Psyc 332 1st EditionExam # 1 Study Guide Lectures: 1 - 3Lecture 1 (September 7) Logic: reasoning a priori. “I think therefore I am” – Rene Descartes. Logic can be illogical. Intuition: One of the 4 ways of knowing. For example, opposites attract, or birds of a feather flock together. Authority: Taking someone else’s word for it. Experts say. Sometimes consensus is taken as authority “everyone knows”. Observation: Examples include fracking and drinking water. Observation is the method of science. Observation is valued above all others. Determinism: The world obeys systematic, ordered patterns. Cause and effect relationships that are relatively consistent. Theories: set of ideas of general rules that vary under conditions Hypotheses: specific prediction of outcome given set up of specific conditions Empiricism: Observation is to be trusted over other sources of knowledge. Data talks, the rest walks. Parsimony: The simplest explanation is usually the correct one. As few assumptions as possible. Occam’s razor: “shave off” the fatty theories. Testability: Validation: finding evidence that supports the hypothesis Falsifiability: conduct studies that have potential to disprove the hypothesis Replication: the results can be achieved repeatedly in similar studies Positive Test Bias/Confirmation Bias: Tendency to seek out information that verifies your theory (validation), and not seek information that falsifies your theory (falsification). Not intentional. APA Ethical Principles: Respect for persons/Autonomy Beneficence Justice Trust Integrity Principle 1: Respect for Persons: Do subjects know what they are getting themselves into, and do they know they don’t have to? Informed Consent: Information, Comprehension, Volunteer freely, terminate anytime Principle 2: Beneficence: Do the benefits outweigh the costs? Risks should be reduced to only those necessary When risks high, must be justified Brutal treatment is never justified Vulnerable populations should be protected Principle 3: Justice Selection process is fair Benefits of research to those who participated Use science for good, not evil! Principle 4: Relationship of Trust Confidentiality Subjects to leave in the same psychological state as when they arrived Debriefing Professional Conduct Principle 5: Scientific Integrity For research must have the capacity to foster scientific knowledge Poor science can lead to incorrect conclusions, which may be misleading or damaging to society. Fabrication: Obfuscation, fabrication, falsification, bare assertions Plagiarism: source plagiarism, citation plagiarism, self-plagiarism, ghost-writing, undue authorshipLecture 2 Independent Variable: the theoretical construct that we predict has impact on the thoughts/behaviors on people. Manipulated by experimenter. Cause (or “predictor”) variable. Minimum of 2 levels, usually presence/absence of quality expected to lead to change (e.g new batteries/old batteries) Dependent Variable: the phenomenon that we attempt to influence with our experiments. Measured by experimenter. Effect or observation variable. “Uncontrolled” in the strict sense, free to vary. IV DV (The DV depends on the IV) Operational Definition: the specific meaning of a variable in terms of the actual measures, or “operation”, being used. Looks at specific, narrow, slice of the conceptual variable. Need to create concrete definitions of conceptual/theoretical variables to make testable hypothesis A good operational definition should be able to stand in for other operational definitions of that conceptual variable But operational definition can leave out important aspects of conceptual variable, so should try to replicate with other operational definitions. Conceptual Variable: abstract concepts described as how the experimenter sees or understands them. Manipulation Check: verifies that experimenter has successfully manipulated the independent variable as intended. What to do? Omit these people from study Re-code independent variable levels to match the actual manipulation Maintain as is Moderator: prohibits or inhibits the effect of the IV on the DV Mediator: go between causal step between the DV and the IV Nominal Scale: Categorical variable Have no numerical value. Cannot be compared mathematically E.g gender, nationality Ordinal Scale: Responses are rank ordered But distances between ranks may not be equivalent E.g preferences for schools Internal Scales: Distances between numbers are equal However, there is no real zero point Therefore different values cannot be compared as ratios E.g temperature scale Ratio Scales: Like interval scales, but have a true zero point Values can be compared as ratios E.g weight, distance, time Kinds of Dependent Variables Verbal Measures Scales: multiple items, get at some attitudes Interview: messier, less control. Can be coded for content. Content Analysis Behavioroid Measures Measures of intention to behave some way in the future e.g “I will start writing my paper next week” could be a behavioroid measure of conscientiousness, motivation Unobtrusive Measures Covert and indirect measure Low reactivity by subjects E.g sales of hand sanitizer during swine flu scare Physiological Measures Measures of internal physical states, not directly under subjects control Need to have understanding of what the physiological measures mean Polygraph/Lie Detector: measures heart rate, blood pressure, respiration, galvanic skin response, and is a measure of “arousal” Facial EMG: measures electrical impulses involved in emotional expression e.g anger, disgust,happiness PET Scan: Radioactive glucose injected into bloodstream; metabolic rate observed with CT Scan fMRI: neutrons use up oxygen when firing; blood is diagmagnetic when oxygenated, paramagnetic when deoxygenated Medial Prefrontal Cortex and Self-Cognition: a) Think about their own personality traits, current mental states, and physical attributesb) Viewed the face of an unfamiliar individual and were instructed to ‘‘imagine for a momentthat you are this person, walking through the world in their shoes and seeing the world through their eyes” vs. “what this person might
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