Samenvatting MTO-C: Technieken voor Causale Analyse
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Course
MTO-C: Technieken voor Causale Analyse (424520B6)
Institution
Tilburg University (UVT)
Van elk college is de informatie behandeld. Er is extra informatie toegevoegd uit oefententamens. Met kleuren zijn tabellen extra uitgelegd, zodat het leren aflezen gemakkelijker wordt.
Inhoud
College 1.................................................................................................................................................4
Zeven technieken voor causale analyse..............................................................................................4
One-way Between-Subjects Analysis of Variance (ANOVA)............................................................5
Voorbeeld ANOVA............................................................................................................................7
ANOVA in SPSS................................................................................................................................7
Assumpties van ANOVA...................................................................................................................8
Levene’s Test in SPSS........................................................................................................................8
Onafhankelijke Waarnemingen..........................................................................................................8
Effect Size..........................................................................................................................................8
Voorbeeld Effect Size.........................................................................................................................9
College 2...............................................................................................................................................10
Pearsons R........................................................................................................................................10
Assumpties van Pearsons Correlatiecoëfficiënt r..............................................................................10
College 3...............................................................................................................................................13
Bivariate regressie............................................................................................................................13
X, Y plotje met Regressielijn............................................................................................................13
R en R² in SPSS................................................................................................................................15
Centreren..........................................................................................................................................17
College 4...............................................................................................................................................18
Elaboratie..........................................................................................................................................18
Partiële Correlatie/Bivariate Regressieanalyse.................................................................................19
Partiële Correlatie in SPSS...............................................................................................................19
Samenhang.......................................................................................................................................19
College 5...............................................................................................................................................21
Multipele Regressieanalyse..............................................................................................................21
Assumpties van Multipele Regressieanalyse....................................................................................21
Hypothesetoetsing in Multipele Regressieanalyse............................................................................22
Multipele Regressieanalyse in SPSS.................................................................................................22
Semi Partiële Correlatie....................................................................................................................22
Venn-diagram...................................................................................................................................23
Semi Partiële Correlatie in SPSS......................................................................................................23
Multicollineariteit.............................................................................................................................23
Detectie multicollineariteit...............................................................................................................24
Variance Inflation Factor..................................................................................................................24
, 2
VIF in SPSS......................................................................................................................................24
Oplossingen voor Multicollineariteit................................................................................................25
Lecture 6...............................................................................................................................................25
Multipele Regressieanalyse met Categorische Variabelen................................................................25
Dummy Variabelen in SPSS.............................................................................................................25
College 7...............................................................................................................................................26
Multiple Regression..........................................................................................................................26
Opsplitsen van Variantie...................................................................................................................26
Significantietest Regressie Model.....................................................................................................26
Toetsen van afzonderlijke regressiecoëfficiënten.............................................................................26
F-Toets voor Modelvergelijking.......................................................................................................27
Multipele Regressieanalyse in SPSS.................................................................................................27
Effect sizes.......................................................................................................................................28
College 8...............................................................................................................................................29
Moderatie..........................................................................................................................................29
Modelleren van een Interactie-Effect................................................................................................29
Toetsen op significantie van het interactie-effect..............................................................................30
Regressiecoëfficiënten in een Regressievergelijking met Interactie.................................................31
College 9...............................................................................................................................................33
Padanalyse........................................................................................................................................33
Soorten Effecten in een Padmodel....................................................................................................33
Voorbeeld Padanalyse......................................................................................................................34
College 10.............................................................................................................................................35
Interveniërende Variabele (Mediator)...............................................................................................35
Voorbeeld Mediatie Effect................................................................................................................35
Sobel Test.........................................................................................................................................35
Voorbeeld Sobel Test.......................................................................................................................36
Padmodel met onbekende effecten...................................................................................................36
Hoorcollege 11.....................................................................................................................................37
Logistische Regressieanalyse...........................................................................................................37
Regressieanalyse in SPSS.................................................................................................................37
Rekenformules voor Transformaties.................................................................................................38
Logistische regressie in SPSS...........................................................................................................38
Odds Ratio........................................................................................................................................39
Hoorcollege 12.....................................................................................................................................40
Toetsen in Logistische Regressie......................................................................................................42
Maximum Likelihood Schatting.......................................................................................................42
, 3
Modeltoets........................................................................................................................................43
Voorbeeld Modeltoets in SPSS.........................................................................................................43
Toets voor Modelvergelijking...........................................................................................................43
Toets voor Modelvergelijking in SPSS.............................................................................................44
Classificatietabel in SPSS.................................................................................................................45
Informatie Tentamen........................................................................................................................45
, 4
College 1
Zeven technieken voor causale analyse
One-Way Between-Subjects Analysis of Variance (ANOVA)
Estimation of Pearson’s (Partial) Correlation Coefficient
Bivariate Regression
Multiple Regression
Elaboration Logic
Path Analysis
Logistic Regression Analysis
Deze zeven technieken schatten hoeveel van de variantie (spreiding van de data) in een afhankelijke
variabele Y systematisch (niet-toevallig) samenhangt (covarieert) met de variantie in een
onafhankelijke variabelen X; De technieken nemen aan dat scores op een afhankelijke variabele
voorspeld kunnen worden door:
X variabelen die zijn gemeten en die als predictor zijn opgenomen in een model waarin zij de
afhankelijke variabele systematisch beïnvloeden.
Variabelen die niet zijn gemeten en die niet als predictor zijn opgenomen in een model, maar
die de afhankelijke variabele wel systematisch beïnvloeden (ἐ = systematische error/residu
genoemd) .
Variabelen die we niet hebben gemeten en die de afhankelijke variabele alleen toevallig
beïnvloeden (ook ἐ = random error/residu genoemd)
Aldus: X Y ἐ, oftewel Y = f(X, ἐ)
Voorbeelden technieken:
One Way Between Subjects Analysis of Variance (ANOVA): Conceptueel model om te
kijken naar de complexiteit van samenhang.
Team waarin iemand werkt (X) organization commitment (Y)
(nominaal/categorisch) (continue schaal: 1= laag, 10= hoog)
Bivariate Regression Analysis: Conceptueel model is hetzelfde als bij ANOVA. De
uitkomsten zijn dan ook hetzelfde. Bivariate regressie vindt niet vaak plaats.
Team waarin iemand werkt (X1) organization commitment (Y)
Multiple Regression Analysis: Conceptueel model met meerdere onafhankelijke variabele en
één afhankelijke variabele.
Path Analysis: Conceptueel model met meerdere onafhankelijke én afhankelijke variabelen
die onderling gerelateerd kunnen zijn.
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