Users' questions

What is meant by moderating effect?

What is meant by moderating effect?

The effect of a moderating variable is characterized statistically as an interaction; that is, a categorical (e.g., sex, ethnicity, class) or quantitative (e.g., level of reward) variable that affects the direction and/or strength of the relation between dependent and independent variables.

What is moderating variable in research example?

Moderating variables can be qualitative (non-numerical values like race, socioeconomic class or sex) or quantitative (numerical values like weight, reward level or age). For example: According to the American Psychological Association, stress has a bigger impact on men than women.

What is mediating effect in research?

In communication research, a mediating variable is a variable that links the independent and the dependent variables, and whose existence explains the relationship between the other two variables. A mediating variable is also known as a mediator variable or an intervening variable.

What is the moderator in research?

A moderator variable is a qualitative (e.g., gender, SES) or quantitative (e.g., amount of social support) variable that affects the direction and/or strength of the relationship between an independent or predictor variable and a dependent or criterion variable.

What are moderating factors?

Moderating factors are factors that can restrain the impact of antecedents so as to impact the level of involvement include the opportunity available to the person to collect and collate facts and information, the cognitive ability to process information and draw conclusions, and the time available in hand.

What are moderating variables?

Moderating variables can have the following effects: Strengthen the relationship between two variables. Weaken the relationship between two variables. Negate the relationship between two variables.

What is a moderating variable?

Strengthen the relationship between two variables.

  • Weaken the relationship between two variables.
  • Negate the relationship between two variables.