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Zoekresultaten (13)

HBO/WO

MBO

6 juni 2025

Multilevel modeling for social scientists

The course builds on the knowledge and skills acquired in the previous methods courses. The course will introduce students to multivariate analyses of nested data using multilevel modeling techniques. The course focuses on the theory and application of fixed and, in particular, random effects models. Using data from the European Social Survey, the students will learn how to estimate and interpret such as models using Stata.

Document

Alex Lehr

6 juni 2025

How To Write A Quantitative Research Paper

So, you need to write a ‘quantitative’ research paper, and you want to know: what is the correct way of writing such a paper? The answer is, unfortunately: it depends … For one, there is no universally accepted, ‘correct’ way of writing any paper in the social sciences in general. Moreover, even just within the so-called ‘quantitative’ research tradition specifically, there exist different viewpoints on what makes for a good research paper. To muddy things up even further, how to write a paper will also depend on the specific research question(s) that it addresses. Hence, even the same scientist might opt for varying approaches in different papers. Having said that, it is possible to identify some common rules and practices that are often followed, as well as a number of practices that should generally be avoided. Based on these common rules and practices, this document is meant to help you on your way with writing a ‘quantitative’ research paper by offering a number of tips, tricks and rules-of-thumb. None of these rules and practices are set in stone, and you (or your teacher/supervisor) may have excellent arguments to deviate from them. However, in general, following them will greatly increase the quality of your paper.

Document

Alex Lehr, Roderick Sluiter

23 augustus 2023

Lecture: Decision Networks

Naive Bayesian networks Bayesian networks Decision networks Students can define a multivariate joint distribution: multinomial and Gaussian Students can explain the difference between association versus causation Students can define observational, causal, and counterfactual inference Students can define fairness using observational and counterfactual reasoning

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HCAIM Consortium

23 augustus 2023

Lecture: Understanding data

Learner acquires demonstrable knowledge of data forms used in AI. Learner can talk about data using the right terminology (e.g., features, variables, observations). Learner knows the different data types and knows how to transform them (e.g., nominal, ordinal). Learner knows the most common measures for data description (e.g., mean, median, standard deviation) and knows how to calculate them. Learner acquires demonstrable knowledge of how data are described via measures and visualisation. Learner knows the most common graphs and knows how to pick a visualisation, matching the given data.

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HCAIM Consortium

2023

Lecture Notes chapter 6: Empirical Research Process

This "Maker Lab" course focuses on supporting student open inquiries. In other words, students are tasked with doing empirical scientific research and thereby constructing scientific knowledge. This document aims to outline what this entails, and does so by closely following work by Carl Wieman* and Natasha Holmes**. Note: If you do not (yet) have Jupyter Notebook, you cannot fully utilize the .ipynb file. But the attached PDF will give an idea of its content and functionality. Note also: In order to interact with and fully utilize the Jupyter Notebook documents (including their hyperlinks and pointers to data and image files), it is helpful to save the entire collection locally in a way that preserves the original directory structure. This is easiest to accomplish by downloading all files at once via the JupyterPython-materials zip file and unpacking it (extracting the files) to your preferred local directory. This zip file of all Jupyter Notebook materials is located here: https://search.edusources.nl/materialen/d144774e-9705-489a-b3cd-28e3618f7324 C. Wieman, “Comparative cognitive task analyses of experimental science and instructional laboratory courses”, Phys.Teach. 53, 349 (2015). http://www.cwsei.ubc.ca/SEI_research/files/Wieman_CTA_PT2015.pdf ** N. G. Holmes and C. Wieman, “Examining and contrasting the cognitive activities engaged in undergraduate research experiences and lab courses”, Phys. Rev. Phys. Educ. Res. 12, 020103 (2016). https://journals.aps.org/prper/pdf/10.1103/PhysRevPhysEducRes.12.020103

Document

Forrest Bradbury

1 februari 2021

Linear and logistic regression for social scientists

A course on the theory and application of one the most widely applied methods in the social sciences: regression analysis. Learn about what it is, how it works, when it’s (not) useful.

Video

Alex Lehr

8 mei 2018

10-16: Data analysis (descriptive)- micro lecture THE EFFECT OF THIRD VARIABLES: CONFOUNDING

In this micro lecture the following items will be explained regarding this lecture: Understanding the potential effect of ‘third’ variables, more specifically “Explanation/Confounding”

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Henk van der Kolk

8 mei 2018

03-06: Theory - micro lecture THE EFFECT OF THIRD VARIABLES: CONFOUNDING

In this micro lecture the following items will be explained regarding this lecture: Understanding the potential effect of 'third' variables, more specifically 'explaination/confounding'

Website

Henk van der Kolk

8 mei 2018

03-04: Theory - micro lecture THE EFFECT OF THIRD VARIABLES

In this micro lecture the following items will be explained regarding this lecture: Understanding the potential effect of a third variable (spurious relationships) Discussing two effects: Explaination/confounding 2)Specification/interaction/modification

Website

Henk van der Kolk

8 mei 2018

10-14: Data analysis (descriptive)- micro lecture THE EFFECT OF THIRD VARIABLES

In this micro lecture the following items will be explained regarding this lecture: Understanding the potential effect of ‘third’ variables (spurious relationships) I discuss two effects: Explanation/Confounding Specification/ Interaction/ modification

Website

Henk van der Kolk