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Case 5 Learning and Flexibility | Data-analyse Psychologie | Radboud University | 2025. Lecture notes

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Contains Case 5 Learning and Flexibility — step‑by‑step SPSS workflows and interpretation for count-data modelling (Poisson), generalized linear and mixed models, contrasts and link-function comparisons. Includes exercises on model selection, parameter estimation methods, contrasts (Helmert and difference), polynomial trends and R/GLM practicals; ideal for practicum work and exam preparation.

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Case 5 Learning and Flexibility - Data
Analysis Psychology




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,CASE 5: LEARNING AND FLEXIBILITY




Eline Meuleman


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, Exercise 1:
Choice of distribution:
• Binomial distribution: You look at the number of successes, eg number of items you have
good when gambling on 20 items with 4 alternatives

• Negative-binomial distribution: You look at the number of trials required for the r-th success,
eg number of women before you have the fourth man

• Poisson distribution: The number of successes in a continuous interval, eg number of visitors
per hour on a website, because that varies per hour (one hour 80, other hours 90 visitors)

• Normal: Ellis indicates in the lecture that this is of little use to you, because you might as well
do a normal GLM.

The correct distribution is therefore a poisson distribution.

SPSS
Open viewed2020
Analyze > Generalized Linear Models


Type of Model > Custom > Distribution = Poisson / Link Function = Log




Response > Dependent variable = number of views
Predictors > Factors = technique
Model > Main effect for technique
> Ok




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