Publications by Jens Roeser
Tutorial on Bayesian mixture models
Tutorial: fitting mixed-effects and log-Gaussian mixture models on text-writing data Tutorial: fitting mixed-effects and log-Gaussian mixture models on text-writing data Preparing the data Uni-modal mixed-effects models Gaussian mixed-effects model Model Priors Initiate sampling Fitting the model Log-Gaussian mixed-effects model Model Priors ...
30601 sym Python (32939 sym/93 pcs) 10 img
Behavioral stability in writing process measures
1 Data analysis For analysis we transformed all behavioral measures as follows. Count data because they are zero bound were first incremental by a value of 1 and then log transformed; proportions (data that ranged between 0 and 1) were logit scaled. Then, all outcome values were standardized (scaled and centered). # Data data <- read_csv(file = "...
4764 sym Python (6854 sym/6 pcs) 5 img 3 tbl
Modelling writing hesitations in text writing as finite mixture process
1 Analysis 2 Data processing 3 C2L1 3.1 Model comparisons 3.2 Posterior parameter estimates of mixture model 4 CATO 4.1 Model comparisons 4.2 Posterior parameter estimates of mixture model 5 SPL2 5.1 Methods 5.2 Model comparisons 5.3 Posterior parameter estimates of mixture model 6 PLanTra 6.1 Methods 6.2 Model comparisons 6.3 Posterior pa...
9809 sym 13 img 7 tbl
Real time updating for writing process data (simulation)
Simulate data: lookbacks Off-line parameter-value estimation On-line parameter-value estimation Real data: Comparison for extreme value classification References Real-time updating for writing-process data – Simulation Jens Roeser Compiled Oct 04 2022 The following will demonstrate that we can use an on-line (incremental) parameter approx...
8878 sym 6 img
Reproducible data analysis using RMarkdown documentation
Aims for today Introducing the data I’ll use in my sessions. Sorting out our RStudio working environment. Getting you ready to produce reproducible reports in RMarkdown. Example data set: Blomkvist et al. (2017) Age-related changes in cognitive performance through adolescence and adulthood in a real-world task. Real-world task: StarCraft 2 ...
13098 sym R (4057 sym/40 pcs) 10 img
Statistics III -- Module Overview
About us: Jens Roeser Senior lecturer in psycholinguistics @ psychology department (Nottingham Trent University) Theory: psycholinguistics; language production / comprehension / acquisition (e.g. Roeser, Torrance, and Baguley 2019) Methods: Bayesian modelling (talk to me about mixture models, Roeser et al. 2021) in Stan; keystroke logging; eyetr...
12402 sym 6 img 1 tbl
Normal linear models
Regression models Often introduced as fitting lines to points. Limited perspective that makes more complex regression models, like generalised linear models, hard to understand. Backbone of statistical modelling For multiple / simple linear regressions, t-tests, ANOVAs, ANCOVAs, MANCOVAs, time series models Basis for path analysis, structural eq...
20840 sym Python (8628 sym/139 pcs) 25 img
Slides for model comparisons workshop
Update your workshop repository Go to github.com/jensroes/stats-iii Download the repository Extract the model-comparison folder Why do we need model comparion? “All models are wrong, but some are useful” George E.P. Box Models are statistical representations of a hypothesis. We want to compare hypotheses. How useful is my model compared t...
14662 sym R (7485 sym/115 pcs) 20 img
A cumulative ordinal model of text quality as a function of writing process measures
1 Modelling text quality as a function of writing process measures 2 Predicting text quality on the basis of incrementally obtained writing process estimates References Ordinal model of text quality Jens Roeser Compiled Oct 05 2022 1 Modelling text quality as a function of writing process measures Text quality is assessed by a set of rubric...
3680 sym Python (2473 sym/2 pcs) 2 img
A cumulative ordinal model of text quality as a function of writing process measures
1 Modelling text quality as a function of writing process measures 2 Predicting text quality on the basis of incrementally obtained writing process estimates References Ordinal model of text quality Jens Roeser Compiled Oct 06 2022 1 Modelling text quality as a function of writing process measures The quality rating assigned to a particular...
8906 sym Python (2473 sym/2 pcs) 2 img