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RM Chapter 3

QuestionAnswer
Measurement of Quantitative data set of rules about which symbols or numbers to assign to a set of events
Nominal Scale basic naming/ Categorizing things, satisfies the property of identity, no numberical qualititve properties, Ex- political party and blood type
Ordinal scale Rank ordering the levels of the variable studied, classified and ordered. Ex- Top 20 country songs
Interval scale rank order and intervals, no absolute zero, classified, ordered distance between points are equal, ex- temperature
Ratio Scale highest level of measurements, classified ordred distance between points are with zero point. Ex- weight height and time
Remeber to selesct the most powerful statistical test that can flow our data analysis ordinal and nomincal require use of less powerful tests
Measurement considerations Range- ceiling floor effects, senstivity, artifacts, experimenter bias, partipant reactivity and partipant demand characteristics, controls- blind
Remember 2 Operational definiton involves making something that abstract more objective and measureable
constusts hypthetical attributes or mechanisms
Operational definition defining the varaible by how it is measured, makes it reliable and replicable, limitations, question needs to be measured
Reliability Consistency in measurememt- ex- agreement between individuals using the same definiton- everyone has to agree- you want to have the replication of a dependent variable
What does a zero correlation mean bad
Validity Wheather you are measuring the variable that you think you are- ex- accuracy
Remember 3 Reliability is a prerequisite for validity, reliability is a necessary but not suffficient condition for validity
ME Fiffrence between actual response aquired and the measured response value measured score= true score + measurement error
Test-Retest Reliability Measuring the same individuals scores at two points in time, learning or testing effect leads to alternate form, correlation coefficient
Positive and negative points means direction of correlation
Correlation coefficient statistic that describes how strongly two variables ar erelated to each other, sign = direction of relationshi, value= magnitude/strength of relationship, closet to postive/negative the stronger, closer to 0 the weaker
Internal consistency Reliability- split hald reliability correlation of an individuals total score on one half of the test with the scpre on te other half of the test
Cronbachs Alpha average of all possible split half reliability estamates
Interrater Reliability or interoserver reliability two observers independently observe and record someones behavior and then the agreement in their observations are caculated, IOR scores 80% higher= acceptable observations,
Validity are you measuring what you think you are
Construct Validiy Measurements of wheater a variable behaves exactly in the same way as the variable itself,
Face Validity does the measure appear to measure what ists suppost to measure, ask experts in that area
Concurrent validity when scores are obtained from a measure and directly related to another better established procedure for measring the same variable, correlation or relationship between measurements outcomes and variables, compare to something that already exists
Predictive Validity when scores are obtained from measure accurately predict future behavior, correlation
Convergent Validity strong relationship between scores obtained from 2 diffrent methods of measuring the same construst, correlation
Divergent Validity when the measure is not related to variables with which it should not be related, coorelation, opposite of covergent, apart diffrences, measurement doesnt agree with other part your testing
Created by: gbills16
 

 



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