Definitions

• Validity - does it measure what it is saying it measures
• Reliability - the results are the same every time
• data - data that has been collected from different sources. such as, the news or past studies
• Primary data - data that is collected by the researcher
• Quantitative data - measured in numbers, easily compared
• Qualitative data - data recorded with words, more detailed
• Experiment - research method where the iv is purposely manipulated to see effect on dv
• Hypothesis - a presice statement about the relationship between two variables, must be operationalised
• Standardised - procedure and environment are the same for every participant
• Mundane realism - how realistic a study is compared to the real world
• Confounding variable - variable that changes as the iv changes, changes in dv may be due to cv rather than the iv
• Bias - systematic distortion of results/sampling etc...
• Generalisation- apply the findings of a study to the population
• Correlation - the relationship between two variables
• Causation - cause and effect relationship