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| results must be repeatable. |
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| produced by any factor that introduces inaccuracies into the measurement of some variable. |
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| the expirement measures what it has been designed to measure |
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| concerned with whether or not the content in test relates to what it is testing. |
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| concerns whether the participants can tell what the expirement is measuring possibly jeopardizing the expirement. |
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| form of validity in which a psychological measure is being measured is able to predict some future behavior or is meaningful related to some other measure. |
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| a measure that is shown over time. |
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scores on a test measuring some construct should be related to scores on other test that are theoretically related to the construct.
Example: A student scores high on the act he will be high also. |
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the construct being tested will not related to other test.
Example:Enjoy pop will increase cavities but not increase grades. |
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| ways of assigning numbers to events |
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| a measure of the amount of deviation of a set of scores from the mean score the square root of the varience. |
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| number produced during the standard calculation just prior to take the square root. |
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(H0)
the assumption that no real difference exists between treatment conditions in an experiemnt or that no significant relationship exist in a correlational study. |
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(h1)
In your study you hope to be able to reject or disapprove your null hypothesis, supporting your hypothesis. |
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(.05)
alpha refers to the probability of obtaining your particular results if h0 is really true. If h0 (null) is rejected at .05 it means you believe that the probability is low it happened by chance. |
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| The chance of this happening is equal to the value of alpha. at .05 reject the null means that there's a 5% chance of making a type 1 error. 5% chance thinking you have a real effect but being wrong |
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| happens when you fail to reject the null hypothesis because there was no effect in the sample you studied but it is actually there. |
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| caused by some identifiable factor either the variable of interest or some factor that youve failed to control. |
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| nonsystematic variability in a set of scores due to random factors or individual differences. |
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| a situation in which findings of no difference fail to be published ( the studies are placed in one's file); if there are a large number of such findings, the few studies that do find a difference and get published produce a distorted impression of actual differences. |
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| provides an estimate of the magnitude of the difference among sets of scores, while at the same time taking into account of the amount of variability in the scores. |
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| uses effect size analysis to combine the results from several often, many experiments that use the same variables even though these variables are likely to have different operational deffinitions. |
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| a range of values that is expected to include a population value with a certain degree of confidence. |
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| the chance of finding a significant difference when the null hypothesis is false; depends on alpha, effect size, and sample size. |
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| free from compound because researchers controlled everything. (Not realistic, shows poor example of population) |
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| Findings can be generalized to other populations, high in compounds. |
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| equivalent form reliability |
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Definition
| two test highly correlated examined as one |
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| one test split into two sections and examined separately |
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| statistical conclusion reliability |
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Definition
| Is used when researchers perform statistical analysis properly, asserting cause and affect properly. |
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