A researcher is interested in days spent unemployed and feelings of efficacy rel

Question

A researcher is interested in days spent unemployed and feelings of efficacy related to work. She wonders what impact one's explanatory style might have on the relationship between these variables. She wants to be sure to understand the relation between her variables as clearly as possible. What technique could she use to help address this issue, and what would be accomplished through this method?

Regression will allow all three variables to be examined simultaneously.

Partial correlation will allow her to examine the relationship between length of unemployment and efficacy while removing the influence of the third variable, explanatory style.

Correlations performed between each pair of variables will allow her to examine which relationship is the strongest.

Analysis of variance will allow her to examine the influence of all variables at once.

Regression will allow all three variables to be examined simultaneously.

Partial correlation will allow her to examine the relationship between length of unemployment and efficacy while removing the influence of the third variable, explanatory style.

Correlations performed between each pair of variables will allow her to examine which relationship is the strongest.

Analysis of variance will allow her to examine the influence of all variables at once.

Explanation / Answer

Solution:

A. Regression will allow all three variables to be examined simultaneously.

Explanantion: Regression analysis allows three variables to be examined, because, regression analysis results into a individual p values corresponding to test statistic t, which enables the researcher to determine which variable has significant effect on the response variable.

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