Term
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Definition
To provide organization and meaning to a collection of numbers and/or values
Should flow from research questions(or hypotheses), research design, level of measures for data collection
Found in the "Methods" or "Results" section |
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Term
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Definition
Preparing the data for analysis
Describing the sample
Testing the reliability of the instruments
Testing comparability of design groups
Exploratory analysis of data
Confirmatory analyses guided by objectives, questions, or hypotheses
Post hoc analysis |
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Term
| Reasoning behind statistics |
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Definition
Probability theory
Decision theory
Hypothesis testing
Level of significance
Inference and generalization
Normal curve with tailedness
Type 1 and 2 Errors with Power |
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Term
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Definition
Describe and summarize characteristics or property of data
Measures of frequency distribution and percentage
-Numbers, %
Measure of central tendency
-Mean, median, mode
Measure of variability or dispersion
-Range, variance, SD
Normal distribution |
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Term
| Descriptive statistics and levels of measures |
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Definition
Categorical
-Nominal: mode, frequency,%, range
-Ordinal: mode, median, frequency, %, range
Continuous
-Interval or ratio: mean, SD, mode, median, range, %
The level of measurement determine the type of statistics |
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Term
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Definition
| A shift of curve to the left: mean>median>mode |
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Term
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Definition
| A shift of curve to the left: mean>median>mode |
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Term
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Definition
| A shift of curve to the right: mean |
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Term
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Definition
Used to draw conclusion about the population on the basis of a sample
Analyze, test hypotheses, answer research questions, predict, and generalize
Test hypothesis:
-How much of this effect is a result of chance?
-How strongly are these two variables associated?
-What is the effect of the intervention?
Two hypotheses
-Research/scientific
-Null/statistical |
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Term
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Definition
Probability: the chances of getting the same results when conducting the study under the same conditions
Expressed as a P with % or decimal value (0-1):
*P=0.23
A hypothesis test: the probability of a result occurring, if the null hypothesis is true
Power(=precision, sensitivity): the probability of correctly rejecting the null hypothesis(detect differences or relationships that actually exist in the population);80% (0.8) is desirable |
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