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What is the methods section for?
the “how” of a specific study
why is a methods section important
Important so readers can judge whether the method used was appropriate to test the hypothesis in question + replication
errors of commission
including too much detail
errors of omission
including not enough detail
participants part of methods section
Participants
Who are they
Where did this experiment take place
Why did they participate? Compensation?
design part of methods section
Type of experiment
independent variable: what did we manipulate (construct, operational definition)
dependent variable: what did we measure (construct, operational definition)
materials + apparatus part of methods section
What did experiments do before study
Controls employed for stopping EVs from becoming confounds
Organization of materials
Essential for replication
procedure part of methods section
What happened in this study in chronological order
What did the experimenters do during the study
Paraphrasing of instructions given to participants
what not to include in methods section
Review of the literature
Results of study
Interpretation of the results
Limitations of the study
Future directions
Broader impacts/implications
Differentiate between correlational and simple experimental designs.
Correlational design studies the relationship between variables as they naturally occur. No variables are controlled or manipulated. It shows associations between variables, not causation. Meanwhile, experimental design is when researchers manipulate an independent variable and measure its effect on a dependent variable while controlling other factors. This can show cause and effect.
Distinguish the differences in the underlying construct and the operational definition of that described construct.
Construct is the theoretical idea being studied (abstract concept), like aggression, stress, happiness, etc. Operational definition is the exact way the construct is measured or manipulated in a study. For instance, stress = score on a stress survey OR cortisol levels.
Explain the difference between an extraneous variable whose effects have been controlled and a confounding variable.
Extraneous variables are all unwanted factors that might influence the dependent variable, whereas confounding variables are uncontrolled extraneous variables that have systematically changed alongside the independent variable, invalidating results
Pros for Within-Subjects
Controls for individual differences because each person is their own control (each person is compared to themselves)
Easier to detect differences across levels of the IV
Fewer participants
Cost effectiveness
Cons for Within-Subjects
Imperative to control for order and sequence effects, but still at risk for carry-over effects
Unique materials needed per condition
More EVs to control
Pros for Between-Subjects
No potential for carry-over effects
Can keep materials constant across conditions, so fewer materials needed
No need to counterbalance for order
Cons for Between-Subjects
Group differences could be because particiaptsn individual differences, not the manipulation
Random assignment could control this concern
More participants needed → higher cost