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Ch. 15 Quantitative Analysis: Inferential Statistics - Coggle Diagram
Ch. 15 Quantitative Analysis: Inferential Statistics
Inferential statistics
are the statistical procedures that are used to reach conclusions about associations between variables.
Basic Concepts
P-Value
the significant level and the desired relationship between the p-value and significant level
Significance level
the maximum level of risk that we are willing to accept as the price of our inference from the sample to the population
Sampling distribution
is the theoretical distribution of an infinite number of samples from the population of interest in your study.
Standard error
never identical to the population every sample always have some inherent level of error
Confidence interval
- the precision of a sample estimates
General Linear model
- most inferential statistical procedures in social science research are derived from a general family of statistical models
A system of equations that can be used to represent linear patterns of relationships in observed data
Regression analysis
a line that describes the relationship between two or more variables is called a regression line, the beta values are called the regression coefficients and the process of estimating regression coefficients
A very powerful statistcal tool beause it is not one single statistical method but rather a family of methods that can be used to conduct analysis with different types
Two-Group Comparison
Comparing the post-test outcomes of treatment and control group subjects in a randomized pos-test only control group design.
The t-test examines whether the means of two groups are statistically different from each other or whether one group has a statistically larger mean than the other.
Factorial Designs
Special curriculum relative to traditional curriculum depends on the amount of instructional time. Two factors being curriculum type and instructional type.
Other Quantitative Analysis
Factor Analysis
Discriminate Analysis
Logistic Regression
Probit Regression
Path Analysis
Time Series Analysis