Term
| As sample variance increases, what happens to measures of effect size such as Cohen's D and r^2? |
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Definition
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Term
| What will increase the power of a statistical test? |
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Definition
1. increasing the alpha level
2. one tailed has greater power than two tailed test
3. larger sample size has more power than small sample |
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Term
| the numerator of the z-score test statstic measures |
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Definition
| the actual difference between the sample and the hypothesis |
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Term
| which sample characteristics is likley to produce a large value for the estimated standard error? |
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Definition
| a small sample size and a large sample varaince |
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Term
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Definition
A matched subject design uses separate experimental groups for each particular treatment, but relies upon matching every subject in one group with an equivalent in another. The idea behind this is that it reduces the chances of an influential variable skewing the results by negating it.
(ex- Participants are assaigned to one of two treatment groups so that each participant in one group has the same IQ as a participant in the other group) |
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Term
| Type II error means that the reasercher has |
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Definition
| concluded that a treatment has no effect when really it does. |
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Term
| for an independent research study, the value of cohens D helps to describe |
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Definition
| how much difference there is between the two treatments. |
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Term
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Definition
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Term
| on average what value is expected for the t staistic when the null hypothesis is true? |
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Definition
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Term
| for indepdenten measures t statistic, increasing the sample mean difference will ___ the chances of a significant t statistic and ___ measure effect size |
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Definition
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Term
| an independent measures study__ |
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Definition
| uses a different sample for each of the different treatments conditions being compared |
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Term
| for a repeated measures hypothesis test, the null hypothesis states___ |
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Definition
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Term
| a researcher risks a type I error___ |
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Definition
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Term
| if a treatment has a very small effect, then a hypothesis test evaluating the treatment effect is likely to___ |
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Definition
| result in a type II error. |
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Term
| in a hypothesis test using a t statistic, what is the influene of using a large sample? |
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Definition
| cannot determine without more information |
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Term
| a researcher conducts an experiment comparing two treatment conditions and obtains 30 scores in each treatment. which design would require the smallest number of participants? |
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Definition
| a repeated measures design |
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Term
| in general, increasing the alpha level will___ |
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Definition
| increase the liklihood of rejecting the null hypothesis |
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Term
| the power of a statistical test is the probability __ |
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Definition
| that the test will reject a false null hypothesis |
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Term
| for an independent measures t statistic, increasing the number of scores in the sample will ___ measures of effect size such as Cohen's D. |
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Definition
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Term
| which of the following is a fundamental difference between the t statistic and the z score? |
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Definition
| the t statistic uses the sample variance in place of population variance. |
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Term
| in general, an increase in the sample size of a repeated measures study will cause___ |
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Definition
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Term
| the null hypothesis for the independent measure t test states___ |
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Definition
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Term
| for which of the following situations would a repeated measures research design be appropriate? |
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Definition
| comparing pain tolerance before and after taking a pain medication. |
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Term
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Definition
| states that the treatment has no effect |
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