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Psych Statistics
AQA A-level psychology advanced research methods year 13
Term | Definition |
---|---|
Descriptive statistics | A summary of experimental data in for a such as central tendency and graphs without giving meaning to the data such as correlation or difference |
Inferential statistics | Drawing conclusions from experimental data to infer if any correlation or difference is statistically significant i.e. not due to chance |
Hypothesis | A testable statement describing any potential relationships between variables in a given situation |
Alternative /research/experimental hypothesis | Any hypothesis that states there is a relationship between two variables being studied (one has an effect on the other) |
Null hypothesis | There is no relationship between the two variables being studied (one variable does not affect the other) |
Directional/one tailed hypothesis | A hypothesis which predicts the nature and effect of the independent variable on the dependent variable |
Non-directional/two tailed hypothesis | A hypothesis which predicts the independent variable will have an effect on the dependent variable, but the direction is not specified |
Significance | The extent to which the results of the experiment are meaningful or of consequence (normally, if there is at least 95% certainty the results aren’t down to chance) |
Calculated value | The results of the statistical test |
Critical/table value | A numerical value that researchers derive from the calculated value to see if the calculated value is statistically significant |
Levels of data/measurement | How the data is measured or catagorised, from lowest to highest: nominal, ordinal, interval, or ratio |
Nominal data | Qualitative data which can’t be easily quantified, such as gender or hair colour |
Ordinal data | Data is placed in some kind of order or scale, such as happiness on a scale of 1-10 |
Interval data | Data measured in fixed units with equal intervals such as temperature being measured in centigrade |
Probability | The likelihood (chance) that any difference or association between the groups is due to chance. It’s expressed as a decimal between 0 and 1 (although sometimes as a percentage) and is written as a P value |
P value | The total number of outcomes in which a specific event happens divided by the total number of possible outcomes. In most experiments, the P value of the results being due to chance would have to be less than or equal to P 0.05 |
Why P value sometimes needs to be lower | If a experiment is seen to be controversial or maybe even socially sensitive, there would need to be a greater degree of accuracy to prove that there is an even smaller chance the results are due to chance |
Type 1 error | Error of optimists, rejecting the null hypothesis and accepting the alternate hypothesis incorrectly |
Type 2 error | Error of pessimists, accepting the null hypothesis and rejecting the alternate hypothesis incorrectly |
What to say when null hypothesis is rejected | I’ve rejected my null hypothesis because there is a less than 5% probability that the difference in my results is due to chance/there is a significant correlation between my two variables because my calculated value exceeds the critical value |
What to say when null hypothesis is accepted | I’ve accepted my null hypothesis because there is a greater than 5% probability that the difference in my results is due to chance |
Related design | An experimental design in which participants in one condition are similar to those in another, either by repeated measures or matched pairs |
Unrelated design | Independent groups designs, the participants in one condition are not similar to those in another |
Test of difference | A comparison between conditions |
Test of association | An investigation into the correlation of variables between conditions |