Alle aansturingen voor het tentamen Statistiek (SOW-CWB0028) 2021
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Course
Statistiek (SOWCWB0028)
Institution
Radboud Universiteit Nijmegen (RU)
In dit document vind je alle aansturingen voor het tentamen van statistiek (SOW-CWB0028). Deze toetsen worden allemaal behandeld in de cursussen en geeft een fijn hulpmiddel tijdens het open boek tentamen.
SPSS aansturingen
Toets Aansturing
ANOVA – twee variabelen Analyze → compare means → oneway ANOVA → onafhankelijk in
(bi) factor → afhankelijk in dependent → options → descriptives →
homogenity of variance test → brown forsythe → welch → continue
→ post hoc → bonferoni → games-howell → continue → paste
ANOVA – twee x- Analyze → General Lineair Model → Univariate → afhankelijk in
variabelen en een dependent → onafhankelijk in fixed factors → options → descriptive
interactie/moderator statistics → homogenity tests → continue → plots → variabele1
horizontal add → variabele2 horizontal add → variabele met meeste
waarden hortizontal add → variabele met minste waarden seperate
lines add → continue → paste
Betrouwbaarheidsinterval Analyze → compare means → one sample t test → variabele
toevoegen → bij test value vul je de waarde in van 𝜇 bij H0.
→ paste
Analyze → descriptive statistics → explore → dependent:
variabele invullen → statistics → 95% invullen (of bij andere
alpha ander getal) → continue → paste
Boxplot (uni) Analyze → descriptive statistics → explore
Centrum- en Analyze → descriptive statistics → frequencies → statistics
spreidingsmaten (uni) Analyze → descriptive statistics → explore
Chi2 toets bij kwalitatieve Analyze → nonparametrics tests → legacy dialogs → chi-square →
variabelen variabele invullen → paste
Cohen’s D (bi Data → split file → compare groups → geslacht → paste
vergelijken groepen) Dan descriptives:
Analyze → descriptives → descriptives → variabele invullen →
options → mean → std. Dev → ok → paste
Correlatie pearson / Analyze → Correlate → Bivariate → beide variabelen invullen →
spearman Pearson aanklikken → Spearman aanklikken→ ok (je krijgt 2 losse
tabellen)
Cramer’s V (tussenstap Analyze → descriptives → crosstabs → onafh in kolommen → afh in
Chi2) rijen → statistics → Chi squared → Phi & Cramérs V → continue →
cells → counts: observed, expected →(percentages: row)→ continue
→ paste
Dummyvariabelen (eerst de oorspronkelijke variabele goed bekijken zodat je weet
welke waarde wat betekent) Transform → recode into different
variables → input variabele invoegen → naam dummyvariabele →
change → old and new values → old value: score oorspronkelijke
variabele → new value: 1 → add → all other values → new value: 0
→ add → system or user missing → system missing → add →
continue → paste → nu of alles opnieuw of in syntax aanpassen voor
alle andere dummyvariabelen
Enkelvoudige regressie Analyze → Regression → Lineair → afh in depentent → onafh in
independent → paste
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