Blog archive

Date Title
Sep 10, 2024 Exact significance tests for 2 × 2 tables
Sep 4, 2024 New and updated teaching resources
Mar 7, 2023 Adjusting to Julia: Piecewise regression
Feb 23, 2023 Adjusting to Julia: Tea tasting
Feb 9, 2023 Adjusting to Julia: The Levenshtein algorithm
Dec 20, 2022 Adjusting to Julia: Generating the Fibonacci sequence
Feb 18, 2022 In research, don’t do things you don’t see the point of
Feb 17, 2022 An R function for computing Levenshtein distances between texts using the word as the unit of comparison
Jun 29, 2021 The consequences of controlling for a post-treatment variable
Dec 16, 2020 Quantitative methodology: An introduction
Sep 2, 2020 Capitalising on covariates in cluster-randomised experiments
Jun 29, 2020 Tutorial: Visualising statistical uncertainty using model-based graphs
Jun 12, 2020 Interpreting regression models: a reading list
May 23, 2020 Tutorial: Obtaining directly interpretable regression coefficients by recoding categorical predictors
May 23, 2020 Nonparametric tests aren’t a silver bullet when parametric assumptions are violated
Feb 18, 2020 Baby steps in Bayes: Incorporating reliability estimates in regression models
Jan 21, 2020 Baby steps in Bayes: Accounting for measurement error on a control variable
Dec 5, 2019 Five suggestions for simplifying research reports
Nov 28, 2019 Adjusting for a covariate in cluster-randomised experiments
Nov 28, 2019 Drawing scatterplot matrices
Sep 11, 2019 Collinearity isn’t a disease that needs curing
Aug 7, 2019 Interactions in logistic regression models
Apr 16, 2019 Walkthrough: A significance test for a two-group comparison
Apr 11, 2019 Before worrying about model assumptions, think about model relevance
Jan 14, 2019 Guarantees in the long run vs. interpreting the data at hand: Two analyses of clustered data
Dec 20, 2018 Baby steps in Bayes: Recoding predictors and homing in on specific comparisons
Oct 29, 2018 A closer look at a classic study (Bailey et al. 1974)
Sep 26, 2018 Introducing cannonball - Tools for teaching statistics
Sep 12, 2018 Looking for comments on a paper on model assumptions
Jul 27, 2018 Baby steps in Bayes: Piecewise regression with two breakpoints
Jul 6, 2018 A data entry form with failsafes
Jul 4, 2018 Baby steps in Bayes: Piecewise regression
Jun 27, 2018 A brief comment on research questions
Apr 25, 2018 Checking model assumptions without getting paranoid
Feb 12, 2018 Consider generalisability
Nov 20, 2017 Increasing power and precision using covariates
Nov 20, 2017 Suggestions for more informative replication studies
Sep 19, 2017 Confidence interval-based optional stopping
Sep 14, 2017 Creating comparable sets of stimuli
Jul 14, 2017 Abandoning standardised effect sizes and opening up other roads to power
Jun 26, 2017 Fitting interactions between continuous variables
May 12, 2017 Tutorial: Adding confidence bands to effect displays
Apr 23, 2017 Tutorial: Plotting regression models
Feb 22, 2017 Confidence intervals for standardised mean differences
Feb 15, 2017 Which predictor is most important? Predictive utility vs. construct importance
Jan 31, 2017 Automatise repetitive tasks
Dec 20, 2016 A few examples of bootstrapping
Nov 21, 2016 What data patterns can lie behind a correlation coefficient?
Nov 16, 2016 Common-language effect sizes
Oct 31, 2016 The Centre for Open Science’s Preregistration Challenge: Why it’s relevant and some recommended background reading
Aug 30, 2016 Tutorial: Drawing a dot plot
Aug 18, 2016 R tip: Ordering factor levels more easily
Jul 5, 2016 Classifying second-language learners as native- or non-nativelike: Don’t neglect classification error rates
Jun 21, 2016 Tutorial: Drawing a boxplot
Jun 13, 2016 Tutorial: Drawing a line chart
Jun 2, 2016 Tutorial: Drawing a scatterplot
May 18, 2016 Surviving the ANOVA onslaught
Apr 22, 2016 Why reported R² values are often too high
Apr 1, 2016 On correcting for multiple comparisons: Five scenarios
Feb 23, 2016 Silly significance tests: The main effects no one is interested in
Feb 16, 2016 Experiments with intact groups: spurious significance with improperly weighted t-tests
Dec 14, 2015 Some advantages of sharing your data and code
Nov 17, 2015 Drawing a scatterplot with a non-linear trend line
Nov 2, 2015 Causes and consequences of unequal sample sizes
Oct 16, 2015 The problem with cutting up continuous variables and what to do when things aren’t linear
Sep 17, 2015 Analysing experiments with intact groups: the problem and an easy solution
Sep 2, 2015 Covariate adjustment in logistic mixed models: Is it worth the effort?
Aug 24, 2015 Controlling for confounding variables in correlational research: Four caveats
Jul 17, 2015 Covariate adjustment in logistic regression — and some counterintuitive findings
Jun 18, 2015 Some tips on preparing your data for analysis
Jun 8, 2015 Silly significance tests: Tests unrelated to the genuine research questions
Apr 14, 2015 Power simulations for comparing independent correlations
Mar 16, 2015 More on why I don’t like standardised effect sizes
Mar 3, 2015 A more selective approach to reporting statistics
Feb 26, 2015 Explaining key concepts using permutation tests
Feb 21, 2015 Thinking about graphs
Feb 5, 2015 Why I don’t like standardised effect sizes
Jan 14, 2015 Overaccuracy and false precision
Jan 7, 2015 Some alternatives to bar plots
Nov 18, 2014 The curious neglect of covariates in discussions of statistical power
Oct 28, 2014 Assessing differences of significance
Oct 15, 2014 Silly significance tests: Tautological tests
Sep 26, 2014 Silly significance tests: Balance tests
Sep 12, 2014 A purely graphical explanation of p-values
Aug 20, 2014 Calibrating p-values in ‘flexible’ piecewise regression models
Aug 14, 2014 Analysing pretest/posttest data
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