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Correlations - Types of Data
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- 1Nominal or categorical variableNumbers = Discrete categories
Numbers don't signify higher or lower.
Correlations can not be done with this type of data, unless it is dichotomous, such as, gender. - 2Ordinal dataorder or rank.
These do signify high or low.
Differences between ranks are not equivalent. Can do phi correlations, can't do pearsons correlations. - 3Interval, or continuous dataMost common in Psychology, e.g., Likert scale.
Note; singular Likert scale data is ordinal but when data is multiplied and combined then it becomes continuous.
Ratings are more sensitive than rankings. However, rankings can be easier to do. - 4Ratiointerval scale with a zero point, e.g., height, weight, etc.
Psychology does not use this much. - 5Categorical data is good for?Frequencies within the data, i.e., the numbers of individuals within each group.
Can use then as an IV in an analysis of variance (ANOVA, MANOVA), can do a chi square.
You can't generate a mean with categorical data. - 6Ordinal Data good for?It is a mixture of both categorical and interval data.
Usually just reporting the rank ordering - 7Continuous data good for?It is the most flexible data for quantitative analysis.
You can derive a mean and a standard deviation.
Can do correlations, t-tests, ANOVAs - 8Making sense of data requires; DescriptionDescriptive statistics, what the data looks like. This is where you report where the distributions of your data are.
No hypotheses should be mentioned. - 9Making sense of data requires; AnalysisInferential Statistics.
What the data is referring to about the hypotheses. - 10How to present frequency distributionsGraphs such as bar graphs and pie graphs are good for presenting frequency distributions.
- 11Discriptive statistics with interval dataMean, Median, Mode (measures of central tendency).
- 12—Positive skew. Normally occurs when asking about things which occur rarely, e.g., how often do you kill people.
- 13Negative SkewWhen the data is bunched to the right. Usually occurs when there is something that happens often, e.g., how often do you smile
- 14Skews are ___ for analysis of varianceBad for analysis of variance. Normal distributions are better
- 15Variability is?How much the score varies around the mean, ST is the average variance away from teh mean, this is essential for discriptive and inferential statistics.
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- Karteikarten am Correlations - Types of Data, erstellt von cjjstone am 12/05/2014.
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