GEOG 5010 Research Methods

GEOG 5010 Research Methods

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GEOG 5010 Research Methods

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GEOG 5010 Research Methods

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Course Code: GEOG5010
University: The University Of Adelaide

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Country: Australia

Question:
Your report must include the following, the word count is a guide only for each section. A short introduction to the research, including an aim and hypotheses.A results section summarising the quantitative data collected, graphs and tables should be included and should be formatted appropriately.A results section summarising the qualitative anlaysis of the main themes you and the class have collected.A discussion section interpreting and incorporating both the quantitative and qualitative analysis and how they relate back to your aim and hypotheses, together with a short conclusion.
Answer:
Introduction:

Class report research is a research conducted on students to investigate some aspects concerning the students. The main aspects addressed here how the age of the students affect their format of attending the class that is face to face or online via virtual class and how attending class either full time of part time is affected by age. The average time taken outside was also observed. The way age affect the time the student the outside the class room and how the time taken outside the classroom is affected by attending class either part time or full time and the format of attending the tutorial either virtual or face to face. Another area investigated was whether having diploma in beauty therapy could affect the number of hours they work per week.
From the whole study, some hypothesis were developed to help us address the issues of concerns. These were researchers seven hypothesis which were against the null hypothesis and they include the following;

Students wanting to study part time will be significantly higher age than those studying full time.
Students wanting to study face to face will be significantly higher age than those studying online.
Students preferring part time study will work significantly more hours than those wanting full time study.
There would be more students wanting to study part than there are expected
There would be more students wanting to study via virtual classroom than expected
Those studying part time are more likely to prefer virtual classroom
Those without a diploma of beauty therapy will study more than those with a diploma of beauty therapy.

The data was collected using the questionnaires. The questionnaires were given to different students. They were asked on the questionnaires on whether they prefer to take classes face to face or via virtual classes, their age, the average time they take outside the classroom, preference between full time or part time class and if they had diploma in beauty therapy.
Quantitative
Hypothesis 1: Students wanting to study part time will be significantly higher age than those studying full time. 

 

In which format would you prefer (full time or part time).

N

Mean

Std. Deviation

Std. Error Mean

What is your age

Full time

78

25.76

8.071

.914

Part time

27

26.30

7.135

1.373

 

Levene’s Test for Equality of Variances

t-test for Equality of Means

F

Sig.

t

df

Sig. (2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the Difference

Lower

Upper

What is your age

Equal variances assumed

.362

.549

-.308

103

.759

-.540

1.752

-4.014

2.934

Equal variances not assumed

 

 

-.327

50.772

.745

-.540

1.649

-3.852

2.772

By running the independent t-test it is found that;
There is no significance difference in age between those wanting full time and part time study t(103) is -0.308,  p-value is 0. 3795. Mean age for full time was 25.76 and a standard deviation of 8.071, mean age for part time was 26.30 with a standard deviation of 7.135.
Hypothesis 2: Students wanting to study face to face will be significantly higher age than those studying online.

Group Statistics

 

Would you prefer to attend your classes live face-to-face or live online?

N

Mean

Std. Deviation

Std. Error Mean

What is your age

Face to face

42

25.55

8.915

1.376

Online via virtual classroom

63

26.13

7.047

.888

Independent Samples Test

 

Levene’s Test for Equality of Variances

t-test for Equality of Means

F

Sig.

t

df

Sig. (2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the Difference

Lower

Upper

What is your age

Equal variances assumed

.868

.354

-.371

103

.712

-.579

1.563

-3.678

2.520

Equal variances not assumed

 

 

-.354

73.805

.724

-.579

1.637

-3.842

2.683

By running the independent t-test it is found that;
There is no significant difference in age between those wanting face to face study or online via virtual classroom t(103) is 0.371  p –value is 0.356. Mean age for full time was 25.55, with standard deviation of 8.915 and mean age for part time was 26.13 with a standard deviation of 7.047.
Hypothesis 3: Students preferring part time study will work significantly more hours than those wanting full time study.

Group Statistics

In which format would you prefer (full time or part time).

N

Mean

Std. Deviation

Std. Error Mean

Slide the slider to indicate total amount of HOURS outside of class time (study) you would prefer to complete each week:

Full time

77

9.99

3.902

.445

Part time

27

8.89

3.191

.614

Independent Samples Test

 

Levene’s Test for Equality of Variances

t-test for Equality of Means

F

Sig.

t

df

Sig. (2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the Difference

Lower

Upper

Slide the slider to indicate total amount of HOURS outside of class time (study) you would prefer to complete each week:

Equal variances assumed

.381

.538

1.315

102

.191

1.098

.835

-.558

2.754

Equal variances not assumed

 

 

1.449

55.223

.153

1.098

.758

-.421

2.617

By running the independent t-test it is found that;
There is no significant difference in working hours between those wanting full time and part time study t(102) is 1.315,  p-value is 0.0955. Mean hours for full time was 9.99, with a standard deviation of 3.902 and mean hours for part time was 8.89 with a standard deviation of 3.191 so those wanting part time study do work significantly more hours.
Hypothesis 4: There would be more students wanting to study part time than there are expected
When we expect about 30% of students to study part time, we run a chi-square of goodness of fit

In which format would you prefer (full time or part time). 1 full time 2 part time

 

Observed N

Expected N

Residual

Full time

78

52.5

25.5

Part time

27

52.5

-25.5

Total

105

 

 

 

Test Statistics

 

In which format would you prefer (full time or part time). 1 full time 2 part time

Chi-Square

24.771a

df

1

Asymp. Sig.

