Regression Analysis Module 1

<p>The unique contribution of a specific independent variable to the dependent variable</p> Signup and view all the answers

<p>To ensure an accurate relationship between predictors and outcome</p> Signup and view all the answers

<p>A score that is significantly different from other scores</p> Signup and view all the answers

<p>To detect unusual scores in the data</p> Signup and view all the answers

<p>The relationship between two variables while controlling for other variables</p> Signup and view all the answers

<p>To measure the influence of a data point on the regression slope.</p> Signup and view all the answers

<p>The data point influences the way the outcome of the analysis is interpreted.</p> Signup and view all the answers

<p>A data point has an inconsistent pattern of responses for the predictor variables and the outcome variable.</p> Signup and view all the answers

<p>To measure the correlation between a predictor and outcome variable with variance shared between other predictors controlled in the predictor variable only.</p> Signup and view all the answers

<p>A measure of the distance between a data point and the regression line.</p> Signup and view all the answers

<p>Because Pearson's Correlation does not control for the variance shared between other predictors.</p> Signup and view all the answers

<p>The relative magnitude of effects found among predictors.</p> Signup and view all the answers

<p>Linearity, normality, homogeneity, and independence of observations.</p> Signup and view all the answers

<p>To identify outliers in a dataset.</p> Signup and view all the answers

<p>It increases.</p> Signup and view all the answers

<p>There were high correlations between boredom and other predictor variables in the model.</p> Signup and view all the answers

<p>To determine the causal priority of the predictor variables.</p> Signup and view all the answers

<p>To measure the part of the IV not accounted for by other IVs.</p> Signup and view all the answers

<p>The combination of predictors together explain a significant amount of variance in the outcome variable.</p> Signup and view all the answers

<p>It is when IVs have high correlations with each other, causing statistical errors.</p> Signup and view all the answers

<p>To determine how much each IV adds to the explanation.</p> Signup and view all the answers

<p>To determine the causal priority of the predictor variables.</p> Signup and view all the answers

<p>Hierarchical regression is theory-driven, while statistical regression is data-driven.</p> Signup and view all the answers

<p>To detect multicollinearity problems in the model.</p> Signup and view all the answers

<p>It allows researchers to explain the contribution of different IVs to the DV in a theory-driven way.</p> Signup and view all the answers

<p>It is too conservative and fails to detect significant relationships</p> Signup and view all the answers

<p>To reflect the strength of the relationship between each item and factor</p> Signup and view all the answers

<p>To make the components independent and more interpretable</p> Signup and view all the answers

<p>They are independent and perpendicular to each other</p> Signup and view all the answers

<p>To identify the items that are highly associated with each factor</p> Signup and view all the answers

<p>It rearranges the variance to make the components more interpretable</p> Signup and view all the answers

<p>To test the importance of different constructs</p> Signup and view all the answers

<p>Mediating effect</p> Signup and view all the answers

<p>To estimate the variance explained by each item</p> Signup and view all the answers

<p>The mediator must precede the DV in time</p> Signup and view all the answers

<p>Items with loadings less than 0.4</p> Signup and view all the answers

<p>Longitudinal research</p> Signup and view all the answers

<p>To describe the underlying structure of the data</p> Signup and view all the answers

<p>The components become independent and perpendicular to each other</p> Signup and view all the answers

<p>To test the association between the IV and mediator</p> Signup and view all the answers

<p>Path A and Path B must be significant</p> Signup and view all the answers

<p>Path a * Path b</p> Signup and view all the answers

<p>Spurious effect</p> Signup and view all the answers

<p>To test the association between the mediator and DV, after controlling for the IV</p> Signup and view all the answers

<p>Cross-sectional data</p> Signup and view all the answers

<p>To describe the proportion of variance that might be described by underlying factors</p> Signup and view all the answers

<p>To determine whether there are factors/components in a correlation matrix</p> Signup and view all the answers

<p>To measure the sampling adequacy of each item</p> Signup and view all the answers

<p>To reduce the number of items to a few manageable sets</p> Signup and view all the answers

<p>Factor loadings that are unique and exclude shared variance</p> Signup and view all the answers

<p>To measure the internal consistency of components</p> Signup and view all the answers

