Research & Program Evaluation Flashcards
The most valuable type of research is
a. always conducted using a factor analysis.
b. conducted using the chi-square.
c. the experiment, used to discover cause-and-effect relationships.
d. the quasi-experiment.
c. the experiment, used to discover cause-and-effect relationships.
Experiments emphasize parsimony, which means
a. interpreting the results in the simplest way.
b. interpreting the results in the most complex manner.
c. interpreting the results using a correlation coefficient.
d. interpreting the results using a clinical interview.
a. interpreting the results in the simplest way.
Occam’s Razor suggests that experimenters
a. interpret the results in the simplest manner
b. interpret the results in the most complex manner.
c. interpret the results using a correlation coefficient.
d. interpret the results using a clinical interview.
a. interpret the results in the simplest manner
A counselor educator is running an experiment to test a new form of counseling. Unbeknownst to the experimenter one of the clients in the study is secretly seeing a gestalt therapist. This experiment
a. is parsimonious.
b. is an example of Occam’s Razor.
c. is confounded/flawed.
d. is valid and will most likely help the field of counseling.
c. is confounded/flawed.
Nondirective is to person-centered as
a. psychological testing is to counseling.
b. confounding is to experimenting.
c. appraisal is to research.
d. parsimony is to Occam’s Razor.
d. parsimony is to Occam’s Razor.
An experiment is said to be confounded when
a. undesirable variables are not kept out of the experiment.
b. undesirable variables are kept out of the experiment.
c. basic research is used in place of applied research.
d. the sample is random.
a. undesirable variables are not kept out of the experiment.
In experimental terminology IV stands for ________ and DV stands for ________.
a. independent variable; dependent variable
b. dependent variable; independent variable
c. individual variable; dependent variable
d. independent variable; designer variable
a. independent variable; dependent variable
A professor of counselor education hypothesized that biofeedback training could reduce anxiety and improve the average score on written board exams. If this professor decides to conduct a formal experiment the IV will be the ________, and the DV will be the ________.
a. professor; anxiety level
b. anxiety level; board exam score
c. biofeedback; board exam score
d. board exam score; biofeedback
c. biofeedback; board exam score
I manipulate… or I experiment with, well, the biofeedback training, of course.” The “I” statement here gives you your “IV.”
Experimenters should always abide by a code of ethics. The variable you manipulate/control in an experiment is the
a. DV.
b. dependent variable.
c. the variable you will measure to determine the outcome.
d. IV or independent variable.
d. IV or independent variable.
In order for the professor of counselor education (see question 708) to conduct an experiment regarding his hypothesis he will need a(n) ________ and a(n) ________.
a. biofeedback group; systematic desensitization group
b. control group; systematic desensitization group
c. control group; experimental group
d. control group with at least 60 subjects; experimental group with at least 60 subjects
c. control group; experimental group
In order for the professor of counselor education to conduct the experiment suggested in question 708 the experimental group would need to receive
a. the manipulated IV.
b. the biofeedback training.
c. a and b.
d. the organismic IV.
c. a and b.
Hypothesis testing is most closely related to the work of
a. Robert Hoppock.
b. Sigmund Freud.
c. Lloyd Morgan.
d. R. A. Fisher.
d. R. A. Fisher.
The null hypothesis suggests that there will not be a significant difference between the experimental group which received the IV and the control group which did not. Thus, if the experiment in question 708 was conducted, the null hypothesis would suggest that
a. all students receiving biofeedback training would score equally well on the board exam.
b. systematic desensitization might work better than biofeedback.
c. biofeedback will not improve the board exam scores.
d. meta-analysis is required.
c. biofeedback will not improve the board exam scores.
The hunch is known as the experimental or alternative hypothesis. The experimental hypothesis suggests that a difference will be evident between the control group and the experimental group (i.e., the group receiving the IV). Thus, if the experiment in question 708 were conducted, the experimental hypothesis would suggest that
a. the biofeedback would raise board scores.
b. the control group will score better on the board exam.
c. there will be no difference between the experimental and the control groups.
d. the experiment has been confounded.
a. the biofeedback would raise board scores.
