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| Pertains to groups of Cases |
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| False conclusions made by assuming relationships found through research groups can be attributed to individuals |
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| A measure combining different aspects of the same concept |
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| A measure combining different but related concepts |
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| In what situations would you construct a multiplicative index? |
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Definition
| Standardized Measures: Organizing Data, making it relevant, anything per certain number of people |
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| The amount of risk you're willing to take that you will reject your null hypothesis |
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| Rejection of your original hypothesis |
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| When you reject your null hypothesis and it's really true |
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| When you accept a false null hypothesis |
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| Significance v. Meaningfulness |
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| Whether or not the data is applicable. |
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| What was expected to happen |
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| Used to tell the significance between two nominal Variables, two ordinal Variables or a Nominal and an Ordinal Variable |
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| Independent Samples T-Test |
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Definition
| Determines if a sample mean agrees with the expected or plain population mean [just tests how unlikely sample results are] |
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Definition
| It is used when you're running a comparison between Nominal/IR or Ordinal/IR |
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| What are the Measures of Association? |
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Definition
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| Nominal-Nominal and Nominal/Ordinal |
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| It measures the reduction error. |
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| Which Statistics have this PRE interpretation? |
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Definition
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| When is the Correlation Coefficient used? |
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| Bivariate Regression: When is it used and what is the formula? |
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Definition
It is a procedure for deriving the equation that relates a single metric dependent variable and a single metric independent variable.
y=a+b(x) |
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Definition
A=Constant B=Regression Coefficient, R Squared Y= Independent Variable X = Will always be a percentage. Change to decimal. |
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| R Squared measures fitness to regression line. |
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| What is the Multiple linear regression equation? |
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Definition
| y=a+b1(x1)+b2(x2)...Bn(Xn) -- B and X will change |
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Term
| What are the 5 sections of any statistical empirical political science article? |
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Definition
| Intro, Lit Review, Research Design, Analysis/Results, Conclusion |
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Term
| Why is the concept of Statistical Significance important in assessing empirical evidence concerning democratic peace? |
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Definition
| Because everything could've been by random chance. Just because it's never happened, doesn't mean it wont ever, therefore without Statistical Significance, the concept is meaningless. |
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Term
| What are the advantages of Using Statistical Methods? |
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Definition
| Allows political scientist to gather information for large number of cases, makes the terms of debate more explicit, entails the standards of evidence, permits the assessments to the claim of chance, casual inferences, testing two explanations against each other with precision |
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Term
| What are the Errors of Specification? |
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Definition
1. Too much calculation without paying attention to theory 2. Theory is often too weak and difficult to test 3. Imposing Statistical models. |
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Term
| What are the Errors of Inference? |
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Definition
1. Blind application of Statistical Significance to judge the importance of a variable 2. Accepting or rejecting a theory by examining one data set to assess whether or not the effect of one variable on another can reliably be distinguished from zero 3. Sin of Commission |
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| What is the Rule of Thumb for R Squared? |
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Definition
Values over .3 or meaningful Values between .2 and .3 are Marginal Values below .2 are not very meaningful |
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Term
| less or equal to 0.05 [t-test, Levenes Test] |
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Definition
| variances of groups are significantly different |
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| Greater than 0.05 [t-test, Levenes Test] |
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Definition
| not significantly different |
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| If Levene Test IS Significant |
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Definition
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| If Levene Test is NOT significant |
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Definition
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Definition
| Persons Name, Sex, address, Phone Number, qualitative categories |
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Definition
| Rank; First, Second, Third |
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| Increments: Degrees, Years |
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