Statistics and Regression Analysis

<p>Variability in a DV uniquely explained by specific IV(s) in multiple regression</p> Signup and view all the answers

<p>Variability in a DV explained by multiple IVs simultaneously</p> Signup and view all the answers

<p>Data = model + error</p> Signup and view all the answers

<p>Change in DV for one unit change in IV, holding other IVs constant</p> Signup and view all the answers

<p>Represents the proportion of variance in the DV that is explained by the IV in the model</p> Signup and view all the answers

<p>To measure the correlation between a predictor variable and outcome variable while controlling for the effects of other predictors.</p> Signup and view all the answers

<p>The order of entry of predictor variables.</p> Signup and view all the answers

<p>To identify multicollinearity between predictor variables.</p> Signup and view all the answers

<p>The relationship between the predictor variables and the outcome variable is linear.</p> Signup and view all the answers

<p>To test the significance of the mediated pathway.</p> Signup and view all the answers

<p>To reduce error by accounting for extraneous variables</p> Signup and view all the answers

<p>The interaction between predictor variables.</p> Signup and view all the answers

<p>The overall experimental effect</p> Signup and view all the answers

<p>To identify the region of significance for the moderator variable.</p> Signup and view all the answers

<p>The variance of the residuals is homogeneous across all levels of the predictor variable.</p> Signup and view all the answers

<p>The control for other independent variables in the analysis</p> Signup and view all the answers

<p>To create a graph to describe the association between the predictor variables and the outcome variable.</p> Signup and view all the answers

<p>To measure the influence of individual data points on the model</p> Signup and view all the answers

<p>Limited power due to small sample size.</p> Signup and view all the answers

<p>Generation of a 95% confidence interval for the mediated effect</p> Signup and view all the answers

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

<p>To evaluate the internal consistency of the items on each factor</p> Signup and view all the answers

<p>The relationship between the covariate and dependent variable is the same across all levels of the independent variable</p> Signup and view all the answers

<p>The influence of an independent variable on the dependent variable, ignoring other independent variables</p> Signup and view all the answers

<p>A measure of the discrepancy between the observed and predicted values of the dependent variable</p> Signup and view all the answers

<p>The slopes are the same for each group.</p> Signup and view all the answers

<p>The influence of each independent variable independent of one another.</p> Signup and view all the answers

<p>Equal numbers of participants in each group.</p> Signup and view all the answers

<p>To determine whether the variances and covariance matrices are the same across groups.</p> Signup and view all the answers

<p>The adequacy of the overall items in the solution.</p> Signup and view all the answers

<p>To determine whether there are groups of independent or semi-independent items.</p> Signup and view all the answers

<p>The effects are correlated with one another.</p> Signup and view all the answers

<p>When there are only two levels of the repeated factor.</p> Signup and view all the answers

<p>To control for the variance shared between other predictors</p> Signup and view all the answers

<p>Unusual on the IV and DV</p> Signup and view all the answers

<p>To represent the data as a combination of the model and error</p> Signup and view all the answers

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

<p>The change in the dependent variable for one standard deviation change in the independent variable</p> Signup and view all the answers

<p>The association between the predictors is dependent</p> Signup and view all the answers

<p>To determine the theoretical importance of the predictors</p> Signup and view all the answers

<p>Unique variance is the variance explained by a specific independent variable, while shared variance is the variance explained by all independent variables</p> Signup and view all the answers

<p>The order of entering the predictors into the model</p> Signup and view all the answers

<p>To measure the proportion of variance in the dependent variable explained by the independent variable</p> Signup and view all the answers

<p>The unstandardised coefficient is in original units, while the standardised coefficient is in standard deviation units</p> Signup and view all the answers

<p>To test the significance of the mediated pathway</p> Signup and view all the answers

<p>To measure the difference between the predicted score and the mean score</p> Signup and view all the answers

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

<p>To describe the association between the continuous moderator and the DV</p> Signup and view all the answers

<p>SS total is the total variance in the dependent variable, while SS residual is the unexplained variance</p> Signup and view all the answers

<p>To measure the proportion of variance in the dependent variable explained by a specific independent variable</p> Signup and view all the answers

<p>Unconditional effects represent the influence of an IV on the DV, regardless of other IVs.</p> Signup and view all the answers

