Research Methods, week 5 notes
Research Methods, week 5 notes Psych 305
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This 2 page Class Notes was uploaded by Clarissa Hinshaw on Sunday February 21, 2016. The Class Notes belongs to Psych 305 at Northern Illinois University taught by Keith Millis in Winter 2016. Since its upload, it has received 12 views. For similar materials see Research Methods in Psychlogy at Northern Illinois University.
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Date Created: 02/21/16
Chapter 5 Measurement Concepts Reliability: the stability of a behavioral measure. Should gain similar results with different trials. Components of reliability measure o True score: real score of a variable o Measurement of error: possible area of measure, which could be off. Using unreliable measures is a waste of time because the data will be too inaccurate to interpret. We can’t directly measure the components of an actual score, but we can measure its accuracy using correlation coefficients. TestRetest reliability: testing a variable twice and comparing scores. Internal consistency reliability: o Splithalf reliability: splitting both correlation scores in half. o Cronbach’s alpha: combining each item on a test to form a correlation. Interrater reliability: how much raters agree on observations. Construct validity is important for reliability measures and includes face, content, predictive, concurrent, convergent, and discriminant validity. Detailed research is often done in psychology areas of personality and individual differences. This often includes intelligence, selfesteem, extraversion, and depression. These tests often measure abilities, attributes, and potential. It is easier to use existing data in research because you have something to compare your results to. Reactivity: if a person is aware they are being measured, their behavior will be altered. Different from how they would behave in a natural setting. Variables must be operationally defined. Types of measurement: o Nominal: non numeric, also called categorical. Ex: gender o Ordinal: ranking. Ex: restaurant or movie ratings o Interval: literal measure scores. Ex: intelligence, temperature o Ratio: comparison above 0. 0 means variable doesn’t exist. Ex: weight, age. People can draw conclusions from these by analyzing what scale was used.
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