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Please help me QUESTION 1 1. A researcher has hypothesized that job satisfaction ( Y) is directly associated with work-related stress, and past research has

Please help me

QUESTION 1 1. A researcher has hypothesized that job satisfaction ( Y) is directly associated with work-related stress, and past research has shown that women have higher stress scores than men. If a multiple regression supported both stress and gender as significant predictors of satisfaction, but the interaction between stress and gender was not statistically significant, which of the following statements is true? a. The intercept for women and men would be the same. b. The slope of the regression line for women would be much larger than that for men. c. The slope of the regression line for women would be much smaller than that for men. d. The slope of the regression line for women would be the same as that for men.

QUESTION 2 1. A researcher has hypothesized that job satisfaction ( Y) is directly associated with work-related stress, and past research has shown that women have higher stress scores than men. If a multiple regression supported both stress and gender as significant predictors of satisfaction, and the interaction between stress and gender was statistically significant, which of the following statements is true? a. The slopes of the regression lines for women and men would be different, but the intercepts would be the same. b. The slopes of the regression lines for women and men would be the same, but the intercepts would be different. c. The slopes of the regression lines for women and men would be different, and the intercepts would be different. d. The slopes of the regression lines for women and men would be the same, and the intercepts would be the same.

QUESTION 3 1. A researcher has used stress and gender to predict job satisfaction ( Y). If the researcher examines the multiple R based on the prediction of job satisfaction by stress for women and men separately, the researcher is analyzing ______. a. collinear effects b. nonadditivity effects c. compound effects d. simple main effects

QUESTION 4 1. A researcher using self-esteem to predict coping ability after a natural disaster who finds that the slope relating self-esteem to coping ability is different for males and females would say that sex is a ______. a. controlled variable b. conceptual variable c. moderator variable d. mediating variable

QUESTION 5 1. A researcher using self-esteem to predict coping ability after a natural disaster finds that the regression lines relating self-esteem to coping ability for men and women cross, the relationship would be labeled ______. a. hypothetical b. uncentered c. disordinal d. controlled

QUESTION 6 1. An educational psychologist who finds that the effect of test anxiety on test scores differs according to whether the test is administered in a large or small classroom has detected a(n) ______. a. estimation error b. transformation c. biased effect d. Interaction

QUESTION 7 1. An interaction between two predictors in a multiple regression equation is written as ______. a. X1 - X2 b. X1 + X2 c. X1 * X2 d. X1 / X2

QUESTION 8 1. Interaction terms in multiple regression should be included when ______. a. a curvilinear relationship exists between a predictor and Y b. the researcher suspects from theory that an interaction exists c. the interaction involves two or more categorical variables d. two more continuous predictors are used in order to account for more variance in Y QUESTION 9 1. When used in the context of multiple regression, moderation refers to ______. a. a curvilinear relationship between Y and one or more predictors b. mediation reflecting a causal relationship between two or more predictors c. the presence of multicollinearity among the predictors d. the presence of an interaction between two or more predictors

QUESTION 10 1. A problem encountered when using quasi-experimental designs is ______. a. use of pre- and posttests b. the inability to assign participants to treatment conditions c. the absence of correlations between certain variables d. limits on the number of variables that can be manipulated

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