Path analysis is a technique for mapping causal relationships among variables.
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True
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Correlation coefficients indicate what the value of one variable will be given the value of another related variable.
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False
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What does linear regression do?
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It predicts the value of one variable, given a value for a related variable.
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Type II error is deciding wrongly that you have no significant result when ______.
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The null hypothesis is false in the wider population
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To examine how group membership as a variable interacts with two or more variables we need ______.
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MANOVA
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To compare how three or more groups score on one variable requires which one of the following tests?
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One-way ANOVA
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The conventional social science level of significance of 0.05 (95%) is an arbitrary one.
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True
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The larger the sample size, the less confidence we can have that the sample statistics reflect population parameters.
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False
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To predict the value of one variable using two or more predictor variables, we use ______.
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Multiple regression
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To predict the value of one variable using one other variable, we use ______.
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Regression
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Replication advocates argue that “been there; done that” research is necessary to address the problem of false positives.
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True
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What is the significance of correlation?
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It does not indicate whether the relationship between two variables is causal.
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Significance is a matter of disciplinary judgment.
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True
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To calculate the probability that a sample has captured the characteristics of a population, we first assume that there is a normal distribution of values in the population.
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True
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Partial correlation and part correlation allow researchers to examine the interaction between a predictor variable and an outcome variable while controlling for ______.
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The effects of other variables
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Deciding wrongly that there was no significant result when in fact there was is known as _____
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Type II error
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Deciding wrongly that there was a significant result when in fact there was not is known as _____.
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Type I error
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The use of more than one variable to predict the values for another variable is called ______ regression.
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Multiple
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A relationship between two variables that, if plotted out, will show a ____rather than a straight line called curvilinear relationship.
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Curve
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The variable whose value is predicted by the value of predictor variables in a regression analysis are called predictor values.
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True
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The variable whose value is predicted by the value of predictor variables in a regression analysis are called _____ variables.
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Criterion
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The variable whose value is predicted by the value of ______ variables in a regression analysis is called outcome.
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Predictor
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Linear regression assumes that the relationship between variables is____
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Linear
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A statistical method for estimating the strength of relationships among variables is called _____.
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Regression
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Expression of the strength of the relationship between two variables; it ranges between _____and _____ in value. Is known as correlation coefficient.
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-0.1 to +0.1
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A statistical procedure for measuring the strength of association between two or more variables is called _____.
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Correlation
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The procedure is used when there are multiple dependent variables is called
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MANOVA
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______denotes an analysis of variance value.
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F-value
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ANOVA is written as
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Analysis of variance
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Test used when both groups consist of the same people, for example a pretest/posttest comparison.
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True
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A test of the proposition that there will be a difference between two groups but that this difference could be in either direction.
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Two tailed
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A test of the proposition that any difference between two groups will be in one direction is called ______.
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One tailed
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Test used when two different groups are being compared is T-test for independent samples.
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True
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The probability that a computed statistic such as a t test or correlation is not due to chance is called _____.
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Statistical significance
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A statistical test for assessing whether the mean scores for two groups are significantly different is called
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T-test
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A statistical test for determining whether two groups differ significantly in their distribution of scores on the same variable is called
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Chi-square
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A statistical test for determining whether two groups differ significantly in their distribution of scores on the same variable is called
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Chi-square
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Statistics used with data that cannot be assumed to have a normal distribution is called
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Nonparametric statistics
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Statistics used with data assumed to have a normal distribution are called_____.
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Parametric statistics
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The distribution of values in a sample is called sampling distribution.
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True
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A range of values estimated from a sample, within which a value for a population is estimated to fall is called
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Law of large numbers
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The proposition that the distribution of the average or sum of a large number of samples of a variable will be approximately normal, regardless of the underlying distribution is defined as _____.
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Central Limit Theorem
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Curve resulting from the plot of values with a normal distribution is called a normal curve.
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True
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Normal curve is also called _____
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Bell
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Statistics that estimate the values for a population from a sample of that population is _____.
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Inferential
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A distribution of values that is peaked or high relative to the normal curve.
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Leptokurtic
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A distribution of values that is flat or low relative to the normal curve is known as _____.
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Platykurtic
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Skew is the “tail” of a distribution.
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True
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Symmetrical distribution of values with the majority of scores “peaking” in the middle is called _____.
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Normal distribution
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In general terms, importance or relevance is called ______.
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Significance
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