Understand concepts from lectures, textbook readings, and assignments; apply them effectively.
Simply re-reading notes/textbook is insufficient.
Emphasize practice retrieval:
Draw concept maps from memory to visualize connections.
Create your own examples of concepts to solidify understanding.
Engage with practice questions from lecture slides, Wooclap, and textbook.
Make flashcards for key concepts and quiz yourself.
Develop test questions to deepen comprehension (consider swapping with classmates).
Identify frequency, association, and causal claims.
Methods for behavior description:
Self-reports.
Observational studies.
Case studies.
Archival data.
Types of self-report questions and threats to construct validity in surveys.
Learn how to develop surveys.
Evaluate reliability and validity of surveys.
Know when to use interviews vs. self-reports:
Types of interviews available.
Types and their pros/cons.
Threats to construct validity in observational studies.
Preventing observer bias and effects.
Avoiding behavioral reactivity.
Evaluating reliability of observational measures.
Understand random vs. nonrandom sampling methods and challenges.
Identifying bivariate correlational designs.
Recognize predictors vs. outcomes:
Evaluate the construct and external validity of correlational studies.
Know continuous vs. categorical variables.
Appropriate statistical approaches for correlational studies.
Criteria for establishing internal validity and causation.
Probability Sampling Techniques:
Simple random sample.
Stratified random sample.
Systematic sample.
Non-probability sampling techniques lead to biases:
Purposive, cluster, multistage, quota, and snowball sampling.
Probability sampling ensures random selection, producing representative samples.
Remember: Correlation does NOT imply causation!
To establish causation between variable A and B:
Covariance: Confirm they are correlated.
Temporal precedence: Determine which variable occurred first.
Internal validity: Examine the influence of any third variables that could misrepresent the relationship.
Evaluate the strength of the relationship:
Precision of the estimate.
Replication of results.
Consider external factors affecting correlation.
Outliers.
Sample size.
Curvilinearity.
Restriction of range.
Reliability issues.
Shared method variance.
Example claims:
Lower academic performance in online classes vs. in-person classes (Causal claim).
Socially anxious individuals avoid daily social interactions (Association claim).
Politicians exhibit higher narcissism (Association claim).
Permissive parenting influences self-discipline (Causal claim).
A professor studies test performance between in-person and online classes:
Claim being tested: Causal claim.
Type of variable (test performance): Dependent variable.
Scale of measurement: Ratio.
Measurement type: Observational.
Sampling method: Simple random sampling.
Statistical test type: T-test.
Researcher investigates Gottman’s “Four Horsemen”:
Claim type: Frequency claim.
Study type: Structured observation.
Behavior scale: Nominal.
Research on avoidant attachment and trust:
Identify statistical test: Correlation.
Results indicate a strong negative relationship between avoidant attachment and trust.
Temporal precedence not established: internal validity issues prevent causal implications.
Bring a pencil, eraser, and Carleton ID.
Arrive on time (by 1:00 pm).
Pack away all materials and turn off electronic devices.
Follow instructions for test submission carefully (name, student number, and version number on Scantron).
Engage with Wooclap for additional participation and understanding.