<p>It makes it difficult to isolate independent effects.</p> Signup and view all the answers

<p>To test for sphericity in a repeated-measures design.</p> Signup and view all the answers

<p>To determine the adequacy of the solution.</p> Signup and view all the answers

<p>To determine if the correlation matrix is an identity matrix.</p> Signup and view all the answers

<p>Equal number of participants in each group.</p> Signup and view all the answers

<p>A conditional effect is the influence of an IV on the DV, considering other IVs.</p> Signup and view all the answers

<p>When there are only two levels of the repeated factor.</p> Signup and view all the answers

<p>The covariate must be associated with the dependent variable but not the independent variable.</p> Signup and view all the answers

<p>To examine the unique variance explained by each independent variable.</p> Signup and view all the answers

<p>The level of experimental control.</p> Signup and view all the answers

<p>To generate a confidence interval for the mediated effect.</p> Signup and view all the answers

<p>The association between the covariate and the dependent variable must be the same for each group.</p> Signup and view all the answers

<p>To produce more coherent factors with different items loading on different factors.</p> Signup and view all the answers

<p>To examine the influence of individual data points on the regression model.</p> Signup and view all the answers

<p>To determine the internal consistency of the items on each factor.</p> Signup and view all the answers

<p>The omnibus test examines the overall effect, while the main effect examines the effect of each independent variable.</p> Signup and view all the answers

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

<p>Shared variance with other predictors</p> Signup and view all the answers

<p>Independence of predictor variables</p> Signup and view all the answers

<p>To detect multicollinearity between predictor variables</p> Signup and view all the answers

<p>To analyze the indirect effect of a predictor on an outcome variable through a mediator</p> Signup and view all the answers

<p>It provides a more precise estimate of the standard error</p> Signup and view all the answers

<p>To analyze the conditional effect of a predictor on an outcome variable</p> Signup and view all the answers

<p>The slopes of the predictors are different in an interactive model</p> Signup and view all the answers

<p>To plot the interaction effect of two predictors</p> Signup and view all the answers

<p>The variance of the residuals is constant across all levels of the predictor variable</p> Signup and view all the answers

<p>To separate the variance in the dependent variable into explainable and unexplainable components</p> Signup and view all the answers

<p>Power, with a minimum of 150 participants required</p> Signup and view all the answers

<p>It represents the change in the dependent variable for one standard deviation change in the independent variable, while holding other variables constant</p> Signup and view all the answers

<p>Unique variance is the variability in the dependent variable that is explained by a specific independent variable, while shared variance is the variability in the dependent variable that is explained by multiple independent variables simultaneously, but not by a specific independent variable</p> Signup and view all the answers

<p>To represent the proportion of variance in the dependent variable that is explained by the independent variable</p> Signup and view all the answers

<p>The unstandardized coefficient represents the change in the dependent variable for one unit change in the independent variable, while the standardized coefficient represents the change in the dependent variable for one standard deviation change in the independent variable</p> Signup and view all the answers

<p>To reduce error by controlling for the effects of extraneous variables</p> Signup and view all the answers

<p>To increase the difference between the predicted score and the mean score</p> Signup and view all the answers

<p>A bivariate correlation shows the unique variance of one variable, while a semi-partial correlation shows the shared variance between two variables</p> Signup and view all the answers

<p>To represent the difference between the raw score and the mean score</p> Signup and view all the answers

<p>The relationship between the covariate and the dependent variable is the same for each group</p> Signup and view all the answers

<p>To represent the proportion of variance in the dependent variable that is explained by a specific independent variable, while controlling for the effects of other independent variables</p> Signup and view all the answers

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

<p>A main effect is the overall effect of an independent variable, while a simple effect is the effect of an independent variable at a specific level of a moderator variable</p> Signup and view all the answers

<p>A measure of the influence of individual data points on the regression line</p> Signup and view all the answers

<p>To simplify the interpretation of the factors</p> Signup and view all the answers

<p>To evaluate the internal consistency of the items loading on each factor</p> Signup and view all the answers

<p>A measure of the difference between the observed and predicted values of the dependent variable</p> Signup and view all the answers

<p>A test used to compare the means of three or more groups</p> Signup and view all the answers

