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Psych 1100 Week 2

by: Yessenia Figueroa

Psych 1100 Week 2 psych 1100

Yessenia Figueroa

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About this Document

These are Tuesday's notes for Week 2, mostly vocabulary and some important terms
Introduction to Psychology
Andre Plate
Class Notes
Intro to Psychology
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This 4 page Class Notes was uploaded by Yessenia Figueroa on Thursday September 1, 2016. The Class Notes belongs to psych 1100 at Ohio State University taught by Andre Plate in Fall 2016. Since its upload, it has received 3 views. For similar materials see Introduction to Psychology in Psychology at Ohio State University.


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Date Created: 09/01/16
Tuesday     Vocabulary:    Experiment - a research method to test hypothesis    Independent variable - variable manipulated and controlled by  researcher    Dependent variable - a measure used to assess the effects of  manipulating the independent variable    Control group - group that experiences all variables except the  independent variable    Experimental group - group exposed to the independent variable    Confounding variable - variables that are irrelevant to the hypothesis  but can alter the conclusions and results    Random assignment ​ each person has equal chance of being assigned  to any group    Operationalization -defining our variable in practical and concrete  terms    Placebo- ​ an inactive substance or treatment that cannot be  distinguished from a real active ingredient    Double-blind procedure - research design that controls for placebo  effects  -participant doesn’t know what they are receiving  -the researcher doesn’t know who is receiving the placebo or active  ingredient    Meta-analysis - statistical analysis of many previous experiments on the  same topic  -combines studies on the same topic  -analyze results of all the studies  -more powerful way to address research questions    Cross-sectional study ​ a research design that collects data  simultaneously from different ages    Cohort effects - generational effects of being born in different time  frames    Longitudinal study - research design collects data from the same  people  -expensive, time-consuming method  -can have high dropout rates    Mixed longitudinal design - combines cross-sectional and longitudinal  design  -observed for less time    Validity - the quality of a measure that leads to valid conclusions    Reliability​ consistency of a measure (ability to reproduce or  replicate)    Inter-rater reliability - consistency in the interpretation of a measure  across different observers    Inter-method reliability - positive correlation between several  approaches    Internal consistency ​ measures within a single test that correlate with  one another    Descriptive statistics - helps us organize data    Control tendency - statements tend to lie near center    Variance - measures if the data is clustered or spread and by how  much    Standard deviation - measured how tightly clustered a group is around  the mean    Normal distribution - mathematically defined probability function    Inferential statistics ​ statistical methods that allow researchers to  draw conclusions from samples to larger populations    Null hypothesis - stating the default position is that there is no  difference between two measures    Alternative hypothesis - states that there is a difference between two  measures    Going back to valid measure, we know that:    Reliability does NOT equal validity  -you can obtain a reliable measure that isn’t valid  -you can’t get a valid measure that isn’t reliable                 


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