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Repeated Measures for Within Subjects Design

by: Alejandra D. Rocha

Repeated Measures for Within Subjects Design PSYC 4317

Marketplace > University of Texas at El Paso > Psychlogy > PSYC 4317 > Repeated Measures for Within Subjects Design
Alejandra D. Rocha
GPA 3.1
Advanced Statistics
Anthony Blum

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About this Document

This is my week of notes on the topic Repeated Measures Design with examples and How to compute them in SPSS The examples are one factor and factorial designs
Advanced Statistics
Anthony Blum
Class Notes
25 ?




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This 3 page Class Notes was uploaded by Alejandra D. Rocha on Sunday October 18, 2015. The Class Notes belongs to PSYC 4317 at University of Texas at El Paso taught by Anthony Blum in Summer 2015. Since its upload, it has received 22 views. For similar materials see Advanced Statistics in Psychlogy at University of Texas at El Paso.


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Date Created: 10/18/15
Repeated Measures for WithinSubjects Designs Uses the same subjects for all the levels of independent variable Advantages 1 Uses less subjects 2 More powerful statistical test Disadvantages 1 Subjects in study a long time 2 Carry Over effects9 previous treatment is affecting performance on a subsequent treatment confound variable eg fatigue practice effects Solutions to carry over9Counterbalancing present all possible orderings of treatment Each treatment level occurs equally often in each position Each treatment precedes and follows every other treatment on equal number EXAMPLE OF REPEATED MEASURES DESIGN Subjects rats Dependent variable speed in seconds to end a maze Independent variable Color of the maze Levels White red and blue Null Hypothesis Ho u redj1 Whitej1 blue Maze color scores White red blue Subject 1 25 45 21 Subject 2 19 40 17 Subject 3 21 39 19 Subject 4 23 40 24 Subject 5 20 49 20 Subject 6 18 35 17 Subject 7 12 33 14 Subject 8 11 29 13 Subject 9 27 55 22 Subject 10 24 61 25 Subject 11 20 41 22 Subject 12 17 24 14 How to compute Repeated Measures in SPSS Go to analyze General Linear Model Repeated Measures Factor Color Number of Levels 3 9 add and define variables color within subjects Variables In main test box look at test within subjects effects in color F 136583 Small sig Decision reject null hypothesis Repeated Measures Factorial Design Subjects Ducks Dpt vbl Swimming speed lndpt vbls Factor 1 Liquid type Levels of factor 1 water olive oil duck sauce Factor 2 Light source Levels of factor 2 strobe sunlight and infrared Hypothesis Ho 1 strobe u sunlight u infrared Ho 1 water 1 oil 1 ds Ho there is no light type X liquid type interaction Liquid Type Water Olive oil duck sauce Subject 1 15 11 29 Subject 2 11 1 27 Strobe Subject 3 12 12 28 Subject 4 14 12 29 Subject 5 11 14 25 Subject 6 10 10 25 Subject 1 29 22 11 Sunlight Subject 2 2 29 14 Subject 3 22 24 11 Subject 4 24 30 10 Subject 5 27 31 9 Subject 6 28 23 9 Subject 1 11 14 11 Subject 2 10 13 9 Infrared Subject 3 9 11 9 Subject 4 10 14 11 Subject 5 11 14 10 Subject 6 12 13 13 How to Compute Repeated Factorial Designs on SPSS 9 rows of data One for every subject with the scores of every levels Go to analyze General Linear Model Repeated Measures Enter the factor name and how many and add Be careful when entering the data Water is going to have 1 Oil 2 and D5 3 Strobel 1 sunlight 2 infrared 3 Variable 111 Variable 4 12 etc etc Click ok and look at first row F and sig for every variable And reject or accept Ho for liquid Ho for light source and Ho for interaction


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