From a purely statistical standpoint, in order to compare a control group (which does not receive the IV or experimental manipulation) to the experimental group the researcher will need
a. a correlation coefficient
b. only descriptive statistics.
c. percentile rank.
d. a test of significance.
d. a test of significance.
The correct answer is that the researcher in this experiment will need a test of significance. Such statistical tests are used to determine whether a difference in the groups’ scores is “significant” or just due to chance factors.
When you see the letter P in relation to a test of significance it means
a. portion.
b. population parameter.
c. probability.
d. the researcher is using an ethnographic qualitative approach.
c. probability.
In the social sciences the accepted probability level is usually
a. .05 or less.
b. 1.0 or higher.
c. .0001 or less.
d. .05 or higher.
a. .05 or less.
The two most popular levels of significance are .05 and .01.
P = .05 really means that
a. five subjects were not included in the study.
b. there is only a 5% chance that the difference between the control group and the experimental
groups is due to chance factors.
c. the level of significance is .01.
d. no level of significance has been set.
b. there is only a 5% chance that the difference between the control group and the experimental groups is due to chance factors.
P = .05 really means that
a. differences truly exist; the experimenter will obtain the same results 95 times out of 100.
b. differences truly exist; the experimenter will obtain the same results 99 times out of 100.
c. there is a 95% error factor.
d. there is a 10% error factor.
a. differences truly exist; the experimenter will obtain the same results 95 times out of 100.
The study that would best rule out chance factors would have a significance level of P =
a. .05.
b. .01.
c. .001.
d. .08.
c. .001.
The smaller the value for P the more stringent the level of significance.
Type I and Type II errors are called ________ and ________ respectively.
a. beta; alpha
b. .01; .05
c. a and b
d. alpha; beta
d. alpha; beta
A Type I error occurs when
a. you have a beta error.
b. you accept null when it is false.
c. you reject null when it is true.
d. you fail to use a test of significance.
c. you reject null when it is true.
Let “RA” be your first error (i.e., alpha, Type I) and remember this error occurs when you “R” (reject) null when you should “A” for accept it.
A Type II error
a. is also called a beta error.
b. means you reject null when it is applicable.
c. means you accept null when it is false.
d. a and c.
d. a and c.
Assume the experiment in question 708 is conducted. The results indicate that the biofeedback helped raise written board exam scores but in reality this is not the case. The researcher has made a
a. Type I error.
b. Type II error.
c. beta error.
d. b and c.
a. Type I error.
A counselor educator decides to increase the sample size in her experiment. This will
a. confound the experiment in nearly every case.
b. raise the probability of Type I and Type II errors.
c. have virtually no impact on Type I and Type II errors.
d. reduce Type I and Type II errors.
d. reduce Type I and Type II errors.
If a researcher changes the significance level from .05 to .001, then
a. alpha and beta errors will increase.
b. alpha errors increase but beta errors decrease.
c. alpha errors decrease; however, beta errors increase.
d. this will have no impact on Type I and Type II errors.
c. alpha errors decrease; however, beta errors increase.
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
a. the student’s t test.
b. a correlation coefficient.
c. a survey.
d. an analysis of variance (ANOVA).
a. the student’s t test.
When comparing two sample groups the t test, which is a simplistic form of the analysis of variance, is utilized.
The t test is used to ascertain whether two sample means are significantly different. The researcher sets the level of significance and then runs the experiment.
The t test is computed and this yields a t value. The researcher then goes to a t table found in the index of most statistics’ texts. If the t value obtained statistically is lower than the t value (sometimes called “critical t”) in the table, then you accept the null hypothesis.
The researcher in question 727 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
a. mean.
b. t test.
c. two-way ANOVA.
d. ANOVA.
d. ANOVA.
