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Summary Discovering Statistics Using IBM SPSS Statistics 26th Dec 2022 $5.49
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Summary Discovering Statistics Using IBM SPSS Statistics 26th Dec 2022
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  • EDU 202
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  • Vrije Universiteit Amsterdam (VU)
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  • Discovering Statistics Using IBM SPSS

2.1.2 Erecode intro variabel Je kunt uit een groep met verschillende soorten voetballers (bijvoorbeeld 1 = verdedigers, 2 = middenvelders, 3 = aanvallers en 4 = keepers) een variabele van keeper of geen keeper maken. De nieuwe variabele wordt dan 1 = keeper en 0 = geen keeper. Deze omzetting is ...

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  • December 26, 2022
  • 63
  • 2022/2023
  • Summary

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  • summary statistics
  • summary discovering statistics using ibm spss statistics
  • summary discovering statistics
  • discovering statistics using ibm spss statistics

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  • Vrije Universiteit Amsterdam (VU)
  • Discovering Statistics
  • EDU 202
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Summary - book "Discovering Statistics Using IBM SPSS
Statistics"

Statistics (Radboud Universiteit Nijmegen)




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Samenvatting
Discovering Statistics Using SPSS




Auteur: Andy Field

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Inhoudsopgave

INHOUDSOPGAVE...............................................................................................2
1 DATA...................................................................................................................5
1.1 SPLIT FILE 5
1.2 SELECT CASES 5
1.3 SORT CASES 5
2 TRANSFORM.....................................................................................................6
2.1 RECODE 6
2.1.1 Recode into the same variable 6
2.1.2 Recode into different variables 6
2.2 COMPUTE 7
3 ANALYZE............................................................................................................8
3.1 DESCRIPTIVE STATISTICS 8
3.1.1 Frequencies 8
3.1.2 Descriptives 8
3.1.3 Explore 8
3.2 CORRELATIES 10
3.3 REGRESSION 10
3.4 REGRESSIE IN SPSS 12
3.4.1 Statistics: 13
3.5 COMPARING TWO MEANS 14
3.5.1 Algemene informatie 14
3.5.2 Assumptions voor een t-test 14
3.5.3 De verschillende testen in SPSS 14
3.5.4 Uitkomst t-test 15

4 GRAPHS...........................................................................................................16
4.1 SCATTERPLOTS 16
5 EXTRA..............................................................................................................17
5.1 OUTLIERS 17
5.2 ANOVA VS MULTIPLE REGRESSION 17
17
6 MULTIPLE LINEAR REGRESSION.................................................................18
6.1 CODING ERRORS 18
6.2 RUN BASIC REGRESSION ANALYSES 18
6.3 RUN EEN COMPLEET REGRESSION MODEL 19
6.4 INTERACTION EFFECTS 21
6.5 IS THERE A LINEAR RELATION? 21
6.6 OUTLIERS 22
6.7 MULTICOLLINEARITY 22
6.8 CHECK DE REGRESSION ASSUMPTIONS 23
6.9 EXPLAIN WHAT YOU FOUND (GENERAL CONCLUSION) 24
7 ANOVA..............................................................................................................25
7.1 ALGEMEEN 25
7.1.1 Assumptions for ANOVA 25
7.1.2 Contrasten 25
7.1.3 Regels voor opsplitsen contrasten 25
7.1.4 Weights 26
7.1.5 Onafhankelijkheid contrasten 26


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7.1.6 Post hoc testen 27
7.2 ONE-WAY ANOVA IN SPSS 27
7.2.1 Simpele ANOVA 27
7.2.2 ANOVA met contrasten 27
7.3 OUTPUT ANOVA 28
8 ANCOVA...........................................................................................................29
8.1 INTERPRETATIE 30
8.1.1 Toevoegen covariate (ANCOVA) 31
8.1.2 Levene’s test is significant!!! 31
8.1.3 Homogeneity of regression slopes 32
8.1.4 Checken met scatterplot 33
8.1.5 Output: 33

9 FACTORIAL ANOVA........................................................................................34
9.1 INTERACTIE 34
9.2 FACTORIAL ANOVA IN SPSS 35
9.2.1 Model 36
9.2.2 Contrasts 36
9.2.3 Plot 36
9.2.4 Post hoc 36
9.2.5 Options 36
9.2.6 Covariates 36
9.3 INTERPRETATIE VAN DE RESULTATEN 37
9.3.1 Test of between subjects effects 37
9.3.2 Parameter estimates 37

10 REPEATED MEASURES...............................................................................38
10.1 SPERICITY 38
10.2 ASSUMPTIONS VOOR REPEATED MEASURES 38
10.3 REPEATED MEASURES IN SPSS 38
10.4 OUTPUT SPSS 39
10.4.1 Greenhouse-Geisser 39
10.4.2 Voorbeeldantwoord repeated measures 40

11 MIXED MODELS............................................................................................41
11.1 STAPPENPLAN INVOEREN MIXED MODEL 41
11.2 INTERPRETEREN OUTPUT 43
12 FACTOR ANALYSIS (CHAPTER 15 BOEK).................................................49
12.1 VERSCHIL MULTIPLE REGRESSION EN FACTOR ANALYSE 49
12.2 FACTORS 49
12.2.1 R-matrix 49
12.3 COMMUNALITY 50
12.3.1 Communality en factor analyse 50
12.4 FACTOR ANALYSIS IN SPSS 50
12.5 OUTPUT SPSS 54
12.6 HOE GA JE DE NIEUWE GEGEVENS GEBRUIKEN? 55
12.7 STAPPENPLAN IN HET KORT 55
12.8 EXTRA 56
12.9 VRAGEN AAN SNIJDERS 56
12.10 VOORBEELD UIT BOEK: SPSS ANXIETY 56
12.10.1 Sample size en KMO measure 56
12.10.2 Screen de data 56
12.10.3 Descriptives (start van de analyse in SPSS) 57
12.10.4 Extraction (input) 57
12.10.5 Rotation (input) 57
12.10.6 Scores (input) 57
12.10.7 Options (input) 57
12.10.8 Het data screenen (output) 57



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