AQA A-level psychology advanced research methods year 13
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| Sign test | show 🗑
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| show | Minus that data if the second condition from the first condition. If the answer is positive, that category is awarded a plus, if it is negative, that category is awarded a minus
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| How the sign test is calculated | show 🗑
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| show | What level of measurement is it? (Nominal, ordinal, or interval)
Is it testing correlation or difference? (Correlation is 2 continuous variables, correlation is multiple catagories)
What experimental design is it? (Related or unrelated)
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| show | Chi squared - related
Sign test - unrelated
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| show | Mann Whitney - related
Wilcoxon - unrelated
Spearman’s rank - association
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| show | Unrelated t-test - related
Related t-test - unrelated
Pearson’s R - association
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| Acronym for tests | show 🗑
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| Wilcoxon test | show 🗑
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| show | Tests that make assumptions about the population distribution from which a sample is drawn
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| show | Tests that make no assumptions about sample size or if observed data is quantitative
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| show | Minus latter data from initial data and rank differences, excluding zeros, add pluses together, minuses together, smallest of those 2 values is T (OV), the total number of values is N which is used to find critical data and compare to calculate value
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| show | A non-parametric test of difference for independent groups design using ordinal data to calculate difference between two populations
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| show | Two calculated U values are found for each population, the smallest one is selected. The critical value is found by looking at the number of each population on the table
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| show | Used for categoric data to see if the observed data matches with expected data. Degrees of freedom are number of categories minus 1 x number of rows minus 1 and X^2 must be greater than or equal to the critical value
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| T-test | show 🗑
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| show | They’re the same test with the same calculation except for how the critical value is calculated and what type of experimental design they’re used for. The value of t must be greater than or equal to the critical valye
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| show | They are both used to establish correlation between 2 continuous variables except Pearson’s rank assesses linear relationship whereas Spearman’s rank can assess any type of relationship. Pearson’s rank requires degrees of freedom
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