Statistics Factor Analysis

DATA ANALYSIS FORMATTING GUIDELINES PSY8626

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.