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Psychology
7. Research Methods
Inferential Statistical Test
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Cards (13)
What are the three factors to consider when choosing an inferential statistical test?
The
design of the study
, the
level of data
, and whether a
difference
or
correlation
is being measured
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What does it mean if a study involves an unrelated design?
It means the study uses an
independent groups design
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What types of data can be collected during a study?
Ordinal
,
nominal
, or
interval
data
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What is the difference between measuring a difference and measuring a correlation?
Measuring a difference compares
groups
, while measuring a correlation examines relationships between
variables
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What statistical tests are used for different types of data?
Nominal
:
Test of difference:
Chi-square
Test of association: Chi-square
Ordinal
:
Test of difference:
Mann-whitney
Test of association:
Spearman's Rho
Interval
:
Test of difference:
Unrelated t-test
Test of association:
Pearson's R
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Why is it important to remember the table of statistical tests?
It helps answer exam questions about appropriate statistical tests for
research studies
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What is the purpose of statistical tests?
To determine whether a
significant difference
or
correlation
exists
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What are the two values compared in a statistical test?
The
calculated value
and the
critical value
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How is the critical value determined?
It is worked out from a table of
probability values
based on
various factors
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What factors influence the calculation of the critical value?
Whether it is a one or
two-tailed
test, the
P value
, and either the
N value
or
degrees of freedom
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What does the Rule of R state about statistical tests with an R in their name?
The calculated value must be greater than or equal to the
critical value
for the result to be significant
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What happens if the calculated value meets the Rule of R?
The
null hypothesis
can be rejected and the
alternative hypothesis
is supported
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What is required for statistical tests without an R in their name to be significant?
The calculated value must be less than or equal to the
critical value
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