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19 Cards in this Set
- Front
- Back
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When is an F ratio significant?
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when it is above 2.0
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Is an F ratio of 1.0 significant?
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No, it has to be about 2.0
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Which post-hoc tests offer best protection from Type I errors?
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Scheffe & Tukey
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What is a problem of using Scheffe or Tukey?
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They increase the chance of a Type II error
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What post-hoc offers least protection of Type I error but best for Type II?
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Fisher LSD
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What are mid-range for protection from committing Type I or Type II errors?
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Duncan, Dunette, and Neuman-Kuels
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Why use a MANOVA instead of multiple ANOVAs?
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Protect against Type I error
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When do you use a Trend Analysis?
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As a followup to an ANOVA when you are looking for patterns or trends in the data (nonlinear)
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What is LISREL
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LISREL, a structural equation (causal) modeling technique, is used to test causal hypotheses about relationships among measured variables and the latent traits those variables are believed to measure.
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What does Path Analysis do?
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predicts the causal relationships among measured attributes only, no latent traits involved (that's LISREL)
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What is the least squares criterion?
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The least squares criterion is used to locate the regression line in a scatterplot so that the amount of error in prediction is minimized when using the regression line or its equation to predict criterion scores
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When is the Pearson r used?
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The Pearson r is the appropriate correlation coefficient when both variables are continuous (measured on an interval or ratio scale).
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When is the Spearman rho used?
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When both variables are measured in terms of ranks.
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When is the point-biserial correlation used?
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The point-biserial correlation coefficient is appropriate when one variable is a true dichotomy (e.g., gender) and the other is measured on an interval or ratio scale (e.g., reaction time measured on a ratio scale).
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When is the phi coefficient used?
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The phi coefficient is appropriate when both variables are true dichotomies (e.g., undergraduate degree/no undergraduate degree and employed/unemployed).
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When is a discriminant analysis used?
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A discriminant analysis (also known as discriminant function analysis) involves using scores on two or more predictors to predict an individual's membership in a criterion group – i.e., it is used when the criterion is measured on a nominal scale.
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A linear structural relations analysis (LISREL) is useful for
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testing the veracity of a causal model for the relationships among a set of observed and latent variables
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Stepwise multiple regression is useful when:
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you want to identify the fewest number of predictors needed to account for variability in the criterion
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When the target behavior occurs very infrequently or leaves a permanent record, the best technique is:
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event sampling
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