The document summarizes the results of a study about church attendance. It identifies several limitations and areas for improvement, including that the sample was only collected from one location, was not evenly distributed in age and gender, and included some non-respondents. It also notes that additional dependent variables could have made the study experimental rather than just observational. Collecting responses from multiple locations and asking more detailed questions may have provided more accurate results.

1. Part 6
I have collected the sample from a cafe que which is mostly
a gathering point for adults. It would have better if:
Sample was collected from more than one place.
Sample does not have even portion of quantitative
variables under observations, so may be a larger sample
with even portion of over and below 50 years old people
have better results.
A portion of sample includes outsider which also
decreases the number of effective responses.
A. Quality of Sample

2. Part 6
Age is used as quantitative variable in the data, which may
not be enough for the study such as respond time, which
may measures the interest factor of the respondents.
For categorical variables gender inclusion may have
provided better understanding of the perception.
A. Quantitative Variables

3. Part 6
For categorical variables gender inclusion may have
provided better understanding of the perception.
Response of yes or no is also categorical variable i.e., how
many people said yes or no to the question asked
A. Categorical Variables

4. Part 6
This was not even representation of the sample as it has
65% representative with age less than 50.
A. Responsive variable
16
10
Age, if from this
state
< 50 >= 50

5. Part 6
Study was purely observation as it measures only how
much population of Delaware is going to church.
As this was observational study in does not go any
further what changes are being observed in these two
categories of people.
Each two responses are observational and don’t have
any further dependent variables
B. Observational Study Part
Answers
Are you originally from this
State?
How old are you?
Do you think that attending
church regularly, is important for
an individual’s quality of life?
Yes 26 No
Yes 34 Yes
No 19 No
Yes 52 Yes
Yes 41 Yes
Yes 25 No
Yes 32 Yes
Yes 33 Yes
Yes 57 No
Yes 61 Yes
Yes 51 No
Yes 40 Yes
Yes 22 No
Yes 21 No
No 28 Yes
No 29 Yes
Yes 21 No
Yes 33 No
Yes 52 Yes
Yes 64 Yes
Yes 51 Yes
Yes 70 Yes
Yes 23 No
No 35 No
Yes 48 No
Yes 59 Yes
Yes 60 Yes
Yes 24 Yes
Yes 24 No
Yes 32 Yes

6. Part 6
If I have added two or more variables which tells change in
life of the people, which are going to church, would have
made my study experimental.
Those experimental responses will be dependent on my
original responses sampled above.
B. Experimental Study Part

7. Part 6
If I have used place like church and some other places
diversity of the location would have made my study more
accurate.
Respondents were given to choose between yes or no in
short time in public place. So, this may have impacted the
response.
If the question have included number of time to church in
a week or month, this may be more accurate to get into the
mind of the respondent.
C. Limitation of the study

8. Part 6
Addition of more responses can be made possible.
With an additional question and giving choice to respond
on will may add more value to the accuracy.
Results are reliable based on the responses collected but
these results can be further improved by minimizing above
limitations.
C. Limitation of the study

9. Part 6
To try and reduce the biasness, I didn’t ask for the name of
the respondents.
Environment of the Reponses was not under any influence
or stress. I.e., Reponses were not collected in front of
family members or in presence of class teachers.
D. Respond Biasness

10. Part 6
Selections was not biased as a que without any prior
knowledge of their age was selected.
The biasness in the study may present somehow as data
include more people under 50 years of age.
Also it does not consider the gender factor.
Another biasness may present as it does not count the
people who don’t want to respond the question.
D. Selection Biasness