Research and Program Evaluation Quiz 3

The level of significance is often referred to as

• alpha level

• beta level

• the power of a statistical test

• a null hypothesis

A counselor educator decides to increase the sample size in her experiment. This will

• confound the experiment in nearly ever case

• raise the probability of Type I and Type II errors

• have virtually no impact on Type I and Type II errors

• reduce Type I and Type II errors

If a researcher changes the significance level from .05 to .001, then

• alpha and beta errors will increase

• alpha errors increase but beta errors decrease

• alpha errors decrease; however, beta errors increase

• this will have no impact on Type I and Type II errors

A counselor believes that clients who receive assertiveness training will ask more questions in counseling classes. An experimental group receives assertiveness training while a control group does not. In order to test for significant differences between the groups the counselor should utilize

• the student's t test

• a correlation coefficient

• a survey

• an analysis of variance (ANOVA)

The researcher in the previous question now attempts a more complex experiment. One group receives no assertiveness training, a second group receives four assertiveness training sessions, and a third receives six sessions. The statistic of choice would be the

• mean

• t test

• two-way ANOVA

• ANOVA

If the researcher in the previous question utilized two IVs then the statistic of choice would be the

• median

• t test

• two-way ANOVA or MANOVA

• ANOVA

To complete a t test you would consult a tabled value of t. In order to see if significant differences exist in an ANOVA you would consult

• the mode

• a table for t values

• a table for F values

• the chi-square

When correlational data describe the nature of two variables, the term _____ is used.

• multivariate

• bivariate

• correlational variete

• causal variete

Behaviorists often utilize N=1, which is called intensive experimental design. The first step in this approach would be to

• consult a random number table

• decided on a nonparametric statistical test

• take a baseline measure

• compute the range

Experiments effects can flaw an experiment because

• the experimenter might pre-judge the subjects

• the experimenter might know one of the subjects

• the experimenter might unconsciously introduce an unintended variable

• the experimenter might unconsciously communicate his or her intent or expectations to the subject