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Psych Statistics

AQA A-level psychology advanced research methods year 13

TermDefinition
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
Created by: Study_B
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