Second Test Flashcards
One factor
One Level
Single Sample T-Test
One Factor
Two Levels
Between Subjects
Independent Samples T-Test
One Factor
Two Levels
Within-subjects
Paired Samples T-Test
One Factor
Three + Levels
Between Subjects
Between subjects one way ANOVA
One Factor
Three + Levels
Within Subjects
Repeated Measures One Way ANOVA
Two + Factors
All Between Subjects
Between Subjects Factorial ANOVA
Two + Factors
All Within Subjects
Repeated Measures Factorial ANOVA
Two + Factors
Mixed (Some Between, Some Within)
Mixed Measures Factorial ANOVA
Conditional Hypothesis
Propositional hypotheses that assert a state of being of something or someone else
Relational Hypothesis
Specifies the relationship between two or more variables, as one changes so does the other
Causal Hypothesis
Not only are the variables related, but one or more of them is responsible for causing the other
Evidence for causality
X and Y occur together
X precedes Y
Steps to critically evaluate research
- Why was the research done? What are the researchers trying to test?
- What is the link between the theory (or applied problem) and the research hypotheses? Are the researchers testing what they think they are testing?
- Is the literature review adequate?
Main things a good intro does
Places your research within a larger framework and Offers a clear thesis as well as your response to this thesis
Relationships between Data, Hypothesis and Theory
- Data (dis)confirms hypothesis
- Hypothesis predicts data
- Hypothesis supports/refutes theory
- Theory generates hypothesis