Research and Program Evaluation (Research & Program Eval) Flashcards

1
Q

701. 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 rela-**
  • *tionships.**

d. the quasi-experiment.

A

A mini pep talk from me to you: Just think of statistics and
research as another area on the test—no easier and no
harder. Most of the students I’ve spoken to who used this
book to study for major exams were surprised to fi nd that
questions related to this section of the test were not that
diffi cult! I shall try c. the experiment, used to discover cause-and-effect rela-
tionships.

keep my explanations simple and
will vary the presentation of the material so that if you
don’t understand it in one way, you’ll comprehend it when

RT58628_C009.indd 385 T58628_C009.indd 385 10/22/2007 4:07:51 PM 0/22/2007 4:07:51 PM

386 Encyclopedia of Counseling
it is explained in a different manner. And lastly, I promise
repetition, repetition, and more repetition!
Experimental research is the process of gathering data in order
to make evaluative comparisons regarding different situations.
An experiment must have the conditions of treatment controlled

via the experimenter and random assignments (also called ran-
domization) used in the groups. An experiment attempts to

eliminate all extraneous variables. In the quasi-experiment
(choice “d”) the researcher uses preexisting groups, and hence
the IV (independent variable) cannot be altered (e.g., gender or

ethnicity). In a quasi-experiment you cannot state with any de-
gree of statistical confi dence that the IV caused the DV (depen-
dent variable). One popular type of quasi-experiment is known

as the “ex post facto study.” Ex post facto literally means “after
the fact,” connoting a correlational study or research in which
intact, preexisting groups are utilized. In the case of the ex post
facto study, the IV was administered before the research began.
When conducting or perusing a research study a counselor is
very concerned with “internal and external validity.” Threats

to internal validity include maturation of subjects (psychologi-
cal and physical changes including fatigue due to the time in-
volved), mortality (i.e., subjects withdrawing), instruments used

to measure the behavior or trait, and statistical regression (i.e.,
the notion that extremely high or low scores would move toward
the mean if the measure is utilized again). Internal validity
refers to whether the DVs were truly infl uenced by the
experimental IVs or whether other factors had an impact.
External validity, on the other hand, refers to whether the

experimental research results can be generalized to larg-
er populations (i.e., other people, settings or conditions).

Thus, if the results of the study only apply to the population in
the study itself then the external validity is said to be low. P.S.:
If it’s been a while and you’ve forgotten terms like IV and DV
just hold your pants on; we’ll get to you in a minute. As for the
other incorrect choices, a “factor analysis” (choice “a”) refers to

statistical procedures that use the important or underlying “fac-
tors” in an attempt to summarize a lot of variables. Hence, a

test which measures a counselor’s ability may try to describe the

three most important variables (factors) that make an effective
helper, although literally hundreds of factors may exist. Using
factor analysis procedures, a brief test that measures the three
major factors maybe able to predict who will be an effective
counselor as accurately as 10 other tests that examine hundreds

of variables or so-called factors. Choice “b” mentions the “chi-
square.” The chi-square is a nonparametric statistical measure

that tests whether a distribution differs signifi cantly from an ex-
pected theoretical distribution.

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2
Q

702. 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 coeffi cient.**
  • *d. interpreting the results using a clinical interview.**
A

a. interpreting the results in the simplest way.

Parsimonious literally means a tendency to be miserly and not

overspend. A parsimonious individual is said to be overly eco-
nomical and stingy. In research, we strive for parsimony in the

sense that the easiest and less complex explanation is said to be
the best; an economical description if you will. Simply put, the

simplest explanation of the fi ndings is always preferred. The fac-
tor analysis mentioned in the previous answer is parsimonious

in the sense that 10 tests which measure the dimensions of an
effective counselor can be explained via a short measure which
describes three underlying variables. Factor analysis then, is
concerned with data reduction.

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3
Q
  • *703. 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 coeffi cient.**
  • *d. interpret the results using a clinical interview.**
A

a. interpret the results in the simplest manner.

