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Chapter 4 is where your data begins to speak. In this focused, application-driven course, doctoral students learn how to organize, analyze, and present quantitative findings with clarity, precision, and scholarly rigor.
This course guides students through the process of moving from raw data to defensible results. Emphasis is placed on correctly aligning statistical analyses with research questions, accurately reporting findings in APA format, and clearly distinguishing between reporting results and interpreting them.
Key areas of focus include:
Preparing data for analysis (cleaning, screening, assumptions testing)
Descriptive statistics and data visualization
Selecting appropriate inferential statistics (t-tests, ANOVA, correlation, regression, etc.)
Interpreting SPSS or statistical output
Reporting statistical results in APA format
Writing results objectively (without over-interpretation)
Organizing tables and figures effectively
Ensuring alignment between research questions, hypotheses, and analyses
Participants will gain practical strategies for avoiding common statistical reporting errors that delay committee approval. Real examples and structured templates are provided to help students write Chapter 4 with confidence and methodological accuracy.
By the end of the course, students will have a structured draft of their quantitative results section and a clear framework for transitioning into Chapter 5.
Ideal for:
Doctoral students conducting quantitative research who need guidance in statistical interpretation, APA reporting, or structuring their results chapter with precision and clarity.
Chapter 4 is where your data begins to speak. In this focused, application-driven course, doctoral students learn how to organize, analyze, and present quantitative findings with clarity, precision, and scholarly rigor.
This course guides students through the process of moving from raw data to defensible results. Emphasis is placed on correctly aligning statistical analyses with research questions, accurately reporting findings in APA format, and clearly distinguishing between reporting results and interpreting them.
Key areas of focus include:
Preparing data for analysis (cleaning, screening, assumptions testing)
Descriptive statistics and data visualization
Selecting appropriate inferential statistics (t-tests, ANOVA, correlation, regression, etc.)
Interpreting SPSS or statistical output
Reporting statistical results in APA format
Writing results objectively (without over-interpretation)
Organizing tables and figures effectively
Ensuring alignment between research questions, hypotheses, and analyses
Participants will gain practical strategies for avoiding common statistical reporting errors that delay committee approval. Real examples and structured templates are provided to help students write Chapter 4 with confidence and methodological accuracy.
By the end of the course, students will have a structured draft of their quantitative results section and a clear framework for transitioning into Chapter 5.
Ideal for:
Doctoral students conducting quantitative research who need guidance in statistical interpretation, APA reporting, or structuring their results chapter with precision and clarity.