<p>PCA explains all the variance, while FA explains shared variance</p> Signup and view all the answers

<p>3</p> Signup and view all the answers

<p>To make the factors more interpretable</p> Signup and view all the answers

<p>To exclude items with correlations &lt; 0.3 with at least one other</p> Signup and view all the answers

<p>An item that loads highly on multiple factors</p> Signup and view all the answers

<p>To make the factors more interpretable</p> Signup and view all the answers

<p>Cronbach α</p> Signup and view all the answers

<p>.7 or greater</p> Signup and view all the answers

<p>Orthogonal rotation assumes independent factors, while oblique rotation assumes correlated factors</p> Signup and view all the answers

<p>There are no factors present</p> Signup and view all the answers

<p>To determine the percentage of variance explained in each item</p> Signup and view all the answers

<p>PCA explains all the variance in the data, while FA explains only the shared variance</p> Signup and view all the answers

<p>To describe the composition of each factor</p> Signup and view all the answers

<p>To evaluate the reliability of a scale</p> Signup and view all the answers

<p>They can be saved and used in other analyses, providing a more comprehensive understanding of the data</p> Signup and view all the answers

<p>To give readers an understanding of the scope of the analysis</p> Signup and view all the answers

<p>PCA analyzes all variance, while FA analyzes shared variance</p> Signup and view all the answers

<p>To extract components that are independent of each other</p> Signup and view all the answers

<p>It extracts components that are easy to interpret</p> Signup and view all the answers

<p>To extract components that are correlated with each other</p> Signup and view all the answers

<p>They provide a more comprehensive understanding of the data</p> Signup and view all the answers

<p>To give readers an understanding of the importance of each component</p> Signup and view all the answers

<p>To test the assumption that the correlations between items are sufficient for factor analysis</p> Signup and view all the answers

<p>Proportion of variance accounted for in one item</p> Signup and view all the answers

<p>A variable that influences the effect of an independent variable on a dependent variable</p> Signup and view all the answers

<p>To control for error and better explain the association between the IV and DV</p> Signup and view all the answers

<p>A mediator is a pathway or chain of events, while a moderator is a conditional or dependent effect</p> Signup and view all the answers

<p>The total variance remains constant</p> Signup and view all the answers

<p>One item's proportion variance</p> Signup and view all the answers

<p>To examine the conditional effect of IV on DV</p> Signup and view all the answers

<p>To reduce error and improve model fit</p> Signup and view all the answers

<p>To measure the indirect effect of IV on DV</p> Signup and view all the answers

<p>A variable being predicted or explained</p> Signup and view all the answers

<p>To keep the total variance constant</p> Signup and view all the answers

<p>Variance explained by a specific IV</p> Signup and view all the answers

<p>To predict a dependent variable using two or more independent variables</p> Signup and view all the answers

<p>Hierarchical Regression Model</p> Signup and view all the answers

<p>To check for multicollinearity</p> Signup and view all the answers

<p>The data point is influential</p> Signup and view all the answers

<p>To calculate the change in variance explained by each IV at each step</p> Signup and view all the answers

<p>The variance of residual is the same for any of IV</p> Signup and view all the answers

<p>To predict a DV using multiple IVs simultaneously</p> Signup and view all the answers

<p>The model is unstable and unreliable</p> Signup and view all the answers

<p>To control for the effect of other IVs on the outcome variable</p> Signup and view all the answers

<p>To check for multicollinearity</p> Signup and view all the answers

<p>To minimize the residual mean square</p> Signup and view all the answers

<p>To examine the influence of a mediator on the relationship between the IV and DV</p> Signup and view all the answers

<p>There are two or more parallel mediators in the model</p> Signup and view all the answers

<p>To obtain the confidence interval for the indirect effect</p> Signup and view all the answers

<p>A moderator is a variable that influences the relationship between the IV and DV, while a mediator is a variable that is influenced by the IV</p> Signup and view all the answers

<p>Path c = Path c' + Path a*b</p> Signup and view all the answers

<p>To test the significance of the indirect effect</p> Signup and view all the answers

<p>The effects of the predictor variables are conditional</p> Signup and view all the answers

<p>To calculate the conditional effect of the moderator variable</p> Signup and view all the answers

