PinnedKaren Grace-MartinHow to Analyze Pre-Post DataOne area in statistics where I see conflicting advice is how to analyze pre-post data. I’ve seen this myself in consulting. A few years…Jan 22, 2013Jan 22, 2013
PinnedKaren Grace-MartinChoosing and Using Effect Size StatisticsIf you’re in a field that uses Analysis of Variance, you have surely heard that p-values don’t indicate the size of an effect. You also…Jan 13, 2011Jan 13, 2011
PinnedKaren Grace-MartinWhen it Makes Sense to Categorize a Continuous Predictor in a Regression ModelThree Situations When it WorksJul 24, 2009Jul 24, 2009
Karen Grace-MartinOutliers: To Drop or Not to DropShould you drop outliers? Outliers are one of those statistical issues that everyone knows about, but most people aren’t sure how to deal…2d ago12d ago1
Karen Grace-MartinThe Four Stages of Statistical SkillAt The Analysis Factor, we are on a mission to help researchers improve their statistical skills so they can do amazing research.Jun 19Jun 19
Karen Grace-MartinBeyond R-squared: Assessing the Fit of Regression ModelsA well-fitting regression model results in predicted values close to the observed data values. The mean model, which uses the mean for…Jun 12Jun 12
Karen Grace-MartinWhen To Fight For Your Analysis and When To Jump Through HoopsIn the world of data analysis, there’s not always one clearly appropriate analysis for every research question.Jun 5Jun 5
Karen Grace-MartinEM Imputation and Missing Data: Is Mean Imputation Really so Terrible?I’m sure I don’t need to explain to you all the problems that occur as a result of missing data. Anyone who has dealt with missing data —…May 29May 29
Karen Grace-MartinMultiple Imputation in a NutshellImputation as an approach to missing data has been around for decades.May 22May 22
Karen Grace-MartinWhen Assumptions of ANCOVA are IrrelevantEvery once in a while, I work with a client who is stuck between a particular statistical rock and hard place. It happens when they’re…May 151May 151