General linear model of Education MCQs
General linear model of Education MCQs
Our team has conducted extensive research to compile a set of General linear model of Education MCQs. We encourage you to test your General linear model of Education knowledge by answering these multiple-choice questions provided below.
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1: General linearA psychologist was interested in whether the amount of news people watch (minutes per day) predicts how depressed they are (from 0 = not depressed to 7 = very depressed). What does the standardized beta tell us in the output?
A. As news exposure decreases by 0.224 standard deviations, depression increases by 1 standard deviation.
B. As news exposure increases by 1 minute, depression decreases by 0.224 units.
C. As news exposure decreases by 0.224 minutes, depression increases by 1 unit.
D. As news exposure increases by 1 standard deviation, depression decreases by 0.224 of a standard deviation.
2: A psychologist was interested in whether the amount of news people watch predicts how depressed they are. Based on the output, is news exposure a significant predictor of depression?
A. No, because the bootstrap significance value of news exposure is greater than .05.
B. Yes, because the p-value for news exposure is .039, which is less than .05.
C. Yes, because the bootstrapped confidence interval for news exposure contains zero.
D. No, because the confidence interval for news exposure does not contain zero.
3: A consumer researcher was interested in what factors influence people's fear responses to horror films. She measured gender (0 = female, 1 = male) and how much a person is prone to believe in things that are not real (fantasy proneness) on a scale from 0 to 4 (0 = not at all fantasy prone, 4 = very fantasy prone). Fear responses were measured on a scale from 0 (not at all scared) to 15 (the most scared I have ever felt). What is the likely population value of the parameter describing the relationship between gender and fear?
A. -1.943
B. Somewhere between -3.498 and -0.392
C. Somewhere between -3.369 and -0.517
D. .008
4: A psychologist was interested in whether the amount of news people watch predicts how depressed they are. Based on the output below, is there evidence that a meaningful relationship exists in the population?
A. Yes, because the p-value for news exposure is .039, which is less than .05.
B. No, because the bootstrap confidence interval for news exposure contains zero.
C. Yes, because the confidence interval for news exposure does not contain zero.
D. No, because the b-value for news exposure is close to zero.
5: A consumer researcher was interested in what factors influence people
A. 13.5%
B. 15.6%
C. 39.5%
D. 7.4%
6: The General Linear Model (GLM) is a statistical framework that allows researchers to:
A. Analyze only categorical data
B. Conduct experiments with multiple independent variables
C. Examine relationships between dependent and independent variables while controlling for other variables (Correct)
D. Focus exclusively on non-parametric tests
7: What is the key difference between the General Linear Model and the Simple Linear Regression model?
A. The General Linear Model can handle multiple independent variables, while Simple Linear Regression only has one independent variable (Correct)
B. The Simple Linear Regression model is used for non-linear data, while the General Linear Model is used for linear data
C. The General Linear Model can only be used for experimental research, while Simple Linear Regression can be used for both experimental and non-experimental research
D. The Simple Linear Regression model is used for categorical data, while the General Linear Model is used for continuous data
8: In the context of the General Linear Model, what is the purpose of the analysis of variance (ANOVA)?
A. To determine the relationship between two continuous variables
B. To analyze the variance within groups and between groups to test for group differences (Correct)
C. To analyze the variance within a single group
D. To determine the correlation coefficient between two variables
9: The General Linear Model assumes that the errors (residuals) are:
A. Normally distributed with constant variance (homoscedasticity) (Correct)
B. Normally distributed with varying variance (heteroscedasticity)
C. Not normally distributed
D. Positively skewed
10: What does the term "fixed effects" refer to in the General Linear Model?
A. The effects of variables that are manipulated by the researcher (Correct)
B. The effects of variables that are not manipulated by the researcher
C. The effects of random sampling
D. The effects of measurement errors
11: In the General Linear Model, what does the term "interaction" indicate?
A. The presence of a non-linear relationship between variables
B. The joint effect of two or more independent variables on the dependent variable (Correct)
C. The presence of a multicollinearity issue
D. The absence of a relationship between variables
12: When conducting a General Linear Model analysis, what is the purpose of conducting post hoc tests?
A. To test the significance of each independent variable separately
B. To compare the sample mean with the population mean
C. To determine which group means are significantly different from each other after finding a significant overall effect in ANOVA (Correct)
D. To examine the correlation between two dependent variables
13: What is the assumption of independence in the General Linear Model?
A. The errors are normally distributed
B. The dependent variable is measured on a continuous scale
C. The observations are not related or correlated with each other (Correct)
D. The sample size is large enough
14: The General Linear Model can handle both categorical and continuous independent variables. How are categorical variables represented in the model?
A. As dummy variables or indicator variables (Correct)
B. As continuous variables with a large range
C. As nominal variables with numeric codes
D. As ordinal variables with rank order
15: In the General Linear Model, the effect size can be calculated using:
A. R-squared (Correct)
B. The t-value
C. The p-value
D. The standard error of the estimate
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General linear model of Education MCQs
