Theory vs. Hypothesis
Theory: Offers explanations for phenomena.
Hypothesis: A specific framed statement predicting an outcome.
Sample vs. Population
Population: The entire group to draw conclusions about.
Sample: The specific subset collected data from.
Applied Research vs. Basic Research
Basic Research: Focuses on finding causal explanations.
Applied Research: Uses findings to modify behavior or phenomena.
Researchers start by asking questions to develop their research projects.
OCAM's Razor: Refers to parsimony; favor simpler explanations.
Comprehensiveness: Refers to inclusivity and productivity of the theory.
Falsification: The hypothesis must be predictable and testable.
Double Blind: Both participants and researchers are unaware of group assignments to prevent bias.
Participant Bias: Participants may tailor their responses to what they think researchers want to hear.
Random Assignment: Important for controlling participant bias and ensuring validity.
Within Participant Subject Design: Uses the same participants across all conditions, providing repeated measures.
Laboratory Research: Offers the most control over variables.
Field Research: Provides the highest mundane realism but typically lower control.
External Validity: Laboratory experiments often have poor external validity due to artificial settings.
Quantitative Research: Focused on measuring and testing hypotheses through numerical data.
Replication: Involves duplicating studies to verify consistency of results.
Experimental Realism: Ensured by having participants fully invested in the experiment.
Pilot Study: A quick test conducted to evaluate the feasibility and structure of the study.
Programs of Study: Long-term experimental series aiming for multiple publications.
Random Assignment: Best for ensuring equality among groups in experimental designs.
Matched or Yoked Samples: Used to compare two groups while controlling for specific characteristics.
Validity: Measurement outcome consistency.
Reliability: The degree to which an assessment tool produces stable and consistent results.
One Sample Z Test: First statistical question in the exam.
One Sample T Test: Second statistical question.
Related Samples T Test: Third statistical question.
Manipulation Checks: Employed to assess internal reliability for surveys.