<p>The effect of a predictor variable that depends on the value of another predictor variable</p> Signup and view all the answers

<p>To calculate the conditional effect of the moderator variable</p> Signup and view all the answers

<p>To produce a mean of 0</p> Signup and view all the answers

<p>150 participants</p> Signup and view all the answers

<p>To control for extraneous variables</p> Signup and view all the answers

<p>A main effect is the influence of one IV on the DV, while an interaction is the influence of multiple IVs on the DV</p> Signup and view all the answers

<p>To test for an overall experimental effect</p> Signup and view all the answers

<p>A between-subjects design involves different participants in each group, while a within-subjects design involves the same participants in each group</p> Signup and view all the answers

<p>To calculate the ratio of the model to its error</p> Signup and view all the answers

<p>To determine the number of groups and participants</p> Signup and view all the answers

<p>An ordinal interaction can be interpreted, while a disordinal interaction cannot be interpreted</p> Signup and view all the answers

<p>To compare the means of specific groups</p> Signup and view all the answers

<p>To control for extraneous variables and isolate the effect of the independent variable</p> Signup and view all the answers

<p>A moderator affects the relationship between the independent and dependent variables, while a mediator is a variable that is affected by the independent variable and in turn affects the dependent variable</p> Signup and view all the answers

<p>To improve the interpretability of the components</p> Signup and view all the answers

<p>To determine the proportion of variance not explained by the components</p> Signup and view all the answers

<p>The indirect effect of the independent variable on the dependent variable through the mediator must be significant</p> Signup and view all the answers

<p>To examine the change in R-squared when additional independent variables are added to the model</p> Signup and view all the answers

<p>To improve the interpretability of the components</p> Signup and view all the answers

<p>The residuals must be normally distributed and have constant variance</p> Signup and view all the answers

<p>To examine the correlation between the dependent variable and an independent variable while controlling for other independent variables.</p> Signup and view all the answers

<p>The variance of residual is the same for any of the independent variables.</p> Signup and view all the answers

<p>It allows for the examination of the unique contribution of each independent variable to the dependent variable.</p> Signup and view all the answers

<p>To compare the relative importance of each independent variable.</p> Signup and view all the answers

<p>To identify influential data points.</p> Signup and view all the answers

<p>It is based on the size of the correlations.</p> Signup and view all the answers

<p>To identify influential data points.</p> Signup and view all the answers

<p>To identify multivariate outliers.</p> Signup and view all the answers

<p>To check for multicollinearity between independent variables.</p> Signup and view all the answers

<p>To subtract each score from the mean score</p> Signup and view all the answers

<p>150 participants</p> Signup and view all the answers

<p>To test for the overall experimental effect</p> Signup and view all the answers

<p>The effect of one independent variable at a specific level of another independent variable</p> Signup and view all the answers

<p>The interaction between three independent variables</p> Signup and view all the answers

<p>An interaction where the lines are parallel</p> Signup and view all the answers

<p>To compare one factor within each level of another factor</p> Signup and view all the answers

<p>Mean difference divided by the standard error</p> Signup and view all the answers

<p>To determine the number of groups and participants</p> Signup and view all the answers

<p>Between-groups design has different participants in each group, repeated-measures design has the same participants in each group</p> Signup and view all the answers

<p>The mediator must precede the DV in time</p> Signup and view all the answers

<p>To determine the relationship between the IV and the mediator</p> Signup and view all the answers

<p>The interaction between the IV and the moderator</p> Signup and view all the answers

<p>A mediated model analyzes the indirect effect of the mediator, while a moderated model analyzes the conditional effect of the moderator</p> Signup and view all the answers

<p>To analyze the individual influence of each mediator on the DV</p> Signup and view all the answers

<p>Path c = Path c' - Path a*b</p> Signup and view all the answers

<p>The IV is no longer independent, and the moderator influences the relationship between the IV and the DV</p> Signup and view all the answers

<p>To calculate the change in the DV for a one-unit change in the IV</p> Signup and view all the answers

<p>An additive model assumes independent effects of the predictors, while an interactive model assumes conditional effects</p> Signup and view all the answers

<p>To create a figure to describe the association between the IV and the DV</p> Signup and view all the answers