A word to the wise: Exams often refer to parsimony as Occam’s
Razor, the principle of economy, or Lloyd Morgan’s 1894 Canon
(canon in this sense means “law”). Conway Lloyd Morgan was an
English psychologist/physiologist,

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4
Q
  • *704. 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/fl awed.**
  • *d. is valid and will most likely help the fi eld of counseling.**
A

c. is confounded/fl awed.

The experiment is said to be invalid (so much for choice “d”)
due to an extraneous independent variable (IV) (e.g., the gestalt
therapy). Variables which are undesirable confound or “fl aw” the

experiment. The only experimental variable should be the inde-
pendent variable—in this case the new form of counseling. The

IV must have the effect on the dependent variable (here the DV
would be some measure of the client’s mental health). In this
experiment any changes could not be attributed with any degree

of certainty to the new form of counseling since dependent vari-
able changes could be due to the gestalt intervention (an extra-
neous confounding variable). All correlational research is said to

be confounded.

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5
Q

705. 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.**
A

d. parsimony is to Occam’s Razor.

A simple analogy question. Nondirective and person-centered
therapy are synonymous; both refer to names given to Rogerian

counseling. Parsimony is roughly synonymous with Occam’s Ra-
zor. Important exam reminder: Most counselors see themselves

as practitioners rather than researchers. Research, nevertheless,
helps the entire fi eld of counseling advance. It has been pointed
out that we know about the work of many famous counselors
and career counselors because of their published research not
because of what transpired in their sessions. Test hint: The

American Psychological Association’s Journal of Counsel-
ing Psychology publishes more counseling research arti-
cles than any other periodical in our fi eld.

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6
Q
  • *705. 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.**
A

d. parsimony is to Occam’s Razor.

A simple analogy question. Nondirective and person-centered
therapy are synonymous; both refer to names given to Rogerian

counseling. Parsimony is roughly synonymous with Occam’s Ra-
zor. Important exam reminder: Most counselors see themselves

as practitioners rather than researchers. Research, nevertheless,
helps the entire fi eld of counseling advance. It has been pointed
out that we know about the work of many famous counselors
and career counselors because of their published research not
because of what transpired in their sessions. Test hint: The

American Psychological Association’s Journal of Counsel-
ing Psychology publishes more counseling research arti-
cles than any other periodical in our fi eld.

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7
Q
  • *706. 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

a. undesirable variables are not kept out of the experiment.

I hope you didn’t mark choices “b” and “d” since they are neces-
sary for a proper experiment. Confounding is said to occur when

a undesirable variable which is not controlled by the researcher

is introduced in the experiment. Hint: Your exam could re-
fer to this as a contaminating variable. If you missed this

one, fess up and review question 704. Take a good hard look at

choice “c.” Basic research is conducted to advance our under-
standing of theory, while applied research (also called action

research or experience-near research) is conducted to ad-
vance our knowledge of how theories, skills, and techniques can

be used in terms of practical application. Often counselors assert
that much of the research is not relevant to the actual counseling
process and indeed they are correct.

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8
Q

707. 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

a. independent variable; dependent variable.

Variables in an experiment are categorized as independent vari-
ables (IVs) or dependent variables (DVs). A variable is merely a

behavior or a circumstance that can exist on at least two levels
or conditions. In plain, simple, everyday English, a variable is
a factor that “varies” or is capable of change. In an experiment
the IV is the variable that the researcher manipulates, controls,

alters, or wishes to experiment with. A neat little memory de-
vice is that IV begins with an “I,” so imagine yourself as the re-
searcher and remember “I manipulate the IV” or “I experiment

with the IV.” The DV expresses the outcome or the data. Here
the memory device is a cinch: DV begins with a “D” and so does
the word data. The DV expresses the data regarding factors you

wish to measure. IVs and DVs—the variables of the experimen-
tal trade—can be discrete (e.g., a brand of counseling or oc-
cupation) or continuous (e.g., height or weight). Exam score

booster: If your exam describes a true experiment—such
as the biofeedback research described in the next several
questions—except for the fact that the groups were not
randomly assigned, then the new exams are calling this a
causal comparative design. Expect to see this term on the
exam. Data gleaned from the causal comparative ex-post
facto or after the fact design can be analyzed with a test
of signifi cance (e.g., a t test or ANOVA) just like any true
experiment.

