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Summary PRACTICAL EXAMS: Notes on and Summaries of Grasple and Relevant Literature for Module 3 and Module 6 from Advanced Research Methods and Statistics (ARMS) ()$7.19
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Advanced Research Methods and Statistics (202200104)
Summary
Summary PRACTICAL EXAMS: Notes on and Summaries of Grasple and Relevant Literature for Module 3 and Module 6 from Advanced Research Methods and Statistics (ARMS) ()
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Course
Advanced Research Methods and Statistics (202200104)
Institution
Universiteit Utrecht (UU)
This document contains notes on and summaries of all relevant Grasple lessons and literature for modules three and six for the practical ARMS exams.
Advanced Research Methods and Statistics (202200104)
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ARMS Modulen – Aantekeningen
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Module 3 – Justify your Sample .............................................................................................................. 2
Lecture 1 – 18-12-2023 ....................................................................................................................... 2
Grasple – Power, Error Terms, Effect Sizes, Sample Sizes .................................................................... 3
Grasple – Sample Size Justifications .................................................................................................... 5
Artikel: Sample Size Justification – Lakens .......................................................................................... 6
Abstract ........................................................................................................................................... 6
Summary ......................................................................................................................................... 6
Lecture 2 – 8-1-2024 ........................................................................................................................... 8
Module 6 – Non-Parametric Testing and Single-Case Studies .............................................................. 12
Lecture 1 – 16-1-2024 ....................................................................................................................... 12
Example 1 – motor intervention therapy (MIT) ............................................................................ 12
Example 2 – visual discomfort in people with Complex Regional Pain Syndrome (CRPS) or
fibromyalgia (widespread pain) .................................................................................................... 20
Example 3 - visuospatial neglect after stroke................................................................................ 21
Example 4 – visuospatial neglect after stroke ............................................................................... 24
Practice Practical 1 ............................................................................................................................ 29
Lecture 2 – 22-1-2024 ....................................................................................................................... 30
1
,Module 3 – Justify your Sample
https://rpsychologist.com/d3/nhst/
Lecture 1 – 18-12-2023
Power = the probability of finding a significant result when there is an effect
Approaches
- Measure entire population (neat if possible)
- Resource constraints (try your best given situation)
- No justification (undesirable)
- Heuristics (probably bad)
Interdependency: if we know the sample size and what error levels we are willing to accept (alpha
and beta), we know how large of a sample we need.
2
,Grasple – Power, Error Terms, Effect Sizes, Sample Sizes
z-test = test to see whether there is a difference between the sample and the population or between
two samples
➔
o Narrower distribution
o Pieken op dezelfde plek
Effect size larger → means of distributions (pieken) further apart
➔ Impliceert groter verschil → dus groter verschil in m
➔ Power groter
3
, One tailed test
➔
➔
➔ One tailed test → richting → kritische waarde aan één kant → kritische waarde kleiner →
kleinere power
➔ Two tailed test → geen roichtinjg → kritische waarden aan twee kanten → klritische waarde
groter → grotere power
4
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