Learning Objectives Overview1 Learning Objectives for Lecture 1: Lecture 1 (September 6, 2023) · No learning objectives Lecture 2 (September 8, 2023) · Differentiate between data- vs. non-data-driven ways of knowing · Generate examples illustrating the limits of on non-data drive ways of knowing · Understand the fundamental tenets of science . Explain how the scientific method relates to critical thinking Lecture 3 (September 11, 2023) · Understand the fundamental tenets of science · Explain, differentiate between, and generate examples for various forms of logical reasoning · Properly interpret relations between data and hypotheses . Explain how the scientific method relates to critical thinking Lecture 4 (September 13, 2023) · Create an example of a falsifiable hypothesis and explain why it is falsifiable · Explain the principle of parsimony · Distinguish between more and less parsimonious theories · Differentiate between essentialism and operationism · Discuss how operational definitions are used to progress psychological science. · Critically evaluate conclusions drawn from an example research study Lecture 5 (September 15, 2023) . Explain what can and cannot be concluded from a correlational design . List and describe the two ways internal validity is attained in an independent groups design . Identify a confounding variable and explain how it threatens internal validity Lecture 6 (September 18, 2023) . Explain what can and cannot be concluded from a correlational design · List and describe the two ways internal validity is attained in an independent groups design · Identify a confounding variable and explain how it threatens internal validity 1 Note that this breakdown is approximate, and depends on the pace of class. Dates may shift as a result
Lecture 7 (September 20, 2023) · List and describe the two ways internal validity is attained in an independent groups design · Understand the function of random assignment . Describe specific ways that control is achieved in experiments · Explain what experimenter expectancy effects and demand characteristics are and some ways a researcher can avoid them · Differentiate between ceiling and floor effects. . Explain what is meant by the strength of an IV and the sensitivity of a DV, and how they impact research design Lecture 8 (September 22, 2023) · Explain what experimenter expectancy effects and demand characteristics are and some ways a researcher can avoid them · Differentiate between ceiling and floor effects. . Explain what is meant by the strength of an IV and the sensitivity of a DV, and how they impact research design Lecture 9 (September 25, 2023) . Discuss different types of IVs and DVs commonly used in research . Create different types of DVs to evaluate a claim · Understand the different types of between- and within-subjects designs · Understand the advantages and disadvantages associated with within-subjects designs · Manage disadvantages of within-subjects designs . Describe the relationship between strength of IV/sensitivity of DV and experimental designs Lecture 10 (September 27, 2023) · Understand the advantages and disadvantages associated with within-subjects designs · Manage disadvantages of within-subjects designs