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Samenvatting Stappenplan SPSS - Psychometrie (6462PS004) $3.42
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Samenvatting Stappenplan SPSS - Psychometrie (6462PS004)

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In dit document vind je een stappenplan wat gebruikt kan worden bij het maken van SPSS-opdrachten bij het vak Psychometrie (Psychologie, jaar 2, blok 1). Er is een inhoudsopgave om duidelijk te maken waar we wat kunt vinden, aangezien het een redelijk uitgebreid document is. Aangezien er tijdens de...

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  • April 30, 2022
  • 11
  • 2021/2022
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SPSS stappenplan
Psychometrie 2021-2022

Inhoud
Practical 1 – Norm tables ........................................................................................................... 2
Practical 2 - Split-Half Method / Cronbach’s Alpha ................................................................... 3
Practical 3 – MTMM matrix ........................................................................................................ 4
Practical 4 – Constructvaliditeit & PCA ...................................................................................... 4
Practical 5 – CFA in R (volledig R) ............................................................................................ 6
Practical 6 – IRT in R (R & deels SPSS) ................................................................................... 7
Practical 7 – bias ........................................................................................................................ 8
Practical 8 – classification .......................................................................................................... 9
Overige vaardigheden .............................................................................................................. 11
Topic 5 - CFA in R: ............................................................................................................................. 11
Topic 8 – Classification: .................................................................................................................... 11
COTAN-normen ....................................................................................................................... 11




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, Practical 1 – Norm tables
- compute total scores / scale scores berekenen
o (door gemiddelde van relevante items te vinden)
transform → compute → specificeer target variable → formuleer in het numeric expression
venster de blauwe formule hieronder;
- item1 + item2 + item3 + itemp
o only use if you have no missing values
- SUM(item1 to itemp) / SUM(item1 + item2 + item3 + itemp)
o als items een missing value bevatten, niet gebruiken
o kijk voor missing values bij ‘analyze→ descript. stat. → DESCRIPTIVES’
o SUM.n(): n is the number of valid (or non-missing) values per case that need
to be present, in order to generate a result
- MEAN(item1 + item2 + item3 + itemp) / MEAN(item1 to itemp)
o the result is less dependent upon the number of items used
o possible when having missing values
o MEAN.n(): number n of items with valid values that need to be present → use
this one
▪ gebruik voor n minimaal de helft van het totaal aantal items

- Report creëren over onderzoeksgroep:
o relevante statistieken los van elkaar geven voor de beide scales
analyze → descriptive statistics → descriptives → plaats variabele in variable box → options:
mean, SD, minimum, maximum → continue → OK
o produceer graphs van de verdeling van de scale scores (histogram/boxplot)
graphs → legacy dialogs → histogram (2x aanvragen als je voor beide scales wil weten) →
OK
- normscores berekenen:
o z-scores berekenen
analyze → descriptive statistics → descriptives → voeg relevante variabele(n) toe + selecteer
“save standardized values as variables” → OK
o t-scores berekenen
transform → compute variable → specificeer target variable → vul in numeric expression
venster in: 50 + 10 * Zx (vul de naam in van de z-score zoals in data gelabeld) → OK
Zijn er meerdere z-scores? doe dit bovenstaande dan voor beiden apart
o percentielen berekenen
transform → rank cases → plaats variabelen in variable box → Rank Types: uncheck Rank,
selecteer “Fractional rank as %” → continue → Ties: selecteer “High” (ipv Mean) → continue
→ OK
- percentages afronden, decimalen aanpassen
variable view → kolom decimals → ga naar relevante variabele → pas decimalen aan




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