Føresetnadar Parametrisk-/Non-Parametrisk Test Flashcards
Kva er dei 5 føresetnadane for “Parametriske testar?
- Level of measurement
- Random sampling
- Independence of observations
- Normal distribution
- Homogeneity of variance
Kva meiner ein med “Level Of Measurement”?
Each of the parametric approaches assumes that the dependent variable is measured at the interval or ratio level; that is, using a continuous scale rather than discrete categories. This gives you a wider range of possible techniques to use when analysing your data
Kva meiner ein med “Random Sampling”?
Assumes that the scores are obtained using a random sample from the population. This is often not the case in real-life research
Kva meiner ein med “Independence Of Observations”?
Each observation or measurement must not be influenced by any other observation or measurement
Kva meiner ein med “Normal Distribution”?
The population from which the sample is taken are normally distributed. In a lot of researches scores on the dependent variable are not normally distributed
With large enought sample sizes (e.g. 30+), the violation of this assumption should not cause any major problems
Kva meiner ein med “Homogeneity Of Variance”?
The samples are obtained from populations of equal variances. This means that the variability of scores for each of the groups is similar
Kva er føresetnadane for “Non-Parametric Tests”?
- Random Samples
2. Independent observations
Kva meiner ein med “Independent Observations in Non-Parametric Tests”?
Each person or case can be counted only once, they cannot appear in more than one category or group, and the data from one subject cannot influence the data from another
Is there an exception from the “Independent Observation in NPT”?
The repeated measures techniques, where the same participants are retested on different occasions or under different conditions
What is the additional assumption for Paired Sample T-tests?
The difference between the two scores obtained for each subject should be normally distributed. With a sample size of 30+, violation of this assumption is unlikely to cause any serious problems