<p>Unconditional effects represent the influence of an independent variable on the dependent variable, while conditional effects represent the influence of an independent variable on the dependent variable, controlled for other independent variables.</p> Signup and view all the answers

<p>The effects of the independent variables are correlated, making it difficult to isolate independent effects.</p> Signup and view all the answers

<p>To determine whether the covariance matrices are equal across all groups.</p> Signup and view all the answers

<p>To determine whether the factor solution is viable.</p> Signup and view all the answers

<p>To determine whether the factor solution is viable.</p> Signup and view all the answers

<p>When the study has only two levels of the repeated factor.</p> Signup and view all the answers

<p>A balanced design has equal numbers of participants in each group, while an unbalanced design has different numbers of participants in each group.</p> Signup and view all the answers

<p>To examine the influence of an independent variable on the dependent variable, influenced by other independent variables.</p> Signup and view all the answers

<p>A dependent variable using two or more independent variables simultaneously</p> Signup and view all the answers

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

<p>0 to 1</p> Signup and view all the answers

<p>To increase the difference between the predicted score and the mean score</p> Signup and view all the answers

<p>Change in the dependent variable for one unit change in the independent variable, holding other variables constant</p> Signup and view all the answers

<p>Unique variance is the variability in the dependent variable uniquely explained by a specific independent variable, while shared variance is the variability in the dependent variable explained by multiple independent variables simultaneously</p> Signup and view all the answers

<p>Data = model + error</p> Signup and view all the answers

<p>The unstandardised coefficient is in original units, while the standardised coefficient is in standard deviation units</p> Signup and view all the answers

<p>To identify the correlation between the predictor and outcome variable while controlling for the effects of other predictors</p> Signup and view all the answers

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

<p>To test the assumption of multicollinearity</p> Signup and view all the answers

<p>The interactive model assumes the effect of one predictor is dependent on the other predictor, while the additive model assumes the effects of the predictors are independent</p> Signup and view all the answers

<p>Unconditional effects represent the influence of one IV on the DV, without considering other IVs, while conditional effects represent the influence of one IV on the DV, considering other IVs.</p> Signup and view all the answers

<p>To produce a figure to describe the association between the predictor and outcome variable</p> Signup and view all the answers

<p>Difficulty in isolating the independent effects of each IV</p> Signup and view all the answers

<p>Power, requiring a minimum of 150 participants</p> Signup and view all the answers

<p>To determine if the data meets the assumption of sphericity</p> Signup and view all the answers

<p>To determine the significance of the mediated pathway</p> Signup and view all the answers

<p>To determine the adequacy of the overall items in the solution</p> Signup and view all the answers

<p>The mediated regression model is used to identify the indirect effect of the predictor on the outcome variable, while the hierarchical regression model is used to identify the direct effect</p> Signup and view all the answers

<p>To examine the influence of one predictor on the outcome variable conditional on the score of another predictor</p> Signup and view all the answers

<p>To determine if the factor solution is viable</p> Signup and view all the answers

<p>For any fixed value of the predictor variable, the outcome variable is normally distributed</p> Signup and view all the answers

<p>A balanced design has equal numbers of participants in each group, while an unbalanced design has unequal numbers</p> Signup and view all the answers

<p>When the study has only two levels of the repeated factor</p> Signup and view all the answers

<p>Homogeneity of regression</p> Signup and view all the answers

<p>The covariate is associated with the dependent variable and not the independent variable</p> Signup and view all the answers

<p>One is based on all variance in the independent variable and dependent variable, while the other shows how much unique variance is added to the explanation when other independent variables are controlled</p> Signup and view all the answers

<p>To produce more coherent factors which have different items loading on different factors</p> Signup and view all the answers

<p>To determine if the factor is internally reliable</p> Signup and view all the answers

<p>To measure the discrepancy between the actual score and the predicted score within the regression model</p> Signup and view all the answers

<p>To generate a 95% confidence interval for the mediated effect</p> Signup and view all the answers

<p>One is used when the effect of one independent variable differs at different levels of the second independent variable and the other is used when the effect of one independent variable does not differ at different levels of the second independent variable</p> Signup and view all the answers

<p>To test for the overall experimental effect and determine if the difference lies somewhere</p> Signup and view all the answers

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

<p>The regression coefficients are the same across all groups</p> Signup and view all the answers