Factor Analysis (Data Analysis

I don’t know how to handle this Statistics question and need guidance.

Follow the directions in Section 20.5 of Chapter 20 in your IBM SPSS Statistics Step by Step text. Reproduce all of the IBM SPSS output from the analysis and copy and paste into a Word document called week4assign.doc. This has been run already and is included in the work doc.

Please complete the data analysis below

Also see the Data Analysis Formatting Guidelines:

Section I – Data File Description

  • The source of the database.
  • Any history or “story” that provides context for the data.
  • All variable(s) that are used in the analysis, including the measurement scale associated with each variable and any missing cases.
  • The number of cases (sample size).
  • The presumed population.
  • Any other general information that describes the data file and variables.

Section II – Assumptions, Data Screening, and Verification of Assumptions

  • Clearly identify and verify any assumptions and requirements underlying the use of each inferential statistical procedure.
  • Systematically verify each assumption and requirement for the variables that will be used in the analysis.
  • If an assumption or requirement cannot be verified with the given information, indicate what information would be needed to provide verification.
  • If the assumption or requirement is not consistent with the variables in the data file, indicate what remediation might be undertaken to ameliorate the problem.
  • Screen the data for out-of-bound values and outliers.

Section III – Inferential Procedure, Hypotheses, Alpha Level

  • State the alpha level (use .05 unless otherwise indicated).
  • State the research question(s).
  • State the statistical hypotheses, both null and alternative.
  • Indicate what the calculated statistic will be that addresses each of the hypotheses.

Section IV – Interpretation

  • Indicate the results and interpret the meaning of the results for each inferential analysis and do this specifically for the variables that are being analyzed.
  • State your conclusions, as they relate directly to the research questions and hypotheses, based on the interpretation of the results.
  • Indicate any limitations or constraints regarding these conclusions.

Factor Analysis (Data Analysis

I don’t know how to handle this Statistics question and need guidance.

Follow the directions in Section 20.5 of Chapter 20 in your IBM SPSS Statistics Step by Step text. Reproduce all of the IBM SPSS output from the analysis and copy and paste into a Word document called week4assign.doc. This has been run already and is included in the work doc.

Please complete the data analysis below

Also see the Data Analysis Formatting Guidelines:

Section I – Data File Description

  • The source of the database.
  • Any history or “story” that provides context for the data.
  • All variable(s) that are used in the analysis, including the measurement scale associated with each variable and any missing cases.
  • The number of cases (sample size).
  • The presumed population.
  • Any other general information that describes the data file and variables.

Section II – Assumptions, Data Screening, and Verification of Assumptions

  • Clearly identify and verify any assumptions and requirements underlying the use of each inferential statistical procedure.
  • Systematically verify each assumption and requirement for the variables that will be used in the analysis.
  • If an assumption or requirement cannot be verified with the given information, indicate what information would be needed to provide verification.
  • If the assumption or requirement is not consistent with the variables in the data file, indicate what remediation might be undertaken to ameliorate the problem.
  • Screen the data for out-of-bound values and outliers.

Section III – Inferential Procedure, Hypotheses, Alpha Level

  • State the alpha level (use .05 unless otherwise indicated).
  • State the research question(s).
  • State the statistical hypotheses, both null and alternative.
  • Indicate what the calculated statistic will be that addresses each of the hypotheses.

Section IV – Interpretation

  • Indicate the results and interpret the meaning of the results for each inferential analysis and do this specifically for the variables that are being analyzed.
  • State your conclusions, as they relate directly to the research questions and hypotheses, based on the interpretation of the results.
  • Indicate any limitations or constraints regarding these conclusions.