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

For questions below use the following: A researcher suspects that increasing illumination increases motoric speed. A group of 7 subjects was randomly selected and tested on the Digit Symbol subtest of the WAIS-R IQ test. The same subjects were tested under three illumination conditions, low light, medium light and high light. Their scores under each condition were as follows: Subject \# Low Light Medium Light High Light 1 7 10 11 2 8 7 10 3 6 8 10 4 5 6 9 5 4 4 7 6 3 5 6 7 8 10 13 -For question 114, should Ho be rejected? If rejected, state the alpha level.

When the probability of beta increases, then

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 -What is the major research error in the design of this experiment?

When the paired t is used on data which are really independent, there is an increased likelihood of

For the above data (question 106), should Ho be rejected? If rejected, state the alpha level.

For a given mean difference, a significant correlation increases the value of a paired t ratio.

With interval data and a two-group, matched-subjects design, the appropriate analysis is via the independent t.

The beta level defines the probability of accepting null when, in fact, null should be rejected.

Accepting the null hypothesis, when null should have been rejected causes the

Whenever the value of the estimated standard error of difference is increased, then

With any t test, paired or independent, the final comparison is always drawn between measures of the

A t ratio which is calculated on data from a repeated-measures design, using 20 subjects, should yield

The final goal of the paired t, is to

For the previous question, should Ho be rejected as a one-tail t? If rejected, state the alpha level.

The more powerful a given statistical test is, the more apt it is to

When using the independent t on interval data from a one-group, before- after design, there is an increased likelihood of a

Whenever the value of the estimated standard error of difference is reduced,

When analyzing interval data from a repeated-measures design, with a separate control group, the t ratio must be established between

With a within-subjects ANOVA, a significant difference implies that

Failing to reject Ho can never occur when alpha has been set at .01