Sample size : 10356
date: “2024-09-03 14:07:00.542333”
Waves
|
Wave
|
Freq
|
%
|
|
Prolific
|
445
|
4.3
|
|
Wave 1
|
5872
|
56.7
|
|
Wave 2
|
4039
|
39.0
|
Sample Demographics & Audiance Targets
Gender:
|
Gender
|
Freq
|
%
|
target
|
|
Woman
|
5788
|
55.9
|
53-54
|
|
Man
|
4493
|
43.4
|
46-47
|
|
Other
|
75
|
0.7
|
< 5
|
Age (3 bin targets):
|
Age
|
Freq
|
%
|
target
|
|
21 - 34
|
3315
|
32.0
|
32.4
|
|
35 - 44
|
2595
|
25.1
|
25.6
|
|
45 - 66
|
4446
|
42.9
|
42.0
|
Race:
|
Race
|
Freq
|
%
|
target
|
|
White
|
7342
|
70.9
|
72
|
|
Other
|
1133
|
10.9
|
11-12
|
|
Asian
|
1015
|
9.8
|
10
|
|
Black
|
866
|
8.4
|
8-9
|
Employment:
|
Employment
|
Freq
|
%
|
target
|
|
Working full-time
|
8222
|
79.4
|
80
|
|
Not in workforce
|
1116
|
10.8
|
10
|
|
In Workforce, not FT
|
1018
|
9.8
|
10
|
Personal Income:
|
Income
|
Freq
|
%
|
target
|
|
< $50k
|
2593
|
25.0
|
24
|
|
$100k - $149k
|
1951
|
18.8
|
21
|
|
$150k +
|
1095
|
10.6
|
11
|
|
$50k - $99k
|
4717
|
45.5
|
44
|
Sample Demographics & Audiance Targets: 30 years +
Gender (30+):
|
Gender
|
Freq
|
%
|
target
|
|
Woman
|
4923
|
55.3
|
53-54
|
|
Man
|
3929
|
44.2
|
46-47
|
|
Other
|
46
|
0.5
|
< 5
|
Age (3 bin targets) (30+):
|
Age
|
Freq
|
%
|
target
|
|
21 - 34
|
1857
|
20.9
|
32.4
|
|
35 - 44
|
2595
|
29.2
|
25.6
|
|
45 - 66
|
4446
|
50.0
|
42.0
|
Race (30+):
|
Race
|
Freq
|
%
|
target
|
|
White
|
6466
|
72.7
|
72
|
|
Other
|
901
|
10.1
|
11-12
|
|
Asian
|
834
|
9.4
|
10
|
|
Black
|
697
|
7.8
|
8-9
|
Employment (30+):
|
Employment
|
Freq
|
%
|
target
|
|
Working full-time
|
6963
|
78.3
|
80
|
|
Not in workforce
|
1070
|
12.0
|
10
|
|
In Workforce, not FT
|
865
|
9.7
|
10
|
Personal Income (30+):
|
Income
|
Freq
|
%
|
target
|
|
< $50k
|
2181
|
24.5
|
24
|
|
$100k - $149k
|
1786
|
20.1
|
21
|
|
$150k +
|
1010
|
11.4
|
11
|
|
$50k - $99k
|
3921
|
44.1
|
44
|
Contingency table: Dream job & Do Over: full pop
|
|
|
Do Over (%)
|
|
|
Contingency table
|
Yes
|
No
|
Total DmJ
|
|
Dream job: No
|
26.7
|
13.2
|
39.9
|
|
Dream job: Yes
|
29.6
|
30.5
|
60.1
|
Contingency table: Dream job & Do over: Age ver 30 years
|
|
|
Do Over (%)
|
|
|
Contingency table
|
Yes
|
No
|
Total DmJ
|
|
Dream job: No
|
28.2
|
14.4
|
42.6
|
|
Dream job: Yes
|
28.7
|
28.7
|
57.4
|
Age & Gender:
After cleaning there are still too many 35 year old males. This
excess is likely bad survey farms.
Other demographics:
Education:
|
Education
|
Freq
|
|
Bachelor’s degree (e.g., BA, BS)
|
6332
|
|
Master’s degree (e.g., MA, MS, MEd)
|
2600
|
|
Professional degree (e.g., MD, DDS, DVM, JD)
|
742
|
|
Doctorate degree (e.g., PhD, EdD)
|
682
|
Income:
|
Income_num
|
Freq
|
|
< $29k
|
1319
|
|
$30 - 49K
|
1274
|
|
$50 - $59k
|
1240
|
|
$60 - $7k
|
1461
|
|
$75 - $99k
|
2016
|
|
$100 - $149k
|
1951
|
|
$150 - $199k
|
673
|
|
> $200k
|
422
|
Marital Status:
|
Marital Status
|
Freq
|
|
Married or domestic partnership
|
6239
|
|
Single
|
2876
|
|
Separated or Divorced
|
971
|
|
Widowed
|
234
|
Children:
|
Children
|
Freq
|
|
0
|
4072
|
|
1
|
2177
|
|
2
|
2687
|
|
3 plus
|
1384
|
Do Over:
If you could start your professional career over at the very
beginning, would you target a different career?
