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Samenvatting Stappenplan SPSS + R Psychometrie $3.21   Add to cart

Summary

Samenvatting Stappenplan SPSS + R Psychometrie

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Een compact stappenplan voor SPSS en R voor het vak Psychometrie. Bij iedere stap staat uitgelegd wat je moet selecteren en welke opties je kan aankruisen + wat dit doet.

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  • April 20, 2022
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  • 2021/2022
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Psychometrie SPSS/R
Stappenplan
SPSS
Som score maken
Transform  Compute Variable.
Target variable = naam nieuwe variabele
Numeric Expression = SUM(item_X to item_Y)

Gemiddelde score maken
Transform  Compute variable
Target variable = naam nieuw
Numeric Expression = Mean.n(itemX to ItemY).
N = drempel hoeveel items minimaal aanwezig moeten zijn om een gemiddelde score voor de
respondent te maken.

Descriptives
Analyse  descriptive statistics  descriptives.

Histogram
Graphs  legacy dialogs  histogram

Scatterplot
Graphs  legacy dialogs  scatter/dot

Z-score
Analyse  descriptive statistics  descriptives.
R Save standardized values as variables

T-score
Transform  compute variable
Target variable = naam nieuwe variabele, T.naamnieuw
Numeric Expression = 10 × Zscore+50

Percentielscores
Transform  Rank cases
R Fractional rank as %
R Ties = high

Normtabel
Analyze  Reports  Case summaries
Variables = welke je in je tabel wilt
Grouping variable = waarop je groepeert/normeert

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