The answer is choice “d” since the simple ANOVA or one-way analysis of variance is used when there is more than one level of a single IV, which in this case is the assertiveness training.
If the researcher in the previous question utilized two IVs then the statistic of choice would be the
a. median.
b. t test.
c. two-way ANOVA or MANOVA.
d. ANOVA.
c. two-way ANOVA or MANOVA.
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
a. the mode.
b. a table for t values.
c. a table for F values.
d. the chi-square.
c. a table for F values.
Which level of significance would best rule out chance factors?
a. .05
b. .01
c. .2
d. .001
d. .001
When a researcher uses correlation, then there is no direct manipulation of the IV. A researcher might ask, for example, how IQ correlates with the incidence of panic disorder. Again, nothing is manipulated; just measured. In cases such as this a correlation coefficient will reveal
a. the relationship between IQ and panic disorder.
b. the probability that a significant difference exists.
c. an F test.
d. percentile rank.
a. the relationship between IQ and panic disorder.
If data indicate that students who study a lot get very high scores on state counselor licensing exams, then the correlation between study time and LPC exam scores would be
a. positive.
b. negative.
c. 0.00.
d. impossible to ascertain.
a. positive.
Which of the following would most likely yield a perfect correlation of 1.00?
a. IQ and salary.
b. ICD diagnosis and salary.
c. Length in inches and length in centimeters.
d. Height and weight.
c. Length in inches and length in centimeters.
A good guess would be that if you would correlate the length of CACREP graduates’ baby toes with their CPCE scores the result would be
a. close to 0.00.
b. close to a perfect 1.00.
c. close to a perfect negative correlation of -1.00.
d. be about +.70.
a. close to 0.00.
Dr. X discovered that the correlation between therapists who hold NCC status and therapists who practice systematic desensitization is .90. A student who perused Dr. X’s research told his fellow students that Dr. X had discovered that attaining NCC status causes therapists to become behaviorally oriented. The student is incorrect because
a. systematic desensitization is clearly not a behavioral strategy.
b. this can only be determined via a histogram.
c. the study suffers from longitudinal and maturational effects.
d. correlation does not imply causal.
d. correlation does not imply causal.
Behaviorists often utilize N = 1, which is called intensive experimental design. The first step in this approach would be to
a. consult a random number table.
b. decide on a nonparametric statistical test.
c. take a baseline measure.
d. compute the range.
c. take a baseline measure.
In a new study the clients do not know whether they are receiving an experimental treatment for depression or whether they are simply part of the control group. This is, nevertheless, known to the researcher. Thus, this is a
a. double-blind study.
b. single-blind study.
c. baseline for an intensive N = 1 design.
d. participant observer model.
b. single-blind study.
A large study at a major university gave an experimental group of clients a new type of therapy that was intended to ameliorate test anxiety. The control group did not receive the new therapy. Neither the clients nor the researchers knew which students received the new treatment. This was a
a. double-blind study.
b. single-blind study.
c. typical AB design.
d. case of correlational research.
a. double-blind study.
Experimental is to cause and effect as correlational is to
a. blind study.
b. double-blind study.
c. N = 1 design.
d. degree of relationship.
d. degree of relationship.
In a normal curve the mean, the median, and the mode all fall precisely in the middle of the curve. From a graphical standpoint the so-called normal or Gaussian curve (named after the astronomer/mathematician K. F. Gauss) looks like
a. a symmetrical bell.
b. the top half of a bowling ball.
c. the top half of a hot dog.
d. a mountain which is leaning toward the left.
a. a symmetrical bell.
68-95-99.7 rule (the empirical rule) states that
in a normal distribution 68% of the scores fall within +/-1 standard deviation (SD) of the mean;
95% within 2 SDs of the mean;
and 99.7% within 3 SDs of the mean.
The verdict: almost all the scores will fall between 3 SDs of the mean.
