logo

Quantitative Analysis Report

27 Pages3522 Words60 Views
   

Added on  2022-12-30

About This Document

This quantitative analysis report focuses on the correlation between body mass indexes at different ages. The study uses data from the National Child Growth Survey and employs SPSS measures to analyze the association between factors. The report includes hypothesis testing, regression analysis, and interpretation of the findings.

Quantitative Analysis Report

   Added on 2022-12-30

ShareRelated Documents
Quantitative Data
Analysis Report
Quantitative Analysis Report_1
Contents
INTRODUCTION.......................................................................................................................................3
I HYPOTHESIS AND METHODOLOGY.................................................................................................3
II. PRELIMINARY STATISTICAL ANALYSIS.......................................................................................4
III. REGRESSION ANALYSIS & INTERPRETATION..........................................................................10
CONCLUSION.........................................................................................................................................24
REFERENCES..........................................................................................................................................26
APPENDIX...............................................................................................................................................27
Quantitative Analysis Report_2
INTRODUCTION
The study is centered on an interpretation of the data gathered by National Child Growth
Survey, that monitors a sample of people raising in a single week in year 1958, at 3-5 year
ranges. In attempt to allow a thorough study of these factors, a number of SPSS measures have
been used to determine whether there is acceptable association between factors or whether
there some important result that could be obtained from data collection of 50 males and females.
I HYPOTHESIS AND METHODOLOGY
Descriptive data including binary logistic regressions would be tested for correlation among BMI
at Seven and Fifty years aged. Models are tested separately with and without variable reaction.
Findings shall be registered and presented both orally and where applicable, socially (Borrill,
Ramirez-Gonzalez and Uauy, 2016). We have tested the below assumptions:
H1: There is substantial correlation among body mass indexes at aged 7 and body mass
indexes at age 50.
H0: There no important association among Body Mass Indexes at 7 as well as 50 years of age.
H1: Adipose tissue at age of 50 is calculated as Body Masses Indexes (BMI), combined with
one's education, father's higher education and sexuality.
H0: Adipose tissue at 50 years of age also isn't calculated as Body Masses Indexes (BMI),
correlated with self-education, father's education and gender
Measures and variables:
Respondent's sex-Different aspects have been described in the survey as 1 for males and 2 for
females respondents.
Father quit school at minimal age or not being represented by two factors, one or even two.
Within this, 1 pertains to Father quite school at a lowest age, as well as 2 pertains to Father who
did not leave school at lower age.
Quantitative Analysis Report_3
Quantity of O-levels obtained by 1974-In addition to do just that, two factors are picked, one as
well as 2. Herein, one represents O-levels passing by year 1974 and 2 implies O-levels not
passing by year 1974.
Physical performance rating – Here, 1 reference to outstanding, 2 references to good, three
references to average, four references to bad and Five references to risky.
Empathy well-being ranking – Herein, 1 reference to outstanding, 2 references to fine, 3
references to average, Four refers to weak and 5 references to risky.
Psycho social rating – Herein, one references to outstanding, 2 references to good, three
references to average, 4 references to weak and 5 references to risky.
II. PRELIMINARY STATISTICAL ANALYSIS
Statistics
Responde
nt sex
Father
left
school
at
minimu
m age
or not
Numb
er of
O-
levels
passed
by
1974
Body
mass
index
at age
7
Body
mass
index
at age
50
Physical
functioni
ng score
Emotion
al well-
being
score
Social
functioni
ng score
Gener
al
health
score
N Valid 49 49 49 49 49 49 49 49 49
Missin
g 0 0 0 0 0 0 0 0 0
Mean 1.45 1.45 1.45 45.55 26.29 2.39 2.41 2.47 2.41
Median 1.00 1.00 1.00 44.00 25.00 2.00 2.00 2.00 2.00
Std.
Deviation .503 .503 .503 9.019 4.306 1.204 1.098 1.260 1.189
Quantitative Analysis Report_4
Variance .253 .253 .253 81.33
6
18.54
2 1.451 1.205 1.588 1.413
Respondent sex
Frequency Percent
Valid
Percent
Cumulative
Percent
Valid Male 27 55.1 55.1 55.1
Female 22 44.9 44.9 100.0
Total 49 100.0 100.0
Father left school at minimum age or not
Frequency Percent
Valid
Percent
Cumulative
Percent
Valid yes 27 55.1 55.1 55.1
No 22 44.9 44.9 100.0
Total 49 100.0 100.0
Number of O-levels passed by 1974
Frequency Percent
Valid
Percent
Cumulative
Percent
Valid Yes 27 55.1 55.1 55.1
No 22 44.9 44.9 100.0
Total 49 100.0 100.0
Quantitative Analysis Report_5
Body mass index at age 7
Frequency Percent
Valid
Percent
Cumulative
Percent
Valid 30 1 2.0 2.0 2.0
34 2 4.1 4.1 6.1
35 1 2.0 2.0 8.2
36 2 4.1 4.1 12.2
37 2 4.1 4.1 16.3
38 2 4.1 4.1 20.4
39 2 4.1 4.1 24.5
40 3 6.1 6.1 30.6
41 2 4.1 4.1 34.7
42 4 8.2 8.2 42.9
43 3 6.1 6.1 49.0
44 2 4.1 4.1 53.1
45 5 10.2 10.2 63.3
46 2 4.1 4.1 67.3
47 2 4.1 4.1 71.4
48 2 4.1 4.1 75.5
49 1 2.0 2.0 77.6
51 1 2.0 2.0 79.6
53 1 2.0 2.0 81.6
54 1 2.0 2.0 83.7
57 2 4.1 4.1 87.8
60 1 2.0 2.0 89.8
61 1 2.0 2.0 91.8
63 1 2.0 2.0 93.9
65 1 2.0 2.0 95.9
66 1 2.0 2.0 98.0
Quantitative Analysis Report_6

End of preview

Want to access all the pages? Upload your documents or become a member.

Related Documents
Quantitative Analysis Report
|27
|3692
|60

Quantitative Data Analysis Report
|24
|3441
|1