![]() 7.2 Crime and incident trend identification.6.13.1 Activity 6.9: Interpreting results.6.10.4 Activity 6.7: Making a chart template.6.10.2 Activity 6.5: Let’s never make a pie chart again.6.10.1 Activity 6.4: Comparing categories.6.8.2 Activity 6.3: Custom colours in Excel graphs.6.8.1 Activity 6.2: Picking a colour scheme.6.4.1 The data to ink ratio - minimalist viz.6.4 Principles of good data visualisation.6.3 Anatomy of a plot - the Grammar of Graphics.5.6.5 Activity 5.6: Selecting Complete Cases.5.6.4 Complete cases (an approach to missing data).5.6.1 What does longitudinal data look like?.5.5.2 Activity 5.4: Research Planning with Gantt Charts: Design an RTC example.5.5.1 Pre-registration: committing to your research plan.5.3.3 Activity 5.2: Dependent and independent variables.5.3.2 What influences what? Dependent vs independent variables.5.3.1 Activity 5.1 Examples of Experiments in Criminology.4.9 Recoding some more: Transforming your variables to fit with your concepts.4.8.2 Activity 4.6: Testing your questions: Cronbach’s alpha.4.8.1 Activity 4.5: Calculating a summative score.4.7.1 Multi-item scales for categorical constructs.4.7 Composite variables created from categorical variables.4.6.3 Activity 4.4: Twitter data revisited.4.6.2 Activity 4.3: Computing a z-score in Excel.4.6.1 Measuring constructs with composite variables.4.5 The importance of conceptualisation.4.4.1 Activity 4.2: Conceptualise ‘hate speech’.4.2.1 Activity 4.1: Sample statistisc vs population parameters.4.2 Population parameters versus sample statistics.3.4.2 Correlation does not mean causation.3.4.1 Activity 3.7: Does age at first arrest correlate with total number of arrests?.3.3.2 Activity 3.6: Adding a column for median.3.2.5 Activity 3.4: Visualising the relationship - Stacked bar charts, and conditional formatting.3.2.4 Decimal places: A note on formatting cells.3.2.3 Activity 3.3: Calculating row vs column percentages.3.2.2 Row percentage, column percentage, or total percentage.2.5.1 Activity 2.8: Standard Deviation in Excel.2.4.7 Activity 2.7: Calculate quartiles.2.4.5 Activity 2.6: Histograms in Excel.2.4.2 Activity 2.5: Mean and median in Excel.2.3.6 Activity 2.4: Bar charts in Excel.2.3.5 Visualising a frequency table with bar charts.2.3.4 Activity 2.3: Looking at frequency.2.3.3 Creating a frequency table in Excel.2.2.1 The importance of level of measurement.1.12.1 Activity 7: Abstract-ing the unit of analysis.1.11.2 Activity 6: Levels of measurement pt. 2.1.11.1 Activity 5: Levels of measurement pt. 1.1.8.1 Activity 4: Thinking about what our data tells us.1.7.1 Activity 3: Building your own data.1.4.1 Activity 2: Create a folder for this module.1.4 Setting up your working environment.1.3.1 Activity 1: Posting on the discussion board.1.3 Asking a question on the discussion board.1.2 Familiarising yourself with the course. ![]()
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