Question

If a moderator variable moderated the relation between the independent variable and the dependent variable in...

If a moderator variable moderated the relation between the independent variable and the dependent variable in a study, how does the p-value change? If the p-value when the moderator is present is larger, does that mean the moderator variable weakened or strengthened the relationship between the independent variable and dependent variable?

Homework Answers

Answer #1

The p-value changes with the significance of the relationship between dependent and independent variables. Higher p-value indicates weaker relationship and lower p-value indicates stronger relationship. If a moderator variable moderated the relationship between the dependent and independent variable, then the p-value will increase.

If the p-value is larger in presence of the moderator variable, that means the moderator variable weakened the relationship between the independent and dependent variable.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
the relationship between dependent variable and independent variable.
the relationship between dependent variable and independent variable.
1. MODERATION EFFECT Table 10.20: Result of Hierarchical Regression Analysis (Customer Loyalty) Independent variables Dependent variable:...
1. MODERATION EFFECT Table 10.20: Result of Hierarchical Regression Analysis (Customer Loyalty) Independent variables Dependent variable: Customer Loyalty Step 1 Step 2 Step 3 Primary independent variables Trust 0.250* 0.223* 0.287* Commitment 0.122 0.131 0.089 Communication 0.293** 0.301** 0.164* Conflict Handling 0.293** 0.301** 0.164* Moderating variable Gender -0.105* -0.096 Interaction effects Trust    x Gender 0.509** Commitment    x   Gender -0.050 Communication   x   Gender -0.416* Conflict Handling   x Gender -0.416* R2 0.239 0.307 0.432 Change in R2 0.239* 0.068I* 0.125* Change in...
Select two variables, one independent variable and the other the dependent variable. Explain the cause and effect the relation between the two.
Select two variables, one independent variable and the other the dependent variable. Explain the cause and effect the relation between the two. How would you construct the Simple Linear Regression (quantity of data and how you will measure the results), and what would you use to validate the equation forecasting an x value. What will be your expectation of the results of this investigation?
In controlled comparison research, the observed relationship between an independent variable (X) and a dependent variable...
In controlled comparison research, the observed relationship between an independent variable (X) and a dependent variable (Y) may be caused by some other, uncontrolled compositional difference (Z). So, we always ask, “How else, besides the independent variable, are the groups I am comparing not the same?” For the hypothesis below, do the following: (i) Think up a plausible alternative causal variable. (ii) Describe how this variable might affect the relationship between the independent variable and the dependent variable. In a...
A scatter plot shows: the direction and strength of a relationship between the independent and dependent...
A scatter plot shows: the direction and strength of a relationship between the independent and dependent variables. nothing. The line of best fit is what is important. that there is a linear relationship between the independent and dependent variables. how you can predict the dependent variable knowing the independent variable.
You have estimated the correlation between exposure to noise (independent variable) and hearing loss (dependent variable)...
You have estimated the correlation between exposure to noise (independent variable) and hearing loss (dependent variable) among factory workers. Both exposure and outcome measures were collected as continuous variables. The statistical analysis showed a Pearson r of 0.4 and the correlation between the two variables was highly significant at p < 0.001. Question: Can one argue that the relationship between the investigated exposure and outcome is causal? why and How likely is the possibility that the results were a mere chance finding? Why?...
In observational studies, the observed relationship between an independent and a dependent variable may be caused...
In observational studies, the observed relationship between an independent and a dependent variable may be caused by some other, uncontrolled difference. So we always ask, “How else, besides the independent variable, do the subjects differ?” For the two hypotheses below: a. Think up a plausible alternative casual variable on which the subjects might differ b. Describe how this variable might affect the relationship between the independent variable and the dependent variable Hypothesis 1: In a comparison of congressional candidates, candidates...
Regression ____ (b values) indicate how much influence each independent variable has on the dependent variable....
Regression ____ (b values) indicate how much influence each independent variable has on the dependent variable. Regression analysis serves two main purposes: to define the relationship between variables and to ____ values of the dependent variable using what we know about the existing correlation between the variables. The coefficient of multiple determination, R^2, is interpreted as the percentage of ____ in the dependent variable that is explained by the independent variable.
In regression analysis, a higher correlation between the dependent variable and the independent variable indicates a...
In regression analysis, a higher correlation between the dependent variable and the independent variable indicates a higher estimated slope.
In a scientific study: Select one or more: a. neither the independent or dependent variable is...
In a scientific study: Select one or more: a. neither the independent or dependent variable is controlled by the scientist b. the dependent variable is controlled by the scientist c. both the independent and dependent variable are controlled by the scientist d. the independent variable is controlled by the scientist