The most common measures of central tendency are the mean, the median, and the mode. The mode is
a. the most frequently occurring score and the least-important measure of central tendency.
b. always 10% less than the mean.
c. the arithmetic average.
d. the middle score in the distribution of scores.
a. the most frequently occurring score and the least-important measure of central tendency.
A bimodal distribution has two modes (i.e., most frequently occurring scores). Graphically, this looks roughly like
a. a symmetrical bell-shaped curve.
b. a camel’s back with two humps.
c. the top half of a bowling ball.
d. a mountain which is leaning toward the left.
b. a camel’s back with two humps.
In a basic curve or so-called frequency polygon the point of maximum concentration is the
a. mean.
b. median.
c. mode.
d. range.
c. mode.
The most useful measure of central tendency is the
a. mean, often abbreviated by an X with a bar over it.
b. median, often abbreviated by Md. or Mdn.
c. mode, often abbreviated by Mo.
d. point of maximum concentration.
a. mean, often abbreviated by an X with a bar over it.
In a career counseling session an electrical engineer mentions three jobs he has held. The first paid $10 per hour, the second paid $30 per hour, and the third paid a higher rate of $50 per hour. The counselor responds that the client is averaging $30 per hour. The counselor is using
a. a Pearson Product-Moment Correlation coefficient.
b. a factorial design.
c. the harmonic mean.
d. the mean.
d. the mean.
From a mathematical standpoint, the mean is merely the sum of the scores divided by the number of scores. The mean is misleading when
a. the distribution is skewed.
b. the distribution has no extreme scores.
c. there are extreme scores.
d. a and c.
d. a and c.
When a distribution of scores is not distributed normally, statisticians call it
a. Gauss’s curve.
b. a symmetrical bell-shaped curve.
c. a skewed distribution.
d. an invalid distribution.
c. a skewed distribution.
The median is
a. the middle score when the data are arranged from highest to lowest.
b. the arithmetic average.
c. the most-frequent value obtained.
d. never more useful than the mean.
a. the middle score when the data are arranged from highest to lowest.
In a new experiment, a counselor educator wants to ferret out the effects of more than one IV. She will use a ________ design.
a. Pearson Product-Moment r.
b. Spearman rank order rho
c. factorial
d. Solomon four-group
c. factorial
In a factorial experiment, several experimental variables are investigated and interactions can be noted. Factorial designs, therefore, include two or more IVs.
Regardless of the shape, the ________ will always be the high point when a distribution is displayed graphically.
a. degrees of freedom (df)
b. mean
c. median
d. mode
d. mode
A group of first-semester graduate students in counseling took an experimental counseling exam that was much more difficult than the NCE. All of the students scored very low. A distribution of their scores would
a. always be a bimodal distribution.
b. be positively skewed.
c. be negatively skewed.
d. produce a curve with a long tail to the left side of the graph.
b. be positively skewed.
Most of the scores would fall on the left or the low side of the distribution.
Graphically then, the “tail” of the distribution would point to the right or the positive side. Memory device: The tail indicates whether the distribution is positively or negatively skewed
Nine of the world’s finest counselor educators are given an elementary exam on counseling theory. Needless to say, all of them scored extremely high. The distribution of scores would most likely be
a. a bell-shaped curve.
b. positively skewed.
c. negatively skewed.
d. indicative that more information would be necessary.
c. negatively skewed.
Billy received an 82 on his college math final. This is Billy’s raw score on the test. A raw score simply refers to the number of items correctly answered. A raw score is expressed in the units by which it was originally obtained. The raw score is not altered mathematically. Billy’s raw score indicates that
a. he is roughly a B student.
b. he answered 82% correctly.
c. his percentile rank is 82.
d. more information is obviously necessary.
d. more information is obviously necessary.
A distribution with class intervals can be graphically displayed via a bar graph also called a
a. histogram.
b. sociogram.
c. genogram.
d. genus.
a. histogram.
When a horizontal line is drawn under a frequency distribution it is known as
a. mesokurtic.
b. the y axis.
c. the ordinate.
d. the x axis.
d. the x axis.
