REGRESSION DATA: OUTPUT AND WRITE-UP 1
Regression Data: Output and Write-up
Edith M. Walton-Carter
School of Behavioral Sciences, Liberty University
EDCO 745: Intermediate Statistics and Research (D03)
Dr. Tracy Baker
May 9, 2021
, REGRESSION DATA: OUTPUT AND WRITE-UP 2
Regression Data: Output and Write-up
Results
A series of analyses were conducted utilizing Hayes (2018) Process Macro version 3.5.3 to
consider if there was a relationship between gender, age, relationship status and satisfaction with
life. Descriptive statistics and correlations can be found in output 1 & 2. Hayes (2018) Process
produced regression coefficients, p-values and confidence intervals with 5000 bootstrap samples
for each of the regressions included in the models (see . A simple mediation model was also
conducted.
• It was hypothesized that gender and relationship status was an influencing factor in
one’s satisfaction with life. It appears that relationship status (b = .0644, SE = .0327, CI
=([ . 0002 to .1286]) transmits a significant positive effect according to gender (see
Figure 1).
• It was hypothesized that age and relationship status was an influencing factor in one’s
satisfaction with life. It appears that age (b = 5.219, SE = .640, CI = ([3.964 to 6.474)
has a significant positive effect on satisfaction with life (see Figure 2).
Table 1
• Run MATRIX procedure:
•
• **************** PROCESS Procedure for SPSS Version 3.5.3
****************
•
• Written by Andrew F. Hayes, Ph.D. www.afhayes.com
• Documentation available in Hayes (2018). www.guilford.com/p/hayes3
•
• ************************************************************************
**
• Model : 4
• Y : SWLS_2
• X : RelStat
• M : Age
•
• Sample
• Size: 1010
•
Regression Data: Output and Write-up
Edith M. Walton-Carter
School of Behavioral Sciences, Liberty University
EDCO 745: Intermediate Statistics and Research (D03)
Dr. Tracy Baker
May 9, 2021
, REGRESSION DATA: OUTPUT AND WRITE-UP 2
Regression Data: Output and Write-up
Results
A series of analyses were conducted utilizing Hayes (2018) Process Macro version 3.5.3 to
consider if there was a relationship between gender, age, relationship status and satisfaction with
life. Descriptive statistics and correlations can be found in output 1 & 2. Hayes (2018) Process
produced regression coefficients, p-values and confidence intervals with 5000 bootstrap samples
for each of the regressions included in the models (see . A simple mediation model was also
conducted.
• It was hypothesized that gender and relationship status was an influencing factor in
one’s satisfaction with life. It appears that relationship status (b = .0644, SE = .0327, CI
=([ . 0002 to .1286]) transmits a significant positive effect according to gender (see
Figure 1).
• It was hypothesized that age and relationship status was an influencing factor in one’s
satisfaction with life. It appears that age (b = 5.219, SE = .640, CI = ([3.964 to 6.474)
has a significant positive effect on satisfaction with life (see Figure 2).
Table 1
• Run MATRIX procedure:
•
• **************** PROCESS Procedure for SPSS Version 3.5.3
****************
•
• Written by Andrew F. Hayes, Ph.D. www.afhayes.com
• Documentation available in Hayes (2018). www.guilford.com/p/hayes3
•
• ************************************************************************
**
• Model : 4
• Y : SWLS_2
• X : RelStat
• M : Age
•
• Sample
• Size: 1010
•