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Analysis of Own Data

Vak 2012-2013

Admission requirements

MSc Psychology (research) students

Description

This module takes place simultaneously with the data analyses for the research masters’ thesis, which is in the second year, second semester for most students. This is quite a special course in the sense that it does not consist of lectures or work groups but students are instructed individually. This means that students following the research master programme are obliged to bring there own data to the instructors. Then they get advice by which technique they can analyse their data.

The idea is that students get advice about alternative techniques to analyse their thesis data. For instance, data from experiments are most often analysed by univariate Analysis of Variance, however, a multivariate of Analysis of Variance may be more appropriate. Also other alternatives are quite often possible, like Discriminant Analysis, Structural Equation Models and Multilevel Analysis.

Students are asked to analyse their own data with alternative statistical methods and to make a report of the results. Students will be assigned to a staff member of the methodology and statistics unit in order to decide which alternative analysis can be used and how to report on the analyses.

Timetable

Lectures
Exams

Course objectives

  • During the writing of their master thesis, students learn to use alternative methods for analysing their data.
  • Students learn to apply several techniques on the same date set and to interpret the different results.

Mode of instruction

Individual instruction

Assessment method

The assessment is based on the final report written for this course.

From January 1, 2006 the Faculty of Social Sciences has instituted the Ephorus system to be used by instructors for the systematic detection of plagiarism in students’ written work. Please see the information concerning fraud .

Blackboard

Information on blackboard.leidenuniv.nl

Reading list

Capita Selecta

Contact information

Dr. M. de Rooij
Room 3B14
Tel.: +31 (0)71 527 4102
E-mail: rooijm@fsw.leidenuniv.nl