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PSYC 100, Week 1 Notes

by: Madilynne Harbauer

PSYC 100, Week 1 Notes PSYC 100

Madilynne Harbauer


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About this Document

These notes cover the basics of the class and information on research method
Introduction to Psychology
Dr. Kimberly Vanderbilt
Class Notes
PSYC, LectureNotes, hpp, Researchmethods
25 ?




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This 2 page Class Notes was uploaded by Madilynne Harbauer on Wednesday September 21, 2016. The Class Notes belongs to PSYC 100 at California State University - San Marcos taught by Dr. Kimberly Vanderbilt in Fall 2016. Since its upload, it has received 5 views. For similar materials see Introduction to Psychology in Psychology (PSYC) at California State University - San Marcos.

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Date Created: 09/21/16
8/31/16 Psyc Notes Announcements: - Attendance oon Friday is required. For everyone - Look at the syllabus & HPP instructions for quiz Friday - For HPP: • Sign up under your SECTION class - 11A, 12A, 13A…21A • Deadline to sign up is Sept. 26 Chapter 2: Research Methods: - Research Methods • Science & pseudoscience • Research terminology What is Science? • First administration: values versus facts - Values = personal opinions, positions, beliefs • Subjective (can’t be proved right or wrong) - Only you can decide what values are good or bad • Objective (CAN be proved right or wrong) - Can’t argue with facts - Science is an approach to learning • Learning only true things the best we can - Goals of Science 1. describe 2. predict 3. Determine cause - Properties of science 1. Empiricism: testable, observable 2. Critical thinking: skepticism (careful consideration of information) - Always things that you should question, not everything is true Basic Principles of Science: 1. Extraordinary claims need extraordinary evidence 2. Falsifiability: (Statement has to be proven true or false if it is scientific) 3. Occam’s razor: the simplest solutions are usually the best (usually correct) because it requires the fewest changes to things we already know 4. Replicability - We like it when we find the same results over and over - When there’s a new discovery, more people try it out to be sure that the result is correct - For example: listening to Mozart in fetus makes babies smarter was only found once, and never again 5. Rule out rival hypothesis - Usually more than one possible explorations, so need to keep testing until it is ruled out 6. Correlation does not equal causation • Just because they are related doesn't mean something causes the other • For example: More violent TV in youth ia unrelated to violence when older… However that doesn't mean TV CAUSES violent. What is pseudoscience? - Pseudoscience = a claim that sounds scientific but isn't Pseudoscience warning signs: 1. Overuse of loopholes/excuses to avoid falsification 2. Lack of self-correlation - Conflicting views help science - Science needs to listen to other views 3. Exaggerated claims - Is there enough evidence to support this? - If it sounds “too good to be true” 4. Over reliance on anecdotes - There are other facts - Not just happening for one person 5. Evasion of peer review - Need to be good science that is checked over 6.Absence of connectivity - Some believe human and dinosaurs lived at the same time, but there is proof that they couldn't have 7. Psychobabble - Claims that sound science-y, but have no scientific research or evidence - I.E.: “The Q2 Energy spa was created to realign, balance, and enhance the bio energetic levels in water that is then used by the cells go all living things.” • None of that makes any sense Science and Psuedoscience: - Why is the scientific method important? • Because it helps us to tell the difference between science and pseudoscience • It produces facts which can be trusted as true to the best of our knowledge Research terminology: - Two kinds of research in Psychology: • Basic research: answers fundamental questions about behavior Applied research: answers questions relating research to everyday life • - Hypothesis: specific and falsifiable prediction - Variable: any attribute which can vary (have 2+ levels) • Conceptual variables: the thing you want to measure • Measured variables: variable that represents the conceptual variable - Operational definition: the way a conceptual variable is turned into a measured variable


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