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Psych Week 1

by: Shanna Beyer

Psych Week 1 PSYC 1030

Shanna Beyer
University of Memphis
GPA 3.9
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About this Document

notes from the first week of class
General Psychology
Class Notes




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This 2 page Class Notes was uploaded by Shanna Beyer on Monday February 1, 2016. The Class Notes belongs to PSYC 1030 at University of Memphis taught by Freels in Spring 2016. Since its upload, it has received 47 views. For similar materials see General Psychology in Psychlogy at University of Memphis.

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Date Created: 02/01/16
General Psychology Research Studies - claim without causation - Students who attend class everyday make the best grades. - I have proven that there are no trees with purple leaves - By having people on a high carb diet, I caused them to lose weight Research Methods - 1. scientific method - 2. experimental design - 3. ethical outcome/concerns *Scientific Method is a model for thinking about a research question that one wishes to answer* - question - define the problem - propose a hypothesis - building a theory - draw conclusions Independant Variable: the variable manipulated by the researcher Dependent Variable: the variable that has outcome measured in relation to the independent e l b a i r a v Internal Validity: how well the researcher has controlled for extraneous variables Extraneous Variables: the variable that the researcher has no control over Operational Definition: defined in a way that we can use it in terms of measurements Threats to Internal Validity - attrition - diffusion - rivalry - bias - history - maturation Confounding Variable: a variable outside of the experimenter’s control that actually affects the results obtained in an experiment 2 groups (at least): 1. control- serves as the baseline 2. experiment- receives intervention * To minimize threats, good research has to be generalized* Selection Bias: the selection of data or individuals that prevent randomization from occurring Sampling Bias: the bias that preludes the study population from properly representing that population at large *Is said to occur at any time when there was not an equal opportunity for every member of the population to participate* Self-Selection: the participants can enroll themselves Time-Interval Bias: when a study is not allowed to run through completion *Sometimes unavoidable…ethics play a roll. Researchers sometimes stop studies early for other reasons though they think that have significant results* Exposure: comes into play with clinical research Indication Bias: people at a high risk for a disease are treated for some conditions and it appears that treatment is causing it Clinical Susceptibility: involves treatment for one disease Data Bias: occurs after experimentation is done and can be a huge ethical concern 2 types: 1. specifically picking data that is intended to support your viewpoint 2. researchers discard outliers or make up bad data on arbitrary grounds later on to make the experiment look better Data Attrition: researchers throw out data already collected from individuals who later chose t u o p o r d o t Attrition: people drop out of the study History: events outside of the study that affect the participant to the point that it affects the a t a d e h t f o y t i l i b a i l e r Maturation: events internal within a participation that cause a change to the point that it affects that reliability of the data (ex. natural disaster, fatigue, etc) Instrumentation: any test, survey, system, report, etc used to gather data from individuals (ex. priming, embarrassment)


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