The x axis is used to plot the IV scores. The x axis could also be called the _______ on your exam.
a. y axis
b. abscissa
c. DV
d. vertical axis
b. abscissa
The y axis is used to plot the frequency of the DVs. The y axis could also be called the ______ on your exam.
a. ordinate
b. abscissa
c. IV
d. horizontal axis
a. ordinate
If a distribution is bimodal, then there is a good chance that
a. the curve will be normal.
b. the curve will be shaped like a symmetrical bell.
c. the researcher is working with two distinct populations. d. the research is useless in the field of counseling.
c. the researcher is working with two distinct populations.
If an experiment can be replicated by others with almost identical findings, then the experiment is
a. impacted by the observer effect.
b. said to be a naturalistic observation.
c. the result of ethological observation.
d. said to be reliable.
d. said to be reliable.
The range is a measure of variance and usually is calculated by determining the difference between the highest and the lowest score. Thus, on a test where the top score was a 93 and the lowest score was a 33 out of 100, the range would be
a. 61.
b. 77.
c. 59.
d. more information is necessary.
a. 61.
A sociogram is to a counseling group as a scattergram is to
a. the normal curve.
b. the range.
c. a correlation coefficient.
d. the John Henry effect.
c. a correlation coefficient.
A counselor educator is teaching two separate classes in individual inventory. In the morning class the counselor educator has 53 students and in the afternoon class she has 177 students. A statistician would expect that the range of scores on a test would be
a. greater in the afternoon class than the morning class.
b. smaller in the afternoon class.
c. impossible to speculate about without more data.
d. nearly the same in either class.
a. greater in the afternoon class than the morning class.
The variance is a measure of dispersion of scores around some measure of central tendency. The variance is the standard deviation squared. A popular IQ test has a standard deviation (SD) of 15. A counselor would expect that if the mean IQ score is 100, then
a. the average score on the test would be 122.
b. 95% of the people who take the test will score between 85 and 115.
c. 99% of the people who take the test will score between 85 and 115.
d. 68% of the people who take the test will score between 85 and 115.
d. 68% of the people who take the test will score between 85 and 115.
Using the data in question 764 one could say that a person with an IQ score of 122 would fall within
a. +or-1SD of the mean.
b. the average IQ range.
c. an IQ score which is more that 2 SD above the mean.
d. +or-2SD of the mean.
d. +or-2SD of the mean.
The standard deviation (SD) is the square root of the variance. A z-score of +1 would be the same as
a. 1 SD above the mean.
b. 1 SD below the mean.
c. the same as a so-called t-score.
d. the median score if the population is normal.
a. 1 SD above the mean.
Z-scores are the same as standard deviations! In fact, z-scores are often called standard scores. Write it on your wrist and don’t wash it off for a week.
Z-scores (also called standard scores) are the same as standard deviations, thus a z-score of -2.5 means
a. 2.5 SD below the mean.
b. 2.5 SD above the mean.
c. a CEEB score of 500.
d. –.05% of the population falls within this area of the curve.
a. 2.5 SD below the mean.
A t-score is different from a z-score. A z-score is the same as the SD. A t-score, however, has a mean of 50 with every 10 points landing at a SD above or below the mean. Thus a t-score of 60 would equal +1 SD while a t-score of 40 would be
a. –2 SD.
b. –1 SD.
c. a z-score of +2.
d. a z-score of +1.
b. –1 SD.
An IQ score on an IQ test which was 3 SD above the mean would be
a. about average.
b. slightly below the norm for adults.
c. approximately 110.
d. very superior.
d. very superior.
A platykurtic distribution would look approximately like
a. the upper half of a bowling ball.
b. the normal distribution.
c. the upper half of a hot dog, lying on its side over the abscissa.
d. a camel’s back.
c. the upper half of a hot dog, lying on its side over the abscissa.
If you see the word kurtosis on your exam, it refers to the peakedness of a frequency distribution. A “platykurtic” distribution is flatter and more spread out than the normal curve.
