp. 459-461). SAGE Publications, Inc.,

**This source discusses the process of applying algorithms to various data. These techniques can be used for prediction. The exploratory factor analysis is one of those techniques.****EFA**Fabrigar, L., & Kan, M. (2018). Exploratory factor analysis. In B. B. Frey (Ed.),*The SAGE encyclopedia of educational research, measurement, and evaluation*(pp. 649-653). SAGE.

**Exploratory factor analysis is used to determine the items in a survey that are related to each other, and it is used to develop constructs or factors within the survey.****PCA and Factor Analysis**Meyers, L. S., Gamst, G. C., & Guarino, A. J. (2013). Principal components and factor analysis (pp. 331-352). In*Performing data analysis using IBM SPSS.*Wiley & Sons.

**This source will guide you through the process of conducting factor analysis in SPSS. Factor analysis is used to identify themes or factors in a large set of variables.****Reliability Analysis**Meyers, L. S., Gamst, G. C., & Guarino, A. J. (2013). Reliability Analysis: Internal Consistency (pp. 311 - 318). In*Performing data analysis using IBM SPSS.*Wiley & Sons.

**This source will guide you through the process of conducting reliability analysis in SPSS. Moreover, you will be introduced to several techniques for internal consistency like coefficient alpha.****Scree Plot**Torres, D. (2018). Scree plot. In B. B. Frey (Ed.),*The SAGE encyclopedia of educational research, measurement, and evaluation*(pp. 1483). SAGE.

**The scree plot is a graphical representation of the numbers that are relevant to the factors related to the principal components of factor analysis.**

**ASC Statistics Resources**Academic Success Center (ASC). (2024).*Statistics resources.*Northcentral University.

**This page in the ASC includes all of the statistics resources curated by NU's Academic Success Center. Use the headings on the left side of this ASC page to navigate to your particular area of need.****APA Formatting Guide for Statistics**American Psychological Association. (2022).*American Psychological Association Style (7th ed.) numbers and statistics guide.*American Psychological Association. https://doi.org/10.1037/0000165-000

**This resource gives a summary of how to format statistics in APA 7th edition formatting.****Presenting Statistics in Text**Academic Success Center (ASC). (2024).*Presenting statistics in text.*Northcentral University.

**This page from the ASC offers support on how to use appropriately the different elements of statistics within text for reports, papers, assignments, etc.****Principal Components and Factor Analysis**Stehlik-Barry, K. (2017). Principal Components and Factor Analysis. In*data analysis with IBM SPSS Statistics : Master Data Management & Analysis Techniques with IBM SPSS Statistics 24.*Packt Publishing**Factor Analysis**Aldrich, J.O. (2019). Factor analysis. In Using IBM® SPSS® Statistics: An*Interactive Hands-On Approach*(3rd ed.; Vols. 1-0). SAGE Publications. Inc. https://doi.org/10.4135/9781544318912

**This resource goes over conducting one-way factor analysis using SPSS.****Factor Analysis, Reliability, Dimensionality of Scales**Harrison, V., Kemp, R., Brace, N., & Snelgar, R. (2020). Factor analysis, reliability, and dimensionality of scales. In*SPSS for Psychologists*, Chapter 11. Bloomsbury Publishing Plc.

**This chapter discusses factor analysis, reliability, and dimensionality of scales.**

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