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Research methods
Levels of data and inferential statistics
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Created by
Rosie Runnicles
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Cards (22)
Nominal
data
Data in separate categories
without
order, e.g., Obeyed/Disobeyed
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Ordinal
data
Data ordered in some way, e.g., 1st,
2nd
,
3rd
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Interval data
Data with equal intervals, no true zero, e.g., minutes, kilograms
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Ratio
data
Data on a
scale
with a true
zero
, e.g., weight, time
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Critical value table
Table used to find if a
calculated
value is statistically
significant
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Statistical significance
Result
unlikely
due to chance, often at 5% level (
0.05
)
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Type I error
Incorrectly rejecting a true
null hypothesis
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Type
II
error
Incorrectly accepting a
false null
hypothesis
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Significance Level
Threshold for
rejecting
null hypothesis, e.g.,
0.05
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Spearman's
Rank Order
Correlation
Coefficient
Measures strength of
monotonic
relationship between variables
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Critical Value Tables
Reference for determining
significance
in statistical tests
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Chi-Square
Test
Compares
observed
and expected frequencies in
nominal
data
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Degrees of Freedom
Number of
independent
values in a
calculation
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Contingency Table
Table to display
frequencies
of
variables
for analysis
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Mann Whitney
U Test
Determines
differences
between two
independent
groups
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Wilcoxon Matched Pairs Signed Ranks Test
Evaluates
differences
between
two
related groups
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Parametric Tests
Statistical tests assuming
normal
distribution and equal
variances
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Stratified
Sample
Sample divided into
subgroups
for representation
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Dependent Variable
Variable influenced by
independent
variable changes
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Extraneous
Variable
Uncontrolled
variable that may affect study
outcomes
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Mean
Average
value of a set of
numbers
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Standard Deviation
Measure of data
dispersion
around the
mean
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