Principles of Quantitative Research Flashcards
criteria of hypotheses
linked to the research question/aim
testable and measurable by the proposed study design
logical in relation to current literature
specified prior to data collection
H1
alternate hypothesis
alternate hypothesis (H?)
H1
null hypothesis (H?)
H0
H0
null hypothesis
types of hypothesis (directions)
- Directional (causal)
- Directional (non-causal)
- Non-directional (causal)
- Non-directional (non-causal)
what must there be for a hypothesis to be directional
clear rationale
what type of hypothesis if exploratory or limited knowledge?
non-directional
causal hypotheses only suitable for what design?
experimental
types of statistical analyses
- Correlation (regression)
- ANOVA (repeated, independent, mixed, factorial)
- Logistic regression
- T-tests (independent, related)
- Multiple regression (mediation, moderation)
- ANCOVA
how do we decide which satistical analysis to carry out?
- Continuous or categorical outcome/DV?
- How many predictors? What type (continuous/categorical)
- If categorical predictors, how many categories?
in what stages of research is there bias?
design
implementation
analysis
publication
bias in design stage
○ Order effects
○ Ceiling/floor effect of task (task too easy or too hard so everyone scores too high or everyone scores too low - so how can we see differences)
○ Participants: sampling, selection and individual differences
bias in implementation stage
researcher bias
response bias
bias in analysis stage
○ Confirmatory hypothesis testing/confirmation bias
○ HARKing
○ P hacking