Katholieke Universiteit Leuven (KU LEUVEN) • Pedagogische wetenschappen

These lecture notes cover chapter 8 on logistic regression from the Statistics for Educational Science course: part 3 at KU Leuven. The material covers the theoretical basis of logistic regression versus ordinary linear regression, when you use logistic regression (binary outcomes), data structure and notation, and why linear regression is inappropriate for binary dependent variables. The document is ideal for exam preparation because it clearly explains the core concepts with practical examples...

Lecture annotations for Chapter 7 of Statistics for Educational Science: part 3 at KU Leuven, focusing on special predictors in multiple linear regression. The document covers categorical predictors (dummy coding), quadratic terms for non-linear relationships, and product predictors for interactions, with detailed examples and exercises. Ideal for exam preparation for this part of regression analysis - all core concepts clearly explained with practical applications.

Comprehensive lecture notes for Chapter 6 on multiple linear regression from Statistics for Educational Science: part 3 at KU Leuven. The notes cover the purpose of MLR, the difference with simple linear regression, regression weights controlled by other predictors, part correlations, and practical examples such as the “pace of life” study. Ideal for exam preparation and understanding how to analyse multifactorial relationships and filter out false correlations.

Lecture notes and exercises covering Repeated Measures ANOVA (Part 1) from the Statistics for Educational Science course at KU Leuven. Topics include within-subject designs, the conceptual foundation for repeated measures analysis, split-plot designs combining within-subject and between-subject factors, paired t-tests, and contrast coding with worked examples on e-cigarette craving studies and computer interface performance. Essential for understanding how to analyze dependent observations and a...

Lecture notes from HS5 on simple linear regression, part of the Statistics for Educational Science: part 3 course at KU Leuven. Covers the fundamentals of linear regression modeling, including research question formulation, independent and dependent variables, data notation, descriptive statistics, correlation interpretation, regression model assumptions, and the concept of the regression line as a conditional mean. Includes worked exercises and solutions demonstrating how to apply regression fo...

Comprehensive lecture notes for Chapter 4 of Statistics for Educational Science: part 3 at KU Leuven, focusing on two-way ANOVA and multifactorial designs. The document covers the analysis of two-factor variance, main effects, interaction effects, balanced models, and degrees of freedom calculations with practical examples (such as heart rate research with gender and training behavior). Ideal for exam preparation thanks to clear explanations of core concepts, step-by-step calculations, and visua...

These lecture notes cover Chapter 3 on Contrasts from the Statistics for Educational Science course: part 3 at KU Leuven. The material includes contrast notation, types, sampling distributions, planned contrasts (one and more), and post hoc contrasts, with an emphasis on translating research questions into targeted mean comparisons after ANOVA. Ideal for exam preparation for Educational Sciences, with a clear explanation of contrast coefficients, assumption testing, and correction methods such a...

Comprehensive notes from the One-way ANOVA (Chapter 2) lecture for Statistics for Educational Science: part 3 at KU Leuven. The document covers the core concepts of one-way ANOVA, including hypothesis testing, multi-group research design, residue analysis, and model testing, with practical examples such as the eye color experiment and brand attitude. These notes are ideal for exam preparation because all steps of data analysis work schedule are clearly explained and the ANOVA assumptions are dis...

These notes cover Statistics for Educational Science (part 3) at KU Leuven. The core of the material includes the data analysis workflow, formulation of null hypothesis and alternative hypothesis, z-tests and t-tests, p-values, one-tailed and two-tailed tests, Type 1 and Type 2 errors, and inference for comparing two population means. The document contains practical examples (such as the social skills test between two schools) with full effects and JASP output, making it ideal for exam preparati...

Summary of educational quality and effectiveness: slides and lesson notes

This is a summary of the history of education course. The course is taught in English, so this summary has also mainly been retained in English. Sometimes there are Dutch phrases/frames or sometimes words have been translated in brackets to make it clearer. The document contains everything from the ppt's (including photos) and English notes from the lesson (including occasionally translated sentences). I passed this summary the first time and achieved a 15/20.

Notes from the lectures Statistics for Educational Scientists Part 3 (), combined with information from the Powerpoint. Also contains all the exercises used in the lectures, solved and often with explanations as to why one answer is correct.

dit is een beknopte samenvatting van alle teksten uit het deeltje LANGUAGE van het OPO 'Mathematics & Language Education' zoals gedoceerd in 2022-2023 door prof. Wim Van Dooren Disclaimer: document in het Engels geschreven, enkel de 2 teksten van 'Writing' zijn in het Nederlands!

dit is een beknopte samenvatting van alle teksten uit het deeltje MATHEMATICS van het OPO 'Mathematics & Language Education' zoals gedoceerd in 2022-2023 door prof. Wim Van Dooren

This glossary was useful for finding all the words during the open book exam. At the exam, I got a score of 14/20

Deze samenvatting bevat alle lessen van migration & culture in educational relationships. Met deze samenvatting behaalde ik een 14/20 op het examen. De samenvatting is in het Engels.

samenvatting van alle leerstof die in de lessen werd besproken van het deeltje LANGUAGE (inclusief powerpoints). Dit is een actuele samenvatting van dit academiejaar, aangezien dit vak nu wordt gecodeerd door prof. Wim Vandooren! Je vindt de samenvatting van het deeltje MATHEMATICS ook op mijn Stuvia-account. Ze zijn ook beschikbaar in een bundel!

This is a complete summary of OPO P0r44a's Mathematics section 'Mathematics & Language Education' using powerpoints and physical lessons. You can also find the “Language” section on my Stuvia account!

The lectures are briefly summarized in detail

This includes a preparation that you can take with you to the exam