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Zoekresultaten (6)

HBO/WO

MBO

2 september 2023

Evaluating information & data: Lies and statistics

Lies and statistics Many students love using statistics in their papers. Statistics can lend your story more weight and give the reader a feeling of having insight into or a clear view of the material, which would not be have been possible without the figures. Examples Some examples of why you should be careful with numbers and figures you find on the Internet. Related. Suggested.

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Erasmus University Library

1 januari 2021

Introduction to Academic Research

This is the textbook (reader) for the course Introduction to Academic Research, taught at the Faculty of Spatial Sciences, University of Groningen. This is a compilation of four chapters from 3 different textbooks that are classified as open educational resources (OER) and together provide the accompanying literature for the course. The chapters cover the following topics: Academic research and the research process What are spatial sciences? Theories in scientific research Research ethics The original sources of the chapters in this textbook are mentioned on every page. These texts are taken almost verbatim from the mentioned sources; small adjustments have been made for the consistency of referencing, providing a little context, or aligning the numbering of sections.

Open (Access) Tekst Boek

Sander van Lanen

8 mei 2018

03-02: theory - micro lecture CROSS SECTIONAL STUDIES

In this micro lecture the following items will be explained regarding this micro lecture: Introducing cross-sectional research Some threats to causal inference in cross-sectional research

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Henk van der Kolk

8 mei 2018

10-20: Data analysis (descriptive)- micro lecture VARIANCE AND STANDARD DEVIATION

In this micro lecture the following items will be explained regarding this lecture: In this first module, we’ll introduce the basic concepts of descriptive statistics. We’ll talk about cases and variables, and we’ll explain how you can order them in a so-called data matrix. We’ll discuss various levels of measurement and we’ll show you how you can present your data by means of tables and graphs. We’ll also introduce measures of central tendency (like mode, median and mean) and dispersion (like range, interquartile range, variance and standard deviation). We’ll not only tell you how to interpret them; we’ll also explain how you can compute them. Finally, we’ll tell you more about z-scores. In this module we’ll only discuss situations in which we analyze one single variable. This is what we call univariate analysis. In the next module we will also introduce studies in which more variables are involved

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Henk van der Kolk

8 mei 2018

10-10: Data analysis (descriptive)- micro lecture IQR AND BOX PLOT

In this micro lecture the following items will be explained regarding this lecture: In this first module, we’ll introduce the basic concepts of descriptive statistics. We’ll talk about cases and variables, and we’ll explain how you can order them in a so-called data matrix. We’ll discuss various levels of measurement and we’ll show you how you can present your data by means of tables and graphs. We’ll also introduce measures of central tendency (like mode, median and mean) and dispersion (like range, interquartile range, variance and standard deviation). We’ll not only tell you how to interpret them; we’ll also explain how you can compute them. Finally, we’ll tell you more about z-scores. In this module we’ll only discuss situations in which we analyze one single variable. This is what we call univariate analysis. In the next module we will also introduce studies in which more variables are involved.

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Henk van der Kolk

8 mei 2018

10-03: Data analysis (descriptive)- micro lecture CENTRAL TENDENCY: MODE, MEDIAN AND MEAN

In this micro lecture the following items will be explained regarding this lecture: Understanding various meanings of the words ‘causal explanation’. In this first module, we’ll introduce the basic concepts of descriptive statistics. We’ll talk about cases and variables, and we’ll explain how you can order them in a so-called data matrix. We’ll discuss various levels of measurement and we’ll show you how you can present your data by means of tables and graphs. We’ll also introduce measures of central tendency (like mode, median and mean) and dispersion (like range, interquartile range, variance and standard deviation). We’ll not only tell you how to interpret them; we’ll also explain how you can compute them. Finally, we’ll tell you more about z-scores. In this module we’ll only discuss situations in which we analyze one single variable. This is what we call univariate analysis. In the next module we will also introduce studies in which more variables are involved

Website

Henk van der Kolk