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the magnitude of the slope is represented by this |
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if the slope is positive... |
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the predicted variable INCREASES as the explanatory variable increases |
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if the slope is negative... |
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the predicted variable DECREASES as the explanatory variable increases |
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correlation coefficient ranges from |
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what do values of 0 to .25 indicate on correlation coefficients? |
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little or no relationship between two variables |
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what do values of .25 to .50 indicate for correlation coefficients? |
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fair degree of association |
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values of .50 to .75 indicate... |
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moderate degree of relationship |
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correlations over .74 reflect... |
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the explanatory variable/ exposure variables |
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predicted variable/ outcome variable |
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when a relationship exists between two variables, the value of one variable can be PREDICTED if the value of the other variable is known. This analysis quantifies how well the data fit a particular equation; the equation being a model that the researcher develops based on subject matter knowledge. |
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the set of all possible values for the variable |
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a subset of the population |
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a statistical method of predicting one set of values from another set of measured values |
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the variable that is manipulated in an experiment to determine its effect on the dependent variable |
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the variable that depends on the independent variable. this is often a measure of behavior or outcome |
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classification of variables into different categories. serve only as an ID only (political affiliation, industry classification, ethnic/ cultural groups) |
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when the amount of variable is placed in order of magnitude.(best to worst ranking, age categories) |
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ordinal measurement but the differences between the scores are equal. |
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measurement has a true zero point, absence of that variable |
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this test is appropriate for situations in which a test for differences between samples is required. it is the measure of the differences between actual and expected frequencies. it is a test of association between two categorical variables. it is valuable for nominal data but can be used with ordinal measurements. |
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aka "student's t-test". used to compare the means of two groups and it is used when the standard deviation of the population is NOT KNOWN. |
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