Learn Before
A developmental psychologist is evaluating different predictors of 'Prosocial Behavior Score' (measured on a scale of 1 to 50) in young children. Based on the average contribution (magnitude of change in the outcome variable for each one-unit change in the predictor) indicated by their regression weights (), arrange the predictors in sequence from the one that makes the SMALLEST average contribution to the one that makes the LARGEST average contribution.
0
1
Tags
KPU
Research Methods in Psychology - 4th American Edition @ KPU
Related
Simple Regression Formula
In a regression equation, what does a regression weight represent?
In a psychological study predicting students' Academic Stress (outcome variable) based on their Weekly Hours of Sleep (predictor variable), match each potential regression weight () with its correct interpretation.
A psychology researcher is comparing four different predictors of 'Subjective Well-being' (scored 1–100). Based on the predicted change in well-being for each predictor described below, arrange the factors in order of their regression weights (b₁), from the highest positive weight to the most negative weight.
When analyzing two different predictors of 'Academic Stress,' a researcher finds that 'Weekly Deadlines' has a regression weight () of 8.0 and 'Commute Distance' (in miles) has a regression weight of 2.0. The researcher concludes that 'Weekly Deadlines' is a more important predictor because its regression weight is numerically larger. This conclusion is a valid evaluation of the predictors' relative strength.
A researcher is developing a predictive tool to determine how 'Daily Reading Time' (measured in minutes) contributes to 'Vocabulary Size' (number of words) in toddlers. To construct a regression-based protocol that specifically isolates the average contribution of each minute of reading to the predicted vocabulary size, which methodological setup should the researcher design?
In a regression equation, the regression weight () indicates how much the predictor variable changes, on average, for each one-unit change in the outcome variable.
A clinical psychologist uses a regression model to examine how 'Daily Mindfulness Practice' (measured in minutes) predicts clients' 'Weekly Anxiety Level' (on a scale of to ). The regression weight () for mindfulness practice is . According to this model, for each additional minute of daily mindfulness practice, a client's predicted weekly anxiety level is expected to decrease, on average, by _____ point(s).
A researcher finds a regression weight () of 2.5 for 'Number of Weekly Deadlines' predicting 'Stress Level' (on a scale of 1–100). According to this regression model, if an employee is assigned 2 additional deadlines, their predicted Stress Level will increase by _____ points.
In a research study predicting students' Test Anxiety (measured on a scale of 10 to 100) from various behaviors, match each predictor variable's regression weight () with its correct analytical interpretation of how the outcome variable changes on average for each one-unit increase in that predictor.
A developmental psychologist is evaluating different predictors of 'Prosocial Behavior Score' (measured on a scale of 1 to 50) in young children. Based on the average contribution (magnitude of change in the outcome variable for each one-unit change in the predictor) indicated by their regression weights (), arrange the predictors in sequence from the one that makes the SMALLEST average contribution to the one that makes the LARGEST average contribution.