Science Inquiry: Data Analysis, Evaluation and Communication

Data collection: qualitative, quantitative and mixed methods; subjective vs objective data. Processing and analysing data: data displays (scatterplot, column, line, histogram; summary and frequency tables), mean and median, Pearson's correlation coefficient. Drawing conclusions: evidence-based conclusions relevant to the hypothesis/inquiry question. Evaluation of research: validity (internal, external), reliability (test-retest, inter-rater), generalisability, improvements, ethical implications, critical evaluation of sources. Communicating: appropriate psychological terminology and referencing.