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9
Q
  1. A professor of counselor education hypothesized that biofeed-
    back training could reduce anxiety and improve the average
  • *score on written board exams. If this professor decides to con-**
  • *duct 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.**
A

c. biofeedback; board exam score.

Ah, here we have it: the old standby in the fi eld of comprehen-
sive exams. The examinee is given an experiment to ferret out

the IV and DV. Now I’ve got this uncanny feeling that you won’t
be caught by surprise when you see it! Okay, time to plug in your
memory devices. “I manipulate…or I experiment with, well, the
biofeedback training, of course.” The “I” statement here gives
you your “IV.” For your “DV” (remember DV begins with a
“D” like “data”) your data is provided by the board exam score.
True, the researcher here hypothesized that the training lowers
anxiety, but you won’t have any direct data regarding this trait.
Hence it will not be your DV in this experiment.

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10
Q

709. 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.**
A

d. IV or independent variable.

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11
Q
  • *710. 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. at least 60 subjects in the control group; at least 60 subjects in the experimental group.

A

c. control group; experimental group.

The control group and the experimental group both have the
same characteristics except that members of the control group
will not have the experimental treatment applied to them. In

this case, for example, the control group will not receive the bio-
feedback training. The control group does not receive the

IV. The experimental group receives the IV. The basic pre-
supposition is that the averages (or means) of the groups do not

differ signifi cantly at the beginning of the experiment. Choice
“d” would also be a correct answer if it said 15 per group instead
of 60. Remember that if you cannot randomly assign the
subjects to the two groups then your exam will consider
the research a quasi-experiment. Most experts suggest that

you need at least 30 people to conduct a true experiment. Corre-
lational research requires 30 subjects per variable while a survey

should include at least 100 people.

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12
Q

711. 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.**
A

c. a and b.

The experimental group receives the IV, which in this case is

the biofeedback training. An organismic variable is one the re-
searcher cannot control yet exists such as height, weight, or gen-
der. To determine whether an organismic IV exists you simply

ask yourself if there is an experimental variable being examined

which you cannot manipulate. In most cases, when you are con-
fronted with IV/DV identifi cation questions, the IV will be of the

“manipulated variety.”

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13
Q
  • *712. Hypothesis testing is most closely related to the work of**
  • *a. Hoppock.**
  • *b. Freud.**
  • *c. Lloyd Morgan.**
  • *d. R. A. Fisher.**
A

d. R. A. Fisher.

Hypothesis testing was pioneered by R. A. Fisher. A hypothesis
is a hunch or an educated guess which can be tested utilizing the
experimental model. A hypothesis might be that biofeedback

raises board exam scores; or that reality therapy reduces dys-
functional classroom behavior in high school students; or per-
haps that cognitive therapy relieves depression in males in the

midst of a divorce. A hypothesis is a statement which can be
tested regarding the relationship of the IV and the DV.

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14
Q

713. The null hypothesis suggests that there will not be a significant difference between the experimental group which received them 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 bio-**
  • *feedback.**
  • *c. biofeedback will not improve the board exam scores.**
  • *d. meta-analysis is required.**
A

c. biofeedback will not improve the board exam scores.

The null hypothesis asserts that the samples will not change (i.e.,
they will still be the same) even after the experimental variable
is applied. Let me say that in a slightly different way: according
to the null hypothesis the control group and the experimental

group will not differ at the end of the experiment. The null hy-
pothesis is simply that the IV does not affect the DV. Null

means “nil” or “nothing.” Null is a statement of “no difference.”
Choice “d” introduces the term meta-analysis, which is a study
that analyzes the fi ndings of numerous studies. Hence, a study
of reality therapy that looked at the results of 20 reality therapy
studies would be a meta-analysis.

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15
Q
A

c. biofeedback will not improve the board exam scores.

