Chapter 13 Flashcards

(25 cards)

1
Q

HSD analysis of variance

A

The parametric procedure for determining whether significant differences exist in an experiment containing two or more sample means; abbreviated ANOVA

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2
Q

ANOVA

A

Abbreviation of analysis of variance

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3
Q

between-subjects ANOVA

A

The type of ANOVA that is performed when a study involves between-subjects factors

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4
Q

between-subjects factor

A

An independent variable that is studied using independent samples in all conditions

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5
Q

error variance

A

The inherent variability within a population, estimated in ANOVA by the mean square within groups

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6
Q

eta squared

A

The proportion of variance in the dependent variable that is accounted for by changing the levels of a factor, and thus a measurement of effect size

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7
Q

experiment-wise error rate

A

The probability of making a Type I error when comparing all means in an experiment

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8
Q

factor

A

In ANOVA, an independent variable

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9
Q

F-distribution

A

The sampling distribution of all possible values of F that occur when the null hypothesis is true and all conditions represent on population

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10
Q

Fisher’s protected t-test

A

The post hoc procedure performed with ANOVA to compare means from a factor in which all levels do not have equal ns

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11
Q

F-ratio

A

In ANOVA, the ration of the mean square between groups to the mean square within groups

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12
Q

level

A

In ANOVA, each condition of the factor (independent variable)

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13
Q

mean square between groups

A

In ANOVA, the variability in scores that occurs between the levels in a factor or the cells in an interaction

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14
Q

mean square within groups

A

In ANOVA, the variability in scores that occurs in the conditions, or cells

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15
Q

multivariate statistics

A

Procedures applied to a study that measures two or more dependent variables

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16
Q

one-way ANOVA

A

The analysis of variance performed when an experiment has only one independent variable

17
Q

post hoc comparisons

A

In ANOVA, statistical procedures used to compare all possible pairs of sample means in a significant effect, to determine which means differ significantly from each other

18
Q

sum of squares

A

The sum of the squared deviations of a set of scores around the mean of those scores

19
Q

treatment

A

The conditions of the independent variable

20
Q

treatment effect

A

The result of changing the conditions of an independent variable so that different populations of scores having different p s are produced

21
Q

treatment variance

A

In ANOVA, the variability between scores from different populations that would be created by the different levels of a factor

22
Q

Tukey’s HSD multiple comparisons test

A

The post hoc procedure performed with ANOVA to compare means from a factor in which all levels have equal n

23
Q

univariate statistics

A

Procedures applied to a study that measures only one dependent variable

24
Q

within-subjects ANOVA

A

In ANOVA, the variability in scores that occurs in the conditions or cells

25
within-subjects factor
The type of factor created when an independent variable is studied using related samples in all conditions because participants are either matched or repeatedly measured