.000

There is significant difference between the expected and observed, but the hypothesis was not supported.
The hypothesis was supported, X2(1,105) is 24.771, p-value 0.000. Of the 105 students, we expected 52.5 to study full time and we observed 78, we expected 52.5 to study part time and we observed 27.
Hypothesis 5: There would be more students wanting to study via virtual classroom than expected
According to current figures about 10% of students attend class face to face while the rest choose to attend via virtual classroom.

Would you prefer to attend your classes live face-to-face or live online? 1 = face to face 2 equal online

 

Observed N

Expected N

Residual

Face to face

42

53.0

-11.0

Online via virtual classroom

64

53.0

11.0

Total

106

 

 

 

 

Would you prefer to attend your classes live face-to-face or live online? 1 = face to face 2 equal online

Chi-Square

4.566a

df

1

Asymp. Sig.

.033

While there was a significant difference between observed and expected, the hypothesis was not supported as the opposite occurred.  X2(1,106) = 4.566, p=0.033. We expected 53.0 students to study face to face and we observed 42, we expected 53.0 to study part time and we observed 64. Rather than more students wanting virtual classrooms, more students wanted face to face than expected.
Hypothesis 6: Those studying part time are more likely to prefer virtual classroom
Students who study part time may want the added flexibility of virtual classrooms

Chi-Square Tests

 

Value

df

Asymptotic Significance (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

.673a

1

.412

 

 

Continuity Correctionb

.351

1

.554

 

 

Likelihood Ratio

.683

1

.408

 

 

Fisher’s Exact Test

 

 

 

.497

.279

Linear-by-Linear Association

.667

1

.414

 

 

N of Valid Cases

105

 

 

 

 

There is no association between mode of study (full time and part time study) and the format of study (virtual classroom and face to face). X2(1,105) = .673, p = .412
Hypothesis 7: Those without a diploma of beauty therapy will study more than those with a diploma of beauty therapy
Students with a diploma may be working and have less time to study

ANOVA

Over the past month on average many hours per week have you been working?

 

 

 

 

 

 

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

365.100

2

182.550

1.002

.371

Within Groups

16768.032

92

182.261

 

 

Total

17133.132

94

 

 

 

There is no significant difference in the amount of study time students think they need to contribute to regardless of if they have a diploma or not. F(2,94) = 1.002, p = 0.371
Different students choose whether to attend class in full time or part time. This can be due to the fact that some students are working and would therefore want their classes scheduled to fit in their program. Such part time would include in the morning before they go to work, in the evening after work or during weekends when they are free. There are some students who prefer part time though they might not have proper thing to do. There are some categories of students who are parents and mostly take their classes in the evening. The study conducted to investigate on whether there is significance difference in the average age of the students of part and full time where there was no significant difference. This show that many students prefer part time to utilize the rest of the time in other activities.
As always known many students prefer to attend class face to face, some students prefer to take their classes online via the virtual class. This has been attributed by the advancement in technology and availability of reliable internet. The distance between the tutor and the student can also contribute to the rising of attending the virtual class. Being in a busy world, some student prefer to attend virtual class because of their tight schedule which cannot allow them to attend the regular class. So, investigating if there are any significant difference in mean age of student who attend classes face to face and the mean age of students who attend the class virtually. There was no statistical difference in their means. This means that many students prefer the new form of attending the virtual class and soon enough many students will be taking this type of study. Another factor may due to many students prefer to take the study at their comfort. It is expected that the number of student taking virtually increase in future and it will not depend on the age of the student. If it assumed that may be the older people who would like to further their study, would prefer to take virtual class but it descending down to younger student.
Another study which was surveyed was whether the mean difference between those student who opted to take part time class and the mean difference of those student who took full time classes. There was no significant difference in their means according to our findings. This could be attributed by the full time students working overtime to compensate for the time not covered during the time they are in class. This non-significant difference can be explained by the facts they are few and working long hours bringing the mean close to those who are taking part time
From the past experience, we expected that 30% of the of the students will prefer to take part time classes because of some commitments, our hypothesis was watered down when the findings showed that expectation of 53 had only 27 observations.
Conclusion
The average age of students who want to take their studies part time and full time has on difference. Both the young students and old students has the chance of having their mode of study as part time or full time. It also clear that the age does not dictate whether a student take face to face classroom or virtual classroom.
The average working hours of the students, from the study, did not determine whether a student take a full time or part time class.
From the study it is clear that there are no more student who would want to take part time study than we expected. On virtual classroom, the students show little interest in the online classroom as the expectation of more students to take virtual classroom flops from the study.
It is also clear from the study that the mode the student choose whether full time or part time did relate to those students choosing either face to face classroom or virtual classroom. The study also shows that the average hours the student were working did not depend on whether they have diploma on beauty therapy or not.

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