When a curve is very tall, thin, and peaked it is considered “leptokurtic.” Suggested memory device: A leptokurtic distribution leaps tall buildings in a single bound.
Test scores on an exam that fell below 3 SD of the mean or above 3 SD of the mean could be described as
a. extreme.
b. very typical or within the average range.
c. close to the mean.
d. very low scores.
a. extreme.
In World War II the Air Force used stanine scores as a measurement. Stanine scores divide the distribution into nine equal intervals with stanine 1 as the lowest ninth and 9 as the highest ninth. In this system 5 is the mean. Thus a Binet IQ score of 101 would fall in stanine
a. 1.
b. 9.
c. 5.
d. 7.
c. 5.
There are four basic measurement scales: the nominal, the ordinal, the interval, and the ratio. The nominal scale is strictly a qualitative scale. It is the simplest type of scale. It is used to distinguish logically separated groups. Which of the following illustrates the function of the nominal scale?
a. A horse categorized as a second-place winner in a show.
b. A DSM or ICD diagnostic category.
c. An IQ score of 111.
d. The weight of an Olympic barbell set.
b. A DSM or ICD diagnostic category.
The ordinal scale rank orders variables, though the relative distance between the elements is not always equal. An example of this would be
a. a horse categorized as a second-place winner in a race.
b. an IQ score of 111.
c. the weight of an Olympic barbell set.
d. a temperature of 78 degrees Fahrenheit.
a. a horse categorized as a second-place winner in a race.
The interval scale has numbers scaled at equal distances but has no absolute zero point. Most tests used in school fall into this category. You can add and subtract using interval scales but cannot multiply or divide. An example of this would be that
a. an IQ of 70 is 70 points below an IQ of 140, yet a counselor could not assert that a client with an IQ of 140 is twice as intelligent as a client with an IQ of 70.
b. a 20 lb weight is half as heavy as a 40 lb weight.
c. a first-place runner is three times as fast as the third-place finisher.
d. a baseball player with number 9 on his uniform can get 9 times more hits than player number 1.
a. an IQ of 70 is 70 points below an IQ of 140, yet a counselor could not assert that a client with an IQ of 140 is twice as intelligent as a client with an IQ of 70.
A ratio scale is an interval scale with a true zero point. Ratio measurements are possible using this scale. Addition, subtraction, multiplication, and division all can be utilized on a ratio scale. In terms of counseling research
a. the ratio scale is the most practical.
b. all true studies utilize the ratio scale.
c. a and b.
d. most psychological attributes cannot be measured on a ratio scale.
d. most psychological attributes cannot be measured on a ratio scale.
Researchers often utilize naturalistic observation when doing ethological investigations or studying children’s behavior. In this approach
a. the researcher manipulates the IV.
b. the researcher manipulates the IV and the DV.
c. the researcher does not manipulate or control variables.
d. the researcher will rely on a 2 × 3 factorial design.
c. the researcher does not manipulate or control variables.
The simplest form of descriptive research is the ________, which requires a questionnaire return or completion rate of ________ to be accurate.
a. survey; 5%
b. survey; 10–25%
c. survey; 50–75%
d. survey; 95%
c. survey; 50–75%
A researcher gives a depressed patient a sugar pill and the individual’s depression begins to lift. This is known as
a. the Hawthorne effect.
b. the Halo effect.
c. the placebo effect.
d. the learned helplessness syndrome.
c. the placebo effect.
A researcher notes that a group of clients who are not receiving counseling, but are observed in a research study, are improving. Her hypothesis is that the attention she has given them has been curative. The best explanation of their improvement would be
a. the Hawthorne effect.
b. the Halo effect.
c. the Rosenthal effect.
d. a Type II error in the research.
a. the Hawthorne effect.
When observations are made and the subjects’ behavior is influenced by the very presence of the researcher, it is often called a “reactive effect” or “reactivity” of observation/experimentation.
