Research Flashcards
What is considered the most valuable type of research?
The experiment, used to discover cause-and-effect relationships, is considered the most valuable type of research because it controls treatment conditions and uses randomization to eliminate extraneous variables.
(c)
What does parsimony mean in the context of experiments?
Parsimony means interpreting the results in the simplest way possible, preferring the least complex explanation for findings in research.
(a)
What does Occam’s Razor suggest about experimental results?
Occam’s Razor suggests that experimenters should interpret results in the simplest manner possible, known as the principle of parsimony or economy.
(a)
What indicates an experiment is confounded or flawed?
An experiment is confounded or flawed if it includes extraneous variables that the experimenter did not control, affecting the validity of the results.
(c)
How is the concept of parsimony related to Occam’s Razor in research?
Parsimony is synonymous with Occam’s Razor, both suggesting that the simplest explanation of experimental results is preferred.
(d)
When is an experiment said to be confounded?
An experiment is confounded when undesirable, uncontrolled variables are introduced, potentially contaminating the results.
(a)
What do IV and DV stand for in experimental terminology?
IV stands for Independent Variable, which is manipulated by the researcher, and DV stands for Dependent Variable, which is the outcome or effect measured in the experiment.
(a)
In an experiment testing biofeedback’s effect on board exam scores, what are the IV and DV?
The IV is the biofeedback training, and the DV is the board exam score.
(c)
What is the variable you manipulate/control in an experiment?
The variable you manipulate/control in an experiment is the IV, or Independent Variable.
(d)
What groups are needed for a formal experiment in counseling education?
A control group and an experimental group are needed, where the experimental group receives the intervention and the control group does not.
(c)
What does the experimental group receive in the context of the biofeedback experiment?
The experimental group receives the manipulated Independent Variable (IV), which is the biofeedback training.
(c)
Who is most closely related to hypothesis testing?
R. A. Fisher is most closely related to hypothesis testing, pioneering methods to test educated guesses in experimental research.
(d)
What does the null hypothesis suggest in an experiment testing the effect of biofeedback on exam scores?
The null hypothesis suggests that biofeedback will not improve board exam scores, predicting no significant difference due to the intervention.
(c)
What does the experimental hypothesis suggest in the biofeedback and board exam experiment?
The experimental hypothesis suggests that biofeedback would raise board exam scores.
(a)
What statistical tool is necessary to compare the control group to the experimental group?
A test of significance, such as a t-test, is necessary to determine if differences between the control and experimental group scores are statistically significant and not due to chance.
(d)
What does the letter P represent in relation to a test of significance?
The letter P represents probability, specifically the probability that the observed differences in an experiment are due to chance.
(c)
What is the accepted probability level in social science research?
The accepted probability level in social science research is usually .05 or less.
(a)
What does P = .05 signify in experimental research?
P = .05 signifies there is only a 5% chance that the difference observed between the control and experimental groups is due to chance.
(b)
What is the implication of P = .05 in terms of experimental repeatability?
P = .05 implies that differences are real and the experimenter will obtain the same results 95 times out of 100.
(a)
Which significance level best rules out chance factors in a study?
A significance level of P = .001 best rules out chance factors, indicating only a 0.1% probability that results are due to chance.
(c)
What are Type I and Type II errors called respectively?
Type I and Type II errors are called alpha and beta errors respectively.
When does a Type I error occur?
A Type I error occurs when you reject the null hypothesis when it is actually true.
What is a Type II error?
A Type II error, also known as a beta error, occurs when you accept the null hypothesis when it is false.
What type of error is made if experimental results incorrectly indicate that biofeedback raises board exam scores?
A Type I error is made, as the null hypothesis that biofeedback does not affect scores is incorrectly rejected.
What is the effect of increasing the sample size in an experiment?
Increasing the sample size reduces both Type I and Type II errors, making the results more likely to be genuine.
What happens if a researcher changes the significance level from .05 to .001?
Alpha errors decrease but beta errors increase, affecting the balance of error types in the experiment.
What statistical method should be used to test for significant differences between an experimental group receiving assertiveness training and a control group that does not?
The student’s t-test should be used to determine if there are significant differences between the two groups.
In an experiment with three groups varying in the number of assertiveness training sessions, which statistical method should be used?
ANOVA (Analysis of Variance) should be used to compare the differences across the three groups.
If an experiment uses two independent variables, what is the appropriate statistical test?
A two-way ANOVA or MANOVA should be used to analyze the effects of the two independent variables.
In an ANOVA, what is consulted to determine if significant differences exist?
A table for F values is consulted to check if the differences between groups are statistically significant.
Which level of significance best rules out chance factors in an experiment?
P = .001 best rules out chance factors by setting a stringent threshold for statistical significance.
What does a correlation coefficient reveal?
A correlation coefficient reveals the relationship between two variables, such as IQ and the incidence of panic disorder.
What would be the correlation between study time and exam scores if more study time leads to higher scores?
The correlation would be positive, indicating that increases in one variable are associated with increases in the other.
Which scenario is likely to yield a perfect correlation of 1.00?
The correlation between length in inches and length in centimeters would yield a perfect correlation of 1.00 due to the direct conversion factor.
What would be the expected correlation between the length of CACREP graduates’ baby toes and their CPCE scores?
The correlation is expected to be close to 0.00, indicating no relationship between these two variables.
Why is it incorrect to say that NCC status causes therapists to practice systematic desensitization based on a high correlation between the two?
It is incorrect because correlation does not imply causation; a high correlation does not mean one variable causes the other.
What is the first step in an N = 1 intensive experimental design used by behaviorists?
The first step is to take a baseline measure of the behavior in question.
What type of study is conducted when clients do not know their group assignment but the researcher does?
This is a single-blind study, where subjects are unaware of their group assignment to prevent bias.
What type of study is it when neither the clients nor the researchers know who received a new treatment?
This is a double-blind study, ensuring neither the participants nor the experimenters can introduce bias into the results.
How is correlational research described in relation to its ability to determine relationships?
Correlational research is described as measuring the degree of relationship between variables, not cause and effect.