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