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Cursus: 202000327
202000327
Data Analysis I
Cursus informatie
Cursus202000327
Studiepunten (ECTS)6
CursustypeOnderwijseenheid
VoertaalEngels
ContactpersoonJ. van Straalen - Pas
E-mailj.pas@utwente.nl
Docenten
Docent
dr. C.H.C. Drossaert
Docent
dr.ir. G.J.A. Fox
Docent
J. van Straalen - Pas
Contactpersoon van de cursus
J. van Straalen - Pas
Docent
M.E. van der Velde
Collegejaar2021
Aanvangsblok
1B
AanmeldingsprocedureZelf aanmelden via OSIRIS Student
Inschrijven via OSIRISJa
Cursusdoelen
At the end of the module:
  • Students are able to carry out simple and multiple regression analyses on a given data set using R for statistics
  • Students can interpret all standard output of simple regression and multiple regression using R for statistics (including ANOVA table and Parameter estimates table).
  • Students know how to code categorical variables into dummy variables and carry out and interpret F-tests.
  • Students are familiar with the basic concepts of inference: confidence intervals, standard errors, t-tests and F-tests, null hypothesis testing and p-values, and know the distinction between the sample data and the population that one wants to make inferences about.
  • Students know how to check the assumptions of linear regression and are able to use nonparametric alternatives in case assumptions are not met (Kruskal-Wallis, Spearman and Kendall).
  • Students know how to present data analysis results in a report following APA guidelines.

 
Inhoud
This Research Methods study unit is part of the module Social Behaviour (202000325). The study unit provides a foundation for an essential ingredient of conducting research: quantitative data analysis. It introduces the basic notions of inferential data analysis through a practice-oriented approach.
In this study unit students are introduced into the basic notions of data analysis that would allow them to make inferences about populations on the basis of a randomly sampled data set. The course uses the regression model as the basic skeleton and introduces confidence intervals, null-and-alternative hypotheses, t-tests, interactions, dummy variables, statistical power, and analysis of variance within the unifying linear model framework. In addition, it familiarizes students with the logic and implementation of non-parametric statistical analysis. The way in which these methods are to be performed are illustrated using research examples. The software used is R for statistics.

 
Modulebeschrijving
This study unit is part of the module Social Behaviour (202000325). A module is offered as one educational unity and students take it as such.
Participating study
Bachelor Psychologie
Module
Module 2
Verplicht materiaal
Book
Van den Berg, S.M. (2020) Analyzing data using linear models (will be online available for students for free).
Aanbevolen materiaal
-
Werkvormen
Vragenuur

Werkcollege

Zelfstudie geen begeleiding

Toetsen
Written test

Handing in assignments

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