Do over:
|
No
|
Yes
|
Yes %
|
|
4510
|
5823
|
56.4
|
|
No
|
Yes
|
Yes %
|
|
3826
|
5050
|
56.9
|
Gender:
|
Gender
|
No
|
Yes
|
Yes %
|
|
Man
|
1965
|
2520
|
56.2
|
|
Woman
|
2514
|
3259
|
56.5
|
Age (by decade):
|
Age
|
No
|
Yes
|
Yes %
|
|
20’s
|
684
|
773
|
53.1
|
|
30’s
|
1361
|
1801
|
57.0
|
|
40’s
|
923
|
1376
|
59.9
|
|
50’s
|
851
|
1192
|
58.3
|
|
60’s
|
691
|
681
|
49.6
|
Education:
|
Education
|
No
|
Yes
|
Yes %
|
|
BachelorS
|
2639
|
3681
|
58.2
|
|
Masters
|
1211
|
1386
|
53.4
|
|
PhD & Prof
|
660
|
756
|
53.4
|
Income:
|
Income
|
No
|
Yes
|
Yes %
|
|
< $29k
|
504
|
814
|
61.8
|
|
$30 - 49K
|
467
|
803
|
63.2
|
|
$50 - $59k
|
512
|
726
|
58.6
|
|
$60 - $7k
|
644
|
814
|
55.8
|
|
$75 - $99k
|
923
|
1089
|
54.1
|
|
$100 - $149k
|
922
|
1024
|
52.6
|
|
$150 - $199k
|
324
|
345
|
51.6
|
|
> $200k
|
214
|
208
|
49.3
|
Marital Status:
|
Marital Status
|
No
|
Yes
|
Yes %
|
|
Married or domestic partnership
|
2750
|
3472
|
55.8
|
|
Separated or Divorced
|
377
|
592
|
61.1
|
|
Single
|
1263
|
1609
|
56.0
|
|
Widowed
|
100
|
134
|
57.3
|
Children:
|
Children
|
No
|
Yes
|
Yes %
|
|
0
|
1793
|
2271
|
55.9
|
|
1
|
914
|
1257
|
57.9
|
|
2
|
1177
|
1504
|
56.1
|
|
3 plus
|
615
|
766
|
55.5
|
Children & Gender:
|
Children
|
gender_3
|
No
|
Yes
|
Yes %
|
|
0
|
Man
|
754
|
961
|
56.0
|
|
0
|
Woman
|
1015
|
1277
|
55.7
|
|
1
|
Man
|
394
|
583
|
59.7
|
|
1
|
Woman
|
516
|
668
|
56.4
|
|
2
|
Man
|
549
|
675
|
55.1
|
|
2
|
Woman
|
627
|
827
|
56.9
|
|
3 plus
|
Man
|
264
|
294
|
52.7
|
|
3 plus
|
Woman
|
349
|
469
|
57.3
|
Dream Job:
Are you currently working in or towards your “dream job”?
Do over:
|
No
|
Yes
|
Yes %
|
|
4127
|
6226
|
60.1
|
|
No
|
Yes
|
Yes %
|
|
3788
|
5108
|
57.4
|
Gender:
|
Gender
|
No
|
Yes
|
Yes %
|
|
Man
|
1577
|
2914
|
64.9
|
|
Other
|
36
|
39
|
52.0
|
|
Woman
|
2514
|
3273
|
56.6
|
Age (by decade):
|
Age
|
No
|
Yes
|
Yes %
|
|
20’s
|
339
|
1118
|
76.7
|
|
30’s
|
865
|
2302
|
72.7
|
|
40’s
|
920
|
1382
|
60.0
|
|
50’s
|
1067
|
984
|
48.0
|
|
60’s
|
936
|
440
|
32.0
|
Education:
|
Education
|
No
|
Yes
|
Yes %
|
|
Bachelor’s degree (e.g., BA, BS)
|
2700
|
3629
|
57.3
|
|
Doctorate degree (e.g., PhD, EdD)
|
235
|
447
|
65.5
|
|
Master’s degree (e.g., MA, MS, MEd)
|
905
|
1695
|
65.2
|
|
Professional degree (e.g., MD, DDS, DVM, JD)
|
287
|
455
|
61.3
|
Dream job and income
|
Income
|
No
|
Yes
|
Yes %
|
|
< $29k
|
798
|
519
|
39.4
|
|
$30 - 49K
|
613
|
661
|
51.9
|
|
$50 - $59k
|
501
|
739
|
59.6
|
|
$60 - $7k
|
565
|
896
|
61.3
|
|
$75 - $99k
|
695
|
1321
|
65.5
|
|
$100 - $149k
|
638
|
1313
|
67.3
|
|
$150 - $199k
|
201
|
471
|
70.1
|
|
> $200k
|
116
|
306
|
72.5
|
Dream job and income
Marital Status:
|
Marital Status
|
No
|
Yes
|
Yes %
|
|
Married or domestic partnership
|
2341
|
3895
|
62.5
|
|
Separated or Divorced
|
538
|
433
|
44.6
|
|
Single
|
1105
|
1771
|
61.6
|
|
Widowed
|
127
|
107
|
45.7
|
Children:
|
Children
|
No
|
Yes
|
Yes %
|
|
0
|
1760
|
2310
|
56.8
|
|
1
|
773
|
1404
|
64.5
|
|
2
|
1006
|
1680
|
62.5
|
|
3 plus
|
566
|
818
|
59.1
|
Children & Gender:
|
Children
|
gender_3
|
No
|
Yes
|
Yes %
|
|
0
|
Man
|
718
|
998
|
58.2
|
|
0
|
Woman
|
1019
|
1278
|
55.6
|
|
1
|
Man
|
266
|
713
|
72.8
|
|
1
|
Woman
|
501
|
687
|
57.8
|
|
2
|
Man
|
377
|
850
|
69.3
|
|
2
|
Woman
|
626
|
830
|
57.0
|
|
3 plus
|
Man
|
212
|
346
|
62.0
|
|
3 plus
|
Woman
|
350
|
471
|
57.4
|