Exam 12: One-Way Repeated Measures Analysis of Variance

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ÓX2 = 704 (ÓX)2 = 8464 ÓTj2 =3178 ÓX = 92 k=3 N = 5 Ósi2 = 1898 Based on the summary values given above,what is the value of the sum of squares IV?

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What are the assumptions underlying the F test for a one-way repeated measures analysis of variance?

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For an alpha level of .05,the critical value of F with 2 and 8 degrees of freedom is 4.46;therefore,we ______the null hypothesis with an F value equal to that found in Question 20 and conclude that _____ between treatments and the dependent variable.

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As with the sum of squares,the degrees of freedom are additive,such that dfTOTAL = dfIV + dfACROSS SUBJECTS + dfERROR.

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The alternative hypothesis in a one-way repeated ANOVA is _____.

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The sum of squares IV is conceptually equivalent to the "sum of squares within groups" in the one-way between-subjects analysis of variance.

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Among the alternatives to the traditional F test when the sphericity assumption is violated,two of the most frequently encountered adjustment factors are the Huyhn-Feldt epsilon and the Greenhouse-Geisser epsilon.

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The _____ assumption states that the variance of the population difference scores for any two conditions is the same as the variance of the population difference scores for any other two conditions.

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In a one-way repeated measures analysis of variance,the sum of squares error reflects the influence of disturbance variables and individual differences.

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One-way repeated measures analysis of variance is an extension of the:

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In a repeated measures design,the components comprising the total variability in the dependent variable include:

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The main function of the sum of squares across subjects is to remove variability due to individual differences from the independent variable so that a more sensitive test of the relationship between the independent and dependent variables can be performed.

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A biopsychologist is interested in studying the effects of marijuana on cognitive skills by studying a group of 7 rats.He puts each rat in a maze and measures the time it takes the rat (in minutes)to find the cheese at the end of the maze.He then puts a mask on the rat and has it inhale marijuana smoke for 5 seconds.He then puts the rat back in the maze,and records its time to reach the cheese.Twenty minutes later he puts the rat back in the maze to test for lasting effects of the drug.The tables below summarize the data and part of the data analysis: A biopsychologist is interested in studying the effects of marijuana on cognitive skills by studying a group of 7 rats.He puts each rat in a maze and measures the time it takes the rat (in minutes)to find the cheese at the end of the maze.He then puts a mask on the rat and has it inhale marijuana smoke for 5 seconds.He then puts the rat back in the maze,and records its time to reach the cheese.Twenty minutes later he puts the rat back in the maze to test for lasting effects of the drug.The tables below summarize the data and part of the data analysis:   What is the eta-squared (h2)for this data? What is the eta-squared (h2)for this data?

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A biopsychologist is interested in studying the effects of marijuana on cognitive skills by studying a group of 7 rats.He puts each rat in a maze and measures the time it takes the rat (in minutes)to find the cheese at the end of the maze.He then puts a mask on the rat and has it inhale marijuana smoke for 5 seconds.He then puts the rat back in the maze,and records its time to reach the cheese.Twenty minutes later he puts the rat back in the maze to test for lasting effects of the drug.The tables below summarize the data and part of the data analysis: A biopsychologist is interested in studying the effects of marijuana on cognitive skills by studying a group of 7 rats.He puts each rat in a maze and measures the time it takes the rat (in minutes)to find the cheese at the end of the maze.He then puts a mask on the rat and has it inhale marijuana smoke for 5 seconds.He then puts the rat back in the maze,and records its time to reach the cheese.Twenty minutes later he puts the rat back in the maze to test for lasting effects of the drug.The tables below summarize the data and part of the data analysis:       What is the MS<sub>IV</sub>? A biopsychologist is interested in studying the effects of marijuana on cognitive skills by studying a group of 7 rats.He puts each rat in a maze and measures the time it takes the rat (in minutes)to find the cheese at the end of the maze.He then puts a mask on the rat and has it inhale marijuana smoke for 5 seconds.He then puts the rat back in the maze,and records its time to reach the cheese.Twenty minutes later he puts the rat back in the maze to test for lasting effects of the drug.The tables below summarize the data and part of the data analysis:       What is the MS<sub>IV</sub>? What is the MSIV?

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ÓX2 = 704 (ÓX)2 = 8464 ÓTj2 =3178 ÓX = 92 k=3 N = 5 Ósi2 = 1898 Based on the summary values given above,what is the value of the sum of squares subjects?

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Unless one is confident on theoretical grounds that sphericity holds,it is probably best to apply the appropriate correction to the degrees of freedom via the _____ procedure.

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In the one-way repeated measures ANOVA summary table,the _____ source reflects variability in the dependent variable that is due to individual differences.The purpose of partitioning this source of variability is to _____.

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A researcher conducts a study on the effectiveness of a physical activity program in motivating people to engage in physical activity on a long term basis.This researcher tests her participants physical activity levels at four time points: pretest,posttest,six month follow-up,and one year follow-up.In this study the independent variable is _____ and the dependent variable is_____.

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In a one-way repeated measures analysis of variance,the total variability in the dependent variable can be partitioned into three components,one reflecting the influence of the independent variable (called the sum of squares IV),one reflecting the influence of individual differences (called the sum of squares across subjects),and one reflecting the influence of disturbance variables other than individual differences (called the sum of squares error).

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Under what circumstances might repeated measures analysis of variance actually be less powerful than between-subjects analysis of variance?

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