Statistical Analysis and Results Section Flashcards
Results section should contain
Narrative description of statistical outcomes
Tables and figures that summarize findings
Statements of support of the hypotheses or rejection of the hypotheses
Interval or ratio measurement data may be described in 4 ways:
Central tendency
Variability
Skewness
Kurtosis
Average score of a group
Central tendency
3 measures of central tendency
Mean, median, mode
How much the scores vary from the average
Variability
3 measures of variability
Range, variance, standard deviation
The lack of symmetry of the distribution of scores
Skewness
the general shape of the distribution of scores
Kurtosis
When does normal distribution happen
when the middle scores occur most often and the lower and higher scores do not occur often.
If the data is not normally distributed then….
nonparametric statistical procedures are used
more powerful than nonparametric statistical procedures.
Parametric statistics
4 Parametric statistical procedures:
Normal distribution of the data
Interval or ratio level of measurement
If 2 or more data distributions are analyzed, their variances should be similar
Large sample size
When are Nonparametric statistics used
when one or more of these are not met
Statistical significance testing involves
testing the null hypothesis in the context of the data.
likelihood that one event will occur, given all the possible outcomes
Probability
probability of the findings
P value
p < .05 means
NULL HYPOTHESIS IS REJECTED
p > .05 means
NULL HYPOTHESIS IS NOT REJECTED
can be correlational or inferential
Data analysis
level of significance
.05 or less (p < .05)
evaluate relationships among data
Correlational statistics
often described using correlation coefficients
RELATIONSHIPS W/ IN DATA
A perfect positive relationship between two variables is indicated by
1.0
A perfect negative relationship is indicated by
-1.0
