Exam 15: The General Linear Model and Making Sense of Advanced Statistical Procedures in Research Articles

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In the general linear model,errors in predictions are caused by

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B

A social psychologist has found 20 different variables that seem to affect willingness to take risks and wants to simplify these results by grouping them.The appropriate procedure is

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C

A variable partialed out in an ANCOVA is called a(n)__________.

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covariate

A factor loading is the correlation of a factor with a(n)__________.

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The difference between MANCOVA and MANOVA is that

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A general formula whose underlying logic connects t tests,analysis of variance,correlation,and multiple regression is the

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In a multilevel model,Level-2 variables reflect __________.

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The general linear model is based on a __________ criterion.

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A procedure for finding the correlation between two variables,over and above the influence of one or more other variables,is __________.

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A social psychologist who correlates the responses of half of the items on a questionnaire with the other half to check the accuracy of the measure is assessing

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An advanced type of regression analysis that handles research situations in which people are grouped in some way that could affect the pattern of scores is __________.

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If the results of a study are presented as a diagram with arrows connecting variables,the analysis is

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In the formula Y = a + (b1)(X1)+ (b2)(X2)+ e,the term "b1" refers to

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An exploratory statistical procedure used to identify groupings of variables correlating maximally with each other and minimally with variables in the other groupings is __________.

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ANOVA is to MANOVA as ANCOVA is to __________.(Spell out,do not use the abbreviated term.)

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The association of a variable to a factor is called the variable's

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The degree of association between two variables,over and above the influence of one or more other variables,is

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Of the four major statistical procedures discussed in this book,the most general technique is __________.

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In a MANOVA,__________ is the statistic computed when hypothesis testing.

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A covariate is best described as

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