The subject is said to be reacting to the presence of the investigation. As I mentioned in question 760, this is sometimes known as an observer effect
An elementary school counselor tells the third-grade teacher that a test revealed that certain children will excel during the school year. In reality, no such test was administered. Moreover, the children were unaware of the experiment. By the end of the year, all of the children who were supposed to excel did excel! This would best be explained via
a. the Hawthorne effect.
b. the Halo effect.
c. the Rosenthal effect or the experimenter expectancy effect.
d. observer bias.
c. the Rosenthal effect or the experimenter expectancy effect.
A panel of investigators discovered that a researcher who completed a major study had unconsciously rated attractive females as better counselors. This is an example of
a. the Hawthorne effect.
b. the Halo effect.
c. the Rosenthal effect.
d. trend analysis.
b. the Halo effect.
All of the following describe the analysis of covariance technique except:
a. It is a correlation coefficient.
b. It controls for sample differences which exist.
c. It helps to remove confounding, extraneous variables.
d. It statistically eliminates differences in average values influenced by covariates.
a. It is a correlation coefficient.
First and foremost, the ANCOVA is similar to the ANOVA yet more powerful because it can help to eliminate differences between groups which otherwise could not be solely attributed to the experimental IVs. In other words, although ideally each random sample will be equal to every other random sample this is not always the case.
In summary, the ANCOVA tests a null hypothesis regarding the means of two or more groups after the random samples are adjusted to eliminate average differences. It is often referred to as an “adjusted average” statistical procedure
Three years ago an inpatient addiction treatment center in a hospital asked their clients if they would like to undergo an archaic form of therapy created by Wilhelm Reich known as “vegotherapy.” Approximately half of the clients stated they would like try the treatment while the other 50% stated that they would stick with the tried-and-true program of the center. Outcome data on their drinking was compiled at the end of seven weeks. Today—three years later—a statistician compared the two groups based on their drinking behavior at the end of the seven weeks using a t test. This study could best be described as
a. correlation research.
b. a true experiment.
c. a cohort study.
d. causal comparative research.
d. causal comparative research.
The WAIS-IV IQ test is given to 100 adults picked randomly. How many of the adults most likely
would receive an IQ score between 85 and 115?
a. 7.
b. 99.
c. 95.
d. 68.
d. 68.
A researcher creates a new motoric test in which clients throw a baseball at a target 40 feet away. Each client is given 100 throws, and the mean on the test is 50. (In other words, out of 100 throws the mean number of times the client will hit the target is 50 times.) Sam took the test and hit the target just two times out of the 100 throws allowed. Jeff, on the other hand, hit the target an amazing 92 times out of 100 trials. Using the concept of statistical regression toward the mean the research would predict that
a. Sam’s and Jeff’s scores will stay about the same if they take the test again.
b. Sam and Jeff will both score over 95 next time.
c. Sam’s score will increase while Jeff’s will go down.
d. Sam will beat Jeff if they both are tested again.
c. Sam’s score will increase while Jeff’s will go down.
Standardized tests always have
a. formal procedures for test administration and scoring.
b. a mean of 100 and an SD of 15.
c. a mean of 100 and a standard error of measurement of 3.
d. a reliability coefficient of +.90 or above.
a. formal procedures for test administration and scoring.
There are two distinct types of developmental studies. In a cross-sectional study, clients are assessed at one point in time. In a longitudinal study, however,
a. the researcher has an accomplice pose as a client and act in a certain manner.
b. the same people are studied over a period of time.
c. the researcher relies on a single observation of a variable being investigated.
d. all of the above.
b. the same people are studied over a period of time.
