Module 4 Flashcards
Read chapter to clarify concepts in this because its going to be on exam
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Statistical Techniques
Analysis procedures to examine, reduce and give meaning to numerical data gathered in a study.
Descriptive statistics
Summary statistics that allow researcher to organize date in ways that give meaningful and facilitate insight.
Inferential statistics
Addresses objectives, questions and hypothesis in studies to allow inference from the study sample to the target population (identify relationships, examine predictions and determine group differences)
Elements of the Statistical Analysis Process include
- Management of missing data
- Description of the sample
- Reliability and validity of measurement methods
- Statistical analyses
Level of Statistical Significance
Probability level at which the results of the statistical analysis are judged to indicate a statistically significant difference between groups
P-Value (Probability Value)
- Usually set at 0.05 (5%) or 0.01 (1%)
- These are arbitrary numbers - are greed-upon values that indicates the likelihood the result is NOT due to chance.
Layman terms: P-Value
You want to ensure your statistical results are not due to chance alone
Lower p-value
Less likely the results are due to chance and are more likely an indication of reality
High p-value
More likely the results are due to chance and are not a true indication of reality
If the p-value of the result is LESS than 0.05
It is considered statistically significant
This means the researcher can confidently assume that the results are not due to chance alone
Frequency distributions
Describes the occurrence of scores or categories in a study
Measures of central tendency
Frequently referred to as midpoint in the data or as an average of the date.
Most concise statement of the nature of the date in a study.
What are the three common measures of central tendency?
Mean, Median and Mode
Mode
Numerical value/score that occurs with greatest frequency