Discussion Integrating Faith and Learning
Introduction
Learning how to choose the appropriate statistics, interpreting those outputs, and developing skills about
the meaning of the results is comes in handy when doing research (Morgan, Barrett, Leech, &
Gloeckner 2020). However, it can also be beneficial as a method of developing or forming an
appropriate lifestyle. Many people today have created a culture that elevates individual choice and
expression. It has grown to the extent that commanding truth and/or values that join people together are
almost non existing. A reappropriation of calling and/or vocation will need to be done to make a real
difference (Keller, & Alsdorf 2012). The information developed through learning the skills that cover the
entire research process can help bring about that difference (Morgan, Barrett, Leech, & Gloeckner
2020).
God has a plan for how one should handle challenging work. Sometimes things fall apart. In that
time often people know something is wrong but can’t identify what it is. In some instances, they know
but can’t bring themselves to admit what’s wrong. Regardless of the case knowing the effects it can
cause a deep restlessness. Even more so trying to understand the true cause of the situation(s). Lack of
ability mixed with the resistance within the environment causes conflict, pain, fatigue and even envy.
Which makes work challenging. All of which stems from a broken relationship with God (Keller, & Alsdorf
2012).
The problems people can face at work are often because they envision far more than they can
accomplish. Some hope to make a real contribution to their place of employment or field of expertise.
Others aspire to change the world or make some major improvement in society. Yet there is nothing in
this world is sufficient enough for a meaningful life. Considering the circumstances of life always
threaten the foundation of life. Dependence on God is the precondition for an unshakeable and
purposeful life (Keller, & Alsdorf 2012).
Knowing statistics can help break down the issues or problems of life that hinder one from forming and
maintaining a relationship with God. Moving from the sense of curiosity, or the feeling that there is an
unresolved issue and/or clearly defining a problem can be complex and long. The key element(s) is the
variables used. Which is defined as a characteristic of the participants or situation in each study that has
different values. By learning statistics one can choose the appropriate statistic for measurement to
accomplish the meaningful relationship by learning the correlation of the effects of the variables
(Morgan, Barrett, Leech, & Gloeckner 2020). In this case those would be the things that hinder a
relationship with God.
For example, use the variable student’s current gpa, but consider it t be student current relationship with
God. Things (variables) that may interfere with student’s relationship with God are their marital status
(filling spousal obligations), if they have children (take care of children), hours spent studying (hours
spent study the word of God, praying etc.), and hours spent working (hour earning money for cost of
living).
The statistics used was multiple regression. It only uses the participants who have complete data
(listwise exclusion) for all variables (Morgan, Barrett, Leech, & Gloeckner 2020). The descriptive
statistics for all five variables in the first table. The N is 48 because two participants are missing a score
on one or more variables (CollegeStudentData). In the correlation matrix one can find the correlations of
other variables with student’s current gpa (student’s current relationship with God). This is found in the
first column in the Sig. (1tailled) section (Morgan, Barrett, Leech, & Gloeckner 2020). Which shows that
the significance level for correlations between predictors and achievement are all significant. Marital
status is .062, does have children is .039, hour of study per week .213, and hours per week spent
working is .014. Also, that marital status and does have children are highly correlated to one another,
with a result of .722. That is not desirable, and one may want to combine those two variables into one
(CollegeStudentData).
The multiple regression is shown in the model summary (Morgan, Barrett, Leech, & Gloeckner 2020).
Indicating that the multiple correlation coefficient (R) using all the predictors simultaneously is .362 and
the adjusted r² is .052. Meaning that 5.2% of the variance in student’s current gpa (student’s current
relationship with God) can be predicted from the combination of marital status (filling spousal
obligations), does have children (take care of children), hours spent studying (hours spent study the
word of God, praying etc.), and hours spent working (hour earning money for cost of living). The ANOVA
table shows F = 1.662 and is statistically significant with Sig .176, p>.001 (CollegeStudentData).
The coefficients table show the standardized beta coefficients, which allow one to compare the amount
that each variable contributes to predicting student’s current gpa (student’s current relationship with
God), when all variables are used as predictors. The t value and the Sig opposite each independent
variable indicate whether that variable is significantly contributing to the equation for predicting student’s