A counselor educator, Dr. Y, is doing research on his classes. He hypothesizes that if he reinforces students in his morning class by smiling each time a student asks a relevant question, then more students will ask questions and exam grades will go up. Betty and Linda accidentally overhear Dr. Y discussing the experiment with the department chair. Betty is a real people pleaser and decides that she will ask lots of questions and try to help Dr. Y confirm his hypothesis. Linda, nevertheless, is angry that she is being experimented on and promises Betty that Dr. Y could smile until the cows came in but she still wouldn’t ask a question. Both Linda and Betty exemplify
a. internal versus external validity.
b. ipsative versus normative interpretation of test scores.
c. the use of the nonparametric chi-square test.
d. demand characteristics of experiments.
d. demand characteristics of experiments.
If an ANOVA yields a significant F value, you could rely on ________ to test significant differences between group means.
a. one- and two-tailed t tests
b. percentile rank
c. Duncan’s multiple-range, Tukey’s, or Scheffe’s test
d. summative or formative evaluation
c. Duncan’s multiple-range, Tukey’s, or Scheffe’s test
Switching the order in which stimuli are presented to a subject in a study is known as
a. the Pygmalion effect.
b. counterbalancing.
c. ahistoric therapy.
d. multiple treatment interference.
b. counterbalancing.
A doctoral student who begins working on his bibliography for his thesis would most likely utilize
a. SPSS.
b. ERIC, for primary and secondary resources.
c. O*NET.
d. a random number table or random number-generation computer program.
b. ERIC, for primary and secondary resources.
In a random sample each individual in the population has an equal chance of being selected. Selection is by chance. In a new study, however, it will be important to include 20% African Americans. What type of sampling procedure will be necessary?
a. Standard (i.e., simple) random sampling is adequate.
b. Cluster sampling is called for.
c. Stratified sampling would be best.
d. Horizontal sampling is required.
c. Stratified sampling would be best.
A researcher wants to run a true experiment but insists she will not use a random sample. You could safely say that
a. she absolutely, positively cannot run a true experiment.
b. her research will absolutely, positively be casual comparative research.
c. she could accomplish this using systematic sampling.
d. her research will be correlational.
c. she could accomplish this using systematic sampling.
An operational definition
a. outlines a procedure.
b. is theoretical.
c. outlines a construct.
d. is synonymous with the word axiom.
a. outlines a procedure.
In a parametric test the assumption is that the scores are normally distributed. In nonparametric testing the curve is not a normal distribution. Which of these tests are nonparametric statistical measures?
a. Mann–Whitney U test, often just called the U test.
b. Wilcoxon signed-rank test for matched pairs.
c. Soloman and the Kruskal–Wallis H test.
d. All of the above are nonparametric measures.
d. All of the above are nonparametric measures.
A researcher studies a single session of counseling in which a counselor treats a client’s phobia using a paradoxical strategy. He then writes in his research report that paradox is the treatment of choice for phobics. This is an example of
a. deductive logic or reasoning.
b. inductive logic or reasoning.
c. attrition or so-called experimental mortality.
d. construct validity.
b. inductive logic or reasoning.
This is inductive since the research goes from the specific to a generalization.
Deductive—which sounds a bit like “reductive”—reduces the general to the specific.
A client goes to a string of 14 chemical dependency centers that operate on the 12-step model. When his current therapist suggests a new inpatient program the client responds with, “What for, I already know the 12 steps?” This client is using
a. deductive logic.
b. inductive logic.
c. an empathic assertion.
d. an I statement.
a. deductive logic.
Mike takes a math achievement test. In order to predict his score if he takes the test again the counselor must know
a. the range of scores in his class.
b. the standard deviation.
c. the standard error of measurement (SEM).
d. the mode for the test.
c. the standard error of measurement (SEM).
The SEM tells the counselor what would most likely occur if the same individual took the same test again
A researcher performs a study that has excellent external or so-called population validity, meaning that the results have generalizability. To collect his data the researcher gave clients a rating scale in which they were to respond with strongly agree, somewhat agree, neutral, somewhat disagree, or strongly disagree. This is
a. a projective measure.
b. unacceptable for use in standardized testing.
c. a speed test.
d. a Likert Scale.
d. a Likert Scale.
