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Daisy Caddy
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Decks in this class (21)
lecture 1 - introduction, measurement and distributions
Why do psychologists need statistics,
What is a variable,
What is a discrete variable
38
cards
lecture 2 - descriptive (summary) statistics
What is central tendency,
Mean,
Calculating means
31
cards
lecture 3 - visualising summary data
What are the 3 main measures of c...,
How to choose which measure of ce...,
Central tendency and measurement
23
cards
lecture 4 - visualising data beyond summary statistics
Summary of data visualisation,
Problem with summary stats,
Summary statistics representation
10
cards
lecture 5 - statistical inference and the sign test
Probability,
Basic probability rules,
The sign test
20
cards
lecture 6 - statistical reasoning, normal distributions and z-scores
Basic premise of psychology,
Examples of predictable behaviour,
What does experimental method get...
28
cards
lecture 7 - wilcoxon matched pairs test
When do we use a wilcoxon matched...,
Behaviours differences vs relatio...,
Relationships
25
cards
lecture 8 - within subjects t-test
When do we use a within subjects ...,
Reporting the result,
Conceptualisation
16
cards
lecture 9 - within subjects t-tests additional considerations
Assumptions of a within participa...,
Independence is important,
Random sampling
33
cards
lecture 10 - wilcoxon rank- sum test
When do we use a wilcoxon rank su...,
Within subjects versus between su...,
Why do within subjects designs
12
cards
lecture 11 - between subjects t-test
When to use a between subjects t ...,
Between subjects t test in the wi...,
Features of between subjects t test
9
cards
lecture 12 - between- subjects t-tests assumptions, effect sizes, confidence intervals
Assumptions of a within participa...,
Additional assumption of a betwee...,
Normality assumption
16
cards
lecture 13 - correlation - a test of relationships
Behaviours differences versus rel...,
Differences vs relations,
Tests of relationship strength be...
10
cards
lecture 14 - correlation - additional considerations and ordinal data
Pearson s r correlation coefficient,
Understanding covariance scatterp...,
Normal covariance
10
cards
lecture 15 - power
Type i error,
Type ii error,
Statistical power
17
cards
lecture 16 - chi-square and contingency squares
Chi squared and contingency tables,
A two by two contingency table,
Examples of no contingency betwee...
24
cards
lecture 17 - comparing multiple conditions - 1 way ANOVA
Beyond the t test,
But why analysis of variance gene...,
Distribution graphs in notes
18
cards
lecture 18 - dealing with multiple factors - 2-way ANOVA
Beyond one factor,
Main effects and interactions,
Look at graphs in notes
8
cards
lecture 19 - regression - straight lines (and beyond)
Beyond correlation,
Correlation,
Regression
16
cards
lecture 20 - the "General Linear Model" (GLM)
Multiple appearances of f,
Analysing the same data several ways,
Memory and visualisation as t test
11
cards
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Research Methods Stats Year One
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