Data and Analysis Flashcards
nominal data
recording data in totals of named catagories
ordinal data
recording data as points along a scale where the gaps between the points are not necessarily the same
interval data
recording data as points on a scale where all gaps are equal
quantitative data
numerical data
strengths of quantitative data
- tends to be collected using objective measures
- collection tends to be highly reliable
- can be analysed using stats tests
weaknesses of quantitative data
- doesn’t tell us why, reducing validity
qualitative data
descriptive data
strengths of qualitative data
- high levels of validity due to participants being able to express themselves more fully
- less likely that key or ‘rare’ observations are lost through averaging or simplifying the data
weaknesses of qualitative data
- collected using subjective measures
- collection may be invalid as recording or interpretation of responses may be biased by researcher’s opinions or feelings
- data are individual so can be difficult to generalise
- time consuming to analyse
measures of central tendency
- mode
- mean
- median
measures of dispersion
- variance
- range
- standard deviation
significance level
- the probability the pattern in the results could be due to chance
- p<0.05, reject the null hypothesis or accept the alternate hypothesis
representativeness
- the extent to which a sample is representative of a population so the results can be generalised to the population
generalisability
extent to which the findings can be applied to another sample/situation
reliability
consistency of a measure
internal reliability
The extent to which the results are
consistent across the same measure
external reliability
The extent to which a measure produces the same results in the same situation with the same people
inter-rater reliability
A method of measuring the consistency of a measure by assessing the measures of multiple different observers or “raters” to ensure similarities in how they record/rate data
Typically useful for observations
test-retest
testing reliability by using the same test twice and if the scores correlate well, then it has good reliability
validity
how accurate a piece of research or test is at what it aims to measure
internal validity
- the extent to which the procedures in a study achieve the intended manipulations and measures
- high internal validity means you can be sure the DV is a result of the IV
face validity
- the extent to which a study appears to do what it is supposed to - its effectiveness
construct validity
extent to which what is being measured actually exists
population validity
extent that findings from one sample can be generalised to to the whole target population