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Data analysis, statistics and reporting

OCR component 1: Research methods · Lesson 2 of 2

Lesson 2 of 2

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Lesson 2 of 2 · OCR component 1: Research methods

Data analysis, statistics and reporting

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By the end you’ll be able to

Calculate, interpret and compare descriptive statistics used in psychological research, including measures of central tendency and dispersion, and explain what they show about a data set.
Select and construct appropriate graphical displays and tables for different kinds of data, and interpret patterns, trends, distributions and possible anomalies from presented results.

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Choose and justify appropriate inferential statistical tests from OCR specification requirements, including the sign test, Mann-Whitney $U$, Wilcoxon signed-rank, chi-squared and Spearman’s rho, with reference to differences or associations, related or unrelated designs, and nominal or ordinal data.

Interpret outcomes of inferential testing using concepts of significance, probability, critical values, calculated values, null hypothesis, alternative/experimental hypothesis and observed/accepted significance levels as required by OCR.

Draw and report conclusions from research findings, linking data to hypotheses and methodological quality, and evaluate the strength of evidence with reference to reliability, validity, bias and limitations of the analysis.

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