The null hypothesis asserts that the samples will not change (i.e.,
they will still be the same) even after the experimental variable
is applied. Let me say that in a slightly different way: according
to the null hypothesis the control group and the experimental

group will not differ at the end of the experiment. The null hy-
pothesis is simply that the IV does not affect the DV. Null

means “nil” or “nothing.” Null is a statement of “no difference.”
Choice “d” introduces the term meta-analysis, which is a study
that analyzes the fi ndings of numerous studies. Hence, a study
of reality therapy that looked at the results of 20 reality therapy
studies would be a meta-analysis.

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16
Q
  • *714. 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

a. the biofeedback would raise board scores.

An alternative hypothesis—which may be called the “affi rma-
tive hypothesis” on your exam—asserts that the IV has indeed

caused a change.

17
Q

715. 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.**
A

d. a test of significance.

Let’s go through each possible alternative here. Choice “a” or
correlational research does not make use of the paradigm in
which an IV is experimentally introduced. Descriptive statistics
(choice “b”), as the name implies, merely describes data (e.g.,
the mean, the median, or the mode). In order to compare two
groups, “inferential statistics,” which infer something about the

population, are necessary. Choice “c,” percentile rank, is a de-
scriptive statistic that tells the counselor what percentage of the

cases fell below a certain level. Hence, if Joe’s score puts him
at the 50th percentile, than 50 percent of the people had raw

scores lower than his particular score. Do not confuse percen-
tiles with percentage scores. A percentage score is just

another way of stating a raw score. A percentage score of
50 could be a very high, a very low, or an average score on
the test. It merely says that the examinee got half of the

answers correct. Graphically speaking, a distribution of per-
centile scores will always appear rectangular and fl at. The cor-
rect answer is that the researcher in this experiment will need a
test of signifi cance. Such statistical tests are used to determine
whether a difference in the groups’ scores is “signifi cant” or just

due to chance factors. In this case a t test would be used to deter-
mine if a signifi cant difference between two means exists. This

has been called the “two-groups” or “two-randomized-groups”
research design. In this study, the two groups were independent
of each other in the sense that the change (or lack of it) in one
group did not infl uence the other group. Thus, this is known as
an “independent group comparison design.” If the researcher
had measured the same group of subjects without the IV and

with the IV, then the study would be a “repeated-measures com-
parison design.” Exam hint: When a research study uses differ-
ent subjects for each condition, some exams refer to the study as

a “between-subjects design.” If the same subjects are employed
(e.g., such as in repeated measures), your exam could refer to it
as a “within-subjects design.” To state it in a different manner: In
a between-subjects design, each subject receives only one value

of the IV. In a within-subjects design, two or more values or lev-
els of the IV are administered to each subject.

18
Q
  • *716. When you see the letter P in relation to a test of signifi cance it means**
  • *a. portion.**
  • *b. population parameter.**
  • *c. probability.**
  • *d. the researcher is using an ethnographic qualitative ap-**
  • *proach.**
A

c. probability.

Don’t be surprised if the word parameter makes its way into your

exam. A parameter is technically a value obtained from a popula-
tion while a statistic is a value drawn from a sample. A parameter

summarizes a characteristic of a population (e.g., the average
male’s height is 5’11”). The correct answer is choice “c” which

refers to the probability or the level of signifi cance. Tradition-
ally, the probability in social science research (often indicated by

a P) has been set at .05 or lower (i.e., 01 or .001). The .05 level
indicates that differences would occur via chance only 5 times
in 100. The signifi cance level must be set before the experiment
begins! And oh yes, ethnographic research involves research
that is collected via interviews, observations, and inspection of
documents.

19
Q
A

c. probability.

Don’t be surprised if the word parameter makes its way into your

exam. A parameter is technically a value obtained from a popula-
tion while a statistic is a value drawn from a sample. A parameter

summarizes a characteristic of a population (e.g., the average
male’s height is 5’11”). The correct answer is choice “c” which

refers to the probability or the level of signifi cance. Tradition-
ally, the probability in social science research (often indicated by

a P) has been set at .05 or lower (i.e., 01 or .001). The .05 level
indicates that differences would occur via chance only 5 times
in 100. The signifi cance level must be set before the experiment
begins! And oh yes, ethnographic research involves research
that is collected via interviews, observations, and inspection of
documents.

