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SPSS samenvatting $5.04   Add to cart

Summary

SPSS samenvatting

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Dit is een samenvatting van alle testen die in SPSS werden gezien. Er is telkens ook een voorbeeld voorzien en samen met het gele boekje is dit een perfecte manier om de testen van statistiek onder de knie te krijgen. Er staat vooral duidelijk in uitgelegd wanneer je welke test moet gebruiken om zo...

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  • April 15, 2016
  • 22
  • 2015/2016
  • Summary

2  reviews

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By: davydesmedt • 4 year ago

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By: jndm • 3 year ago

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SPSS
1. Welke variabele is kwantitatief/kwalitatief? – Welke variabele is afhankelijk (dependent)/ onafhankelijk
(independent)?
2. Ademen.
3. Frequencies overlopen van de variabelen die benoemd worden.
4. Eventueel hercoderen van variabelen en blijven ademen.
5. Analyse:

Good to know:
- analyses zo veel mogelijk verwerken in 1 analyse
- p-waarde is significant vanaf 0,05
- trend tot significantie= tussen 0,05 en 0,1=> te
beschouwen als significant
- indien hypothese in vraagstelling: p-waarde delen door 2




Soort Parametrisch Non-Parametrisch
variabe
le:
Tussen 2 Correlatie Spearman rang correlatie
kwantitati Analyse<correlate<bivariate<Pearson Analyse<correlate<bivariate<spearman r *
eve
variabelen scatterplot opvragen om lineaire
Rapportage: correlatie coëff met teken (+/-) en p-
samenhang te bekijken, indien curvilineair=>
correlatie niet mogelijk:
waarde
graphs<legacy dialogs<scatter/dots<simple Conclusie in woorden
scatter
Rapportage: Pearson corr. coëff, p-waarde +
teken van verband (+/-).
Conclusie in woorden
Tussen 2 Chi² Fisher’s exact test
kwalitatie Analyse<descriptive statistics<crosstabs Zou mee in output van Chi² te zien zijn
ve
Statistics: Chi² , Cells: rij, kolom,
variabelen
1

, percentage  Rapportage: coëff + p-waarde + conclusie in woorden

Samenhang/verband
Rapportage: coëfficient + p-waarde,
conclusie in woorden, indien significant:
percentages uit kruistabel mee rapporteren




variabele parametrisch Non-parametrisch




2

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