The Demographics that Predict Success in the Australian Certified Financial Planner (CFP®) Certification Program
, e
18 mar 2024
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 18 mar 2024
Pagine: 26 - 47
Ricevuto: 17 ott 2016
Accettato: 20 feb 2017
DOI: https://doi.org/10.2478/fprj-2017-0002
Parole chiave
© 2017 Sharon Taylor et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1.

Summary of the analysis done for age and gender
No | Hypotheses | The result of analyses |
---|---|---|
Gender * Success (Number of fails in CFP®) | The null hypothesis is rejected | |
Age category * Fail in CFP® | The null hypothesis is rejected | |
Gender * Number of exemption | The null hypothesis is accepted | |
Age category * Number of exemption | The null hypothesis is rejected | |
Gender * Mark | The null hypothesis is accepted | |
Age category * Mark | The null hypothesis is rejected |
Education * Mark Cross-tabulation
Education | Mark in Final CFP Exam | Total | |||
---|---|---|---|---|---|
<40 | >40<50 | >50 | |||
Count |
8 |
4 |
4 |
16 |
|
Count |
4 |
8 |
6 |
18 |
|
Count |
5 |
18 |
15 |
38 |
|
Count |
6 |
13 |
6 |
25 |
|
Count |
3 |
4 |
5 |
12 |
|
Candidate Location
Postcode | Total | % |
---|---|---|
(NSW) | 41 | 38% |
(ACT) | 1 | 1% |
(VIC) | 31 | 28% |
(QLD) | 11 | 10% |
(SA) | 7 | 6% |
(WA) | 16 | 15% |
(TAS) | 1 | 1% |
(NT) | 1 | 1% |
j_fprj-2017-0002_tab_004
Mark achieved in CFP® Final Exam | |||||||
---|---|---|---|---|---|---|---|
Gender | P | CR | D or HD | Total | %P | %CR | % D or HD |
12 | 36 | 28 | 76 | 16% | 47% | 37% | |
14 | 11 | 8 | 33 | 42% | 33% | 24% | |
26 | 47 | 36 | 109 | 24% | 43% | 33% | |
9.000 | 2 | 0.011 | 0.012 |
Education * Exemption Cross-tabulation
Education | No. of Subject Exemptions | Total | ||||
---|---|---|---|---|---|---|
0 | 1 | 2 | 3 | |||
Count |
13 |
2 |
0 |
1 |
16 |
|
Count |
15 |
0 |
2 |
1 |
18 |
|
Count |
28 |
1 |
3 |
6 |
38 |
|
Count |
5 |
0 |
0 |
20 |
25 |
|
Count |
3 |
2 |
0 |
7 |
12 |
|
Final Examination Fail * Exemption Cross tabulation
Education | No. of Fails in Final Exam | No. of Subject Exemptions | Total | ||||
---|---|---|---|---|---|---|---|
0 | 1 | 2 | 3 | ||||
Count |
9 |
2 |
0 |
1 |
12 |
||
Count |
2 |
0 |
0 |
0 |
2 |
||
Count |
2 |
0 |
0 |
0 |
2 |
||
Count |
13 |
2 |
0 |
1 |
16 |
||
Count |
10 |
0 |
2 |
1 |
13 |
||
Count |
4 |
0 |
0 |
0 |
4 |
||
Count |
1 |
0 |
0 |
0 |
1 |
||
Count |
15 |
0 |
2 |
1 |
18 |
||
Count |
18 |
0 |
1 |
6 |
25 |
||
Count |
6 |
1 |
1 |
0 |
8 |
||
Count |
3 |
0 |
0 |
0 |
3 |
||
Count |
1 |
0 |
1 |
0 |
2 |
||
Count |
28 |
1 |
3 |
6 |
38 |
||
Count |
3 |
0 |
0 |
17 |
20 |
||
Count |
1 |
0 |
0 |
3 |
4 |
||
Count |
1 |
0 |
0 |
0 |
1 |
||
Count |
5 |
0 |
0 |
20 |
25 |
||
Count |
1 |
1 |
0 |
5 |
7 |
||
Count |
1 |
1 |
0 |
2 |
4 |
||
Count |
1 |
0 |
0 |
0 |
1 |
||
Count |
3 |
2 |
0% | 7 |
12 |
Gender and Age
Gender | |||
---|---|---|---|
Frequency | Per cent | Cumulative Per cent | |
76 | 69.7 | 69.7 | |
33 | 30.3 | 100 | |
109 | 100 | ||
55 | 50.5 | 50.5 | |
34 | 31.2 | 81.7 | |
20 | 18.3 | 100 | |
109 | 100 |
Results summary
No. of Subject Exemptions | % who received maximum (3 exemptions) | |||||
---|---|---|---|---|---|---|
Gender | 0 | 1 | 2 | 3 | Total | |
40 | 1 | 4 | 31 | 76 | 41% | |
24 | 4 | 1 | 4 | 33 | 12% | |
64 | 5 | 5 | 35 | 109 | 32% | |
13.578 | 3 | 0.004 | 0.003 |
Licensee
Licensee | Total | % |
---|---|---|
AMP | 3 | 3% |
ANZ | 2 | 2% |
CBA | 2 | 2% |
IPAC | 2 | 2% |
NAB | 3 | 3% |
WESTPAC | 10 | 9% |
Others | 87 | 80% |
Prior Education
Frequency | Per cent | Cumulative Percent | |
---|---|---|---|
16 | 14.7 | 14.7 | |
18 | 16.5 | 31.2 | |
38 | 34.9 | 66.1 | |
25 | 22.9 | 89.0 | |
12 | 11.0 | 100.0 | |