Exam 15: Repeated-Measures and Matched-Subjects Designs Interval Data

In order to calculate a within-subjects ANOVA, one must first

The within-subjects ANOVA should never be used

When a researcher manipulates two independent variables simultaneously, the appropriate analysis must always utilize the

The higher the probability of accepting Ho, the greater the likelihood of committing a Type 2 error.

The paired t is to the independent t, as

Subtracting beta from the constant 1.00, yields

For questions below, use the following: A researcher predicts that training on the balance beam reduces reading errors among learning disabled youngsters. A random sample of 9 children was selected from the population of learning-disabled children from a large metropolitan school district. They were all given a reading test and their errors recorded. They were then trained on the balance beam for one year, and again their error scores on the reading test recorded. The data follows: Subject \# Before After 1 12 10 2 12 10 3 2 1 4 6 4 5 6 5 6 7 7 7 10 9 8 9 8 9 11 8 -As a one-tail test, should Ho be rejected? If rejected, state the alpha level.

The power of a test is equal to the summation of both the alpha and beta probabilities.

When the calculated value of a paired t, for a given number of degrees of freedom, equals the critical, table value of t, then

When the correlation is not significant, the major difference between the paired and independent t ratios, is in the

With any t test, independent or paired, the more subjects there are being measured

Calculate a paired t on the following scores: Group 1 Group 2 13 21 10 19 6 15 1 13

Group 1 Group 2 15 22 12 21 8 17 3 15 -Using the data above , calculate an independent t.

When a paired t is applied to between subjects data with independently assigned subjects then

Regardless of the size of the sample, or the scale of measurement, when correlated samples are involved, the researcher may never use

The probability of rejecting null always increases when the

The between-subjects design, with random assignment of subjects, should yield between the scores in the two groups.

The use of the repeated-measures design with a separate control group, prevents the possibility of manipulating the independent variable.

For a given number of scores, the within-subjects ANOVA

The lower the value of beta, the higher the power of any statistical test.