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Psychometry SPSS step-by-step plan (summary) $5.06   Add to cart
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  5. Psychometrie (6462PS004Y)

Summary

Psychometry SPSS step-by-step plan (summary)

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  • Course
  • Psychometrie (6462PS004Y)
  • Institution
  • Universiteit Leiden (UL)
  • Book
  • SPSS Survival Manual

Step-by-step plan for the SPSS Psychometrics test. All learning objectives are included here. Clear and organized. Everything from SPSS together and everything from R together, sorted by topic. For questions, please send a message.

Last document update: 11 months ago

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  • No
  • Unknown
  • October 24, 2023
  • October 26, 2023
  • 5
  • 2023/2024
  • Summary

Subjects

  • psychometry
  • psychometry
  • statistics
  • statistics
  • spss
  • roadmap
  • cheat sheet
  • summary
  • item response theory
  • reliability
  • validity
  • reliable
  • principal component analysis
  • confirmatory factor analysis

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Written for

  • Universiteit Leiden (UL)
  • Psychologie
  • Psychometrie (6462PS004Y)
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By: rishitewarie • 10 months ago

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Content preview

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Statistics report
Analyze → Descriptive Statistics → Descriptives → Choose variables → Options: mean, std.
Deviation, minimum, maximum

Frequencies
Analyze → Descriptive Statistics → Frequencies → Choose variables

Summary
Analyze → Descriptive Statistics → Descriptives → Choose variables

Z-score
Analyze → Descriptive Statistics → Descriptives → Choose variables → ‘Save standardized values as
variables’ → OK

Regression line scatterplot
Dubbelklik scatter plot → Chart Editor → Add Fit Line at total → Lineair → Add fit line to subgroups
→ Dubbelklik → Lineair

Distribution scores
Analyze → Descriptive Statistics → Frequencies → Choose variables → Charts: Histogram

Som (total scores)
Transform → Compute variable → Target variable: naam → Numeric expression: SUM.n (variable1
TO variable.p)


Scaling & norming
Scale score
Transform → Compute Variable → MEAN.n (variable1 to variable.p) → name target variable
• n = minimaal aantal items dat moeten zijn ingevuld

T-score
Transform → Compute Variable → Target variable: name → Numeric expression: ([Z-score]*10)+50



Percentilescore
Transform → Rank Cases → Choose variable → Rank Types: only ‘Fractional rank as %’ → Ties: high



Norm table
Analyze → Reports → Case Summaries → Variables box: normed scores (P-score, T-score, Z-score) →
Grouping variables box: scale score → Uncheck ‘Display Cases’ → Statistics: drag mean to cell
statistics to ask for cell means & drag number of cases to statistics → Continue

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