AQA A-level psychology advanced research methods year 13
Quiz yourself by thinking what should be in
each of the black spaces below before clicking
on it to display the answer.
Help!
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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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| show | The critical value is determined by the total number of signs (N) and if it is one or two tailed, the less common sign (S) is compared to the critical value. If it does not exceed the critical value then the null hypothesis is rejected and vice versa
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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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| Tests for ordinal data (3) | show 🗑
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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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| show | Non-parametric test of difference between 2 scores for ordinal unrelated data
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| Parametric tests | show 🗑
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| Non-parametric statistics | show 🗑
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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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| show | A parametric test of difference for any experimental design using interval data. Used to find the difference between two means. Comes in two forms: related t-test and unrelated t-test
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| Related vs unrelated t-test | show 🗑
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| Spearman’s vs Pearson’s rank | show 🗑
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