EPPP Questions Research and Statistics Exam Practice Questions and Answers
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Eppp
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Eppp
EPPP Questions Research and Statistics
Exam Practice Questions and Answers
R squared is the:
a. coefficient of multiple determination
b. coefficient of stability
c. coefficient of internal consistency
d. silver character on "Star Wars" - Answer️️ -a. coefficient of multiple
determination...
EPPP Questions Research and Statistics
Exam Practice Questions and Answers
R squared is the:
a. coefficient of multiple determination
b. coefficient of stability
c. coefficient of internal consistency
d. silver character on "Star Wars" - Answer✔️✔️-a. coefficient of multiple
determination
When data points are widely scattered around a regression line, this
indicates:
a. low homoscedasticity
b. low correlation coefficient
c. low heteroscedasticity
d. high heteroscedasticity - Answer✔️✔️-b. low correlation coefficient
Heteroscedasticity - Answer✔️✔️-The scatter is uneven (unequal) at
different points on the regression line. For example, there might be high
variability around the regression line at low X (predictor) values and low
variability around the line at high X values. It is different amounts of
scatter, but not high scatter
A psychologist in a hospital is conducting research designed to assess the
effects of a new drug on the social behavior of psychotic patients. Which of
the following would be the best way to decrease experimenter bias in this
type of study?
a. randomized block design
b. a Solomon four-group design
c. counterbalancing
d. a double-blind study - Answer✔️✔️-d. a double blind study
Which of the following is a measure of "amount of variability accounted
for"?
a. Cohen's d
b. F-ratio
c. alpha
d. eta squared - Answer✔️✔️-d. eta squared
Alpha - Answer✔️✔️-Level of significance set by a researcher prior to
analyzing data
Cohen's d - Answer✔️✔️-Used as an index of effect size, but it is a measure
of the mean difference between two groups.
F-ratio - Answer✔️✔️-Statistic calculated when using the analysis of variance
a. estimate the strength of a nonlinear relationship between two continuous
variables
b. estimate the strength of the relationship between two rank-ordered
variables
c. estimate the strength of the relationship between two dichotomous
variables
d. estimate the strength of the relationship between a dichotomous variable
and a continuous variable - Answer✔️✔️-a. estimate the strength of a
nonlinear relationship between two continuous variables.
The most common correlation coefficient - Answer✔️✔️-Pearson r
Pearson r - Answer✔️✔️-Used to measure the relationship between two
continuous variables that are related in a linear way
Note: eta is used when there is a nonlinear relationship
Phi Coefficient - Answer✔️✔️-Can be used to measure the correlation
between two dichotomous variables (i.e, variables that can take one of two
values)
Point-Bisceral Correlation - Answer✔️✔️-Used to measure the correlation
between a dichotomous variable and a continuous variable.
Spearmena's rho - Answer✔️✔️-Used to measure the correlation between
two sets of ranked data
You have conducted a study to assess the relationship between salary and
job performance, and you find a significant correlation between these two
variables. You assistant tells you that the data fail to take into account a
$25.00 cost of living raise that every empoyee received. You should:
a. assume the correlation will not be affected
b. not be concerned since the added amount is too small to make a
significant difference
c. decide that the raise invalidated the research
d. reanalyze the data after the raises have been added to the current
salaries. - Answer✔️✔️-a. assume the correlation will not be affected
Note that you are adding a constant to each score in one of both data sets
does not change the relationship
A psychological researcher would like to determine what variables best
distinguish between patients who benefit from psychotherapy and patients
who do not. To identify these variables, the research would most likely use
which of the following?
a. canonical correlation
b. factor analysis
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