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Zoekresultaten (6)

HBO/WO

MBO

3 maart 2026

Quick and dirty reliability and factor analysis with SPSS syntax assignment

SPSS syntax assignment for teaching the basics of reliability and factor analysis. For when you need to teach or learn the basics but don't have a lot of time for it. Covers inter-item correlations, Cronbach's alpha, and factor analysis (unrotated, varimax and oblimin rotation). Uses European Social Survey data. Includes questions and some basic explanations. Intended to be used in conjunction with a preceeding lecture.

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Alex Lehr

8 februari 2023

Numerical Methods for Ordinary Differential Equations

In this book we discuss several numerical methods for solving ordinary differential equations. We emphasize the aspects that play an important role in practical problems. We confine ourselves to ordinary differential equations with the exception of the last chapter in which we discuss the heat equation, a parabolic partial differential equation. The techniques discussed in the intro-ductory chapters, for instance interpolation, numerical quadrature and the solution to nonlinear equations, may also be used outside the context of differential equations. They have been in-cluded to make the book self-contained as far as the numerical aspects are concerned. Chapters, sections and exercises marked with a * are not part of the Delft Institutional Package. The numerical examples in this book were implemented in Matlab, but also Python or any other programming language could be used. A list of references to background knowledge and related literature can be found at the end of this book. Extra information about this course can be found at http://NMODE.ewi.tudelft.nl, among which old exams, answers to the exercises, and a link to an online education platform. We thank Matthias Moller for his thorough reading of the draft of this book and his helpful suggestions.

Open (Access) Tekst Boek

Kees Vuik, Fred Vermolen, Martin van Gijzen, Thea Vuik

8 mei 2018

02-07: Concepts - micro lecture FACTOR ANALYSIS WITH MORE THAN ONE FACTOR

In this micro lecture the following items will be explained regarding this lecture: Reducing a set of (survey) items to a limited set of factors or dimensions Extraction of factors Communality of items Eigenvalue of factors Selecting the number of factors using 'Kaiser's criterion'

Website

Henk van der Kolk

8 mei 2018

06-07: Scale index construction and assessment - micro lecture FACTOR ANALYSIS WITH MORE THAN ONE FACTOR

In this micro lecture the following items will be explained regarding this lecture: Reducing a set of (survey) items to a limited set of factors or dimensions Extraction of factors Communality of items Eigenvalue of facotra Selecting the number of factors using Kaiser's criterion

Website

Henk van der Kolk

8 mei 2018

06-20: Scale index construction and assessment - micro lecture SELECTING FACTORS IN FACTOR ANALYSIS

In this micro lecture the following items will be explained regarding this lecture: Selecting the appropriate number of factors/dimensions in exploratory factor analysis Three criteria: Eigenvalues and Kaiser's criterion Scree plot and elbow criterion Interpreting factor loadings (after rotation)

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Henk van der Kolk

8 mei 2018

02-13: Concepts - micro lecture SELECTING FACTORS IN FACTOR ANALYSIS

In this micro lecture the following items will be explained regarding this lecture: Selecting the appropriate number of factors/dimensions in exploratory factor analysis Three criteria: Eigenvalues and Kaiser's criterion Scree plot and elbow criterion Interpreting factor loadings (after rotation)

Website

Henk van der Kolk