20
Q
  • *717. In the social sciences the accepted probability level is usually**
  • *a. .05 or less.**
  • *b. 1.0 or higher.**
  • *c. .0001 or less.**
  • *d. 5.0.**
A

a. .05 or less.

.05 and .01 are the two most popular levels of signifi cance.

20
Q
  • *717. In the social sciences the accepted probability level is usually**
  • *a. .05 or less.**
  • *b. 1.0 or higher.**
  • *c. .0001 or less.**
  • *d. 5.0.**
A

a. .05 or less.

.05 and .01 are the two most popular levels of signifi cance.

21
Q

718. P = .05 really means that

  • *a. fi ve 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 signifi cance is .01.**
  • *d. no level of signifi cance has been set.**
A
  • *b. there is only a 5% chance that the difference between**
  • *the control group and the experimental groups is due to**
  • *chance factors.**

Important note: Many experts in the fi eld feel it is misleading

when many exams still refer to this as the “95% confi dence inter-
val,” meaning that the results would be due to chance only fi ve

times out of 100. When P=.05, differences in the experimental

group and the control group are evident at the end of the experi-
ment, and the odds are only one in 20 that this can be explained

by chance. So once more for good measure (no pun intended!),
your exam could refer to the “level of signifi cance” as the level
of confi dence or simply the confi dence level. The meaning is
intended to be the same.

22
Q

719. P = .05 really means that

  • *a. differences truly exist; the experimenter will obtain the**
  • *same results 95 out of 100 times.**
  • *b. differences truly exist; the experimenter will obtain the**
  • *same results 99 out of 100 times.**
  • *c. there is a 95% error factor.**
  • *d. there is a 10% error factor.**
A
  • *a. differences truly exist; the experimenter will obtain the**
  • *same results 95 out of 100 times.**
23
Q
  • *720. The study that would best rule out chance factors would have a significance level of P =**
  • *a. .05.**
  • *b. .01.**
  • *c. .001.**
  • *d. .08.**
A

c. .001.

The smaller the value for P the more stringent the level of sig-
nifi cance. Here, the .001 level is the most stringent level listed,

indicating that there is only one chance in 1,000 that the results
are due to chance, versus one in 20 for .05, and one in 100 for

.01. In plain, everyday English it is easier to get signifi cant re-
sults using .08, .05, or .01, than it is using .001.

24
Q

721. Type I and Type II errors are called _______ and _______ respectively.

  • *a. beta; alpha.**
  • *b. .01; .05.**
  • *c. a and b.**
  • *d. alpha; beta.**
A

d. alpha; beta.

If it sounds a little like Greek, that’s because it is. Alpha and beta
are the fi rst and second letters of the Greek alphabet. A Type I

(alpha error) occurs when a researcher rejects the null hypoth-
esis when it is true; and a Type II error (beta error) occurs when

you accept null when it is false. The memory device RA (as in
“residence advisor”) works well here so you can remember the
principle as well as the sequence. Let “R” signify “reject when
true” and “A”—which comes after “R”—signify “accept when
false.” If that memory device leaves you feeling apprehensive,
here’s another one using the “RA” abbreviation. Let “RA” be

your fi rst error (i.e., alpha, Type I) and remember this error oc-

curs when you “R” (reject) null when you should “A” for ac-
cept it. Or better still use both “RA” devices. The probability

of committing a Type I error equals the level of signifi -
cance mentioned earlier. Therefore, the level of signifi -
cance is often referred to as the “alpha level.” 1 minus

beta is called “the power of a statistical test.” In this re-
spect, power connotes a statistical test’s ability to reject

correctly a false null hypothesis. Parametric tests have more
power than nonparametric statistical tests. Parametric tests are
used only with interval and ratio data.

25
Q
  • *722. 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.**
A

c. you reject null when it is true.

Okay, here it is: Time to plug in your handy dandy memory for-
mula—“RA” or “reject when applicable/true.” Since all statisti-
cal tests rely on probability there is always the chance that the

results were merely chance occurrences. Researchers call these
chance factors “errors.”

26
Q

723. 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.**
A

d. a and c.