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Job Satisfaction of Recent Graduates in Financial Services

by Sharon A. DeVaney and Zhan (Sandy) Chen

Purdue University

Originally Posted: May 28, 2003

In a survey on job satisfaction among recent college graduates in financial planning, respondents were asked to rank such

factors as realization of expectations, company support, attitude, relationships with coworkers, and pay; the results, which

indicate that these workers are reasonably satisfied with their jobs, support a "bottom-up" theory in which individuals sum up

the positive and negative factors related to their jobs and decide how satisfied they are on that basis.

To learn about the job satisfaction of recent financial planning graduates of a large university in the Midwest, the authors

developed a survey on job satisfaction and work experience. The survey was designed to serve three purposes: First, it was

assumed that information on job satisfaction of recent financial planning graduates would benefit the financial services

industry. Second, the information from a university with an established program could serve as a benchmark for other

educational programs in financial planning. Third, the information could be used to improve the curriculum at the university.

Two social theories compete to explain what determines job satisfaction: the "bottom-up theory" and the "top-down" theory.

The bottom-up theory basically states that individuals have needs and that they will be happy if their needs are satisfied. The

sum of positive and negative effects is used to determine happiness. If the positive effects are greater than the negative

effects, individuals will judge their life as happy. In contrast, top-down theory states that there is "a global propensity to

experience things in a positive way." In other words, all individuals have a desire to be happy and this attitude will be the

major influence on their lives. Thus, feelings about job satisfaction are generated in one of two ways: from the bottom up by

adding positive effects and subtracting negative ones, or from the top down by the diffusion of one’s desire to be happy.1

Abraham H. Maslow’s hierarchical model of human needs can be used to identify the factors affecting job satisfaction. The

model states that individuals experience a hierarchy of needs, from lower level to higher level psychological needs.2

Maslow’s model can be used by individuals to develop a sense of satisfaction in their jobs if they utilize a bottom-up

perspective on job satisfaction. Safety is an example of a lower level need; it helps explain the effects of job security and pay

on job satisfaction.

Moving up the hierarchy, it can be observed that individuals also have social needs--for affection, belonging, and acceptance.

These needs affect the way that individuals interact with their coworkers and management. The highest need in Maslow’s

hierarchical model is self-actualization. Self-actualization and self-esteem are related to the sense of inner reward that some

individuals experience when doing their work. In addition, self-actualization is believed to be one of the principal factors

motivating people toward self-employment.

Some empirical evidence exists for the bottom-up theory. A study by Alfonso and Andres Sousa-Poza, for example, suggests

that job satisfaction is determined by finding a balance between work-role inputs and outputs.3 Examples of work-role inputs

include the worker’s level of education, the number of hours worked, and the type of occupation for which the worker was

trained. Examples of work-role outputs are the amount of total compensation received, the level of perceived job security, the

opportunities for advancement, the extent to which the job and work are interesting, the amount of independence and selfdirection in the work, the benefits of the work to people and society, and the quality of the relations workers have with their

colleagues and management. The Sousa-Poza study found that "having an interesting job" and "having good relations with

management" explained the largest proportion of variance in job satisfaction.

Previous Research

Demographic factors. Studies have shown that age, gender, race, and education have important effects on job satisfaction.

Older workers, for example, are more likely to be satisfied than younger workers,4 and non-Hispanic white workers are more

likely to be satisfied than minority workers.5 However, the effects of gender on job satisfaction vary with the level at which an
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individual works. A study by H. Jack Shapiro and Louis W. Stern, for example, found that professional women such as clinical

psychologists, social workers, and medical workers experienced lower levels of job satisfaction than their male counterparts.6

Among nonprofessionals, on the other hand, the reverse was true.

These differing results for job satisfaction among men and women depending on their occupational level are supported in a

study by Philip E. Varca, Garnett S. Shaffer, and Cynthia D. McCauley, who examined job satisfaction among alumni 5 years

after they had graduated from college.7 The authors found that at higher occupational levels men expressed more

satisfaction than women in terms of pay and opportunities for advancement. In addition, Charlotte Chiu found that female

lawyers had significantly lower job satisfaction than male lawyers, and that the reason for the difference was that women feel

they have fewer opportunities for promotion than men.8

Work-related factors. Factors that differentiate the work place also are likely to play a definite role in job satisfaction among

workers. For example, Joanne Miller found that job satisfaction was greater among workers in jobs that were more secure

and highly paid.9 Other influential factors include whether the individual worked full or part time, and whether they worked for

themselves (self-employed) or for someone else.

Another important component of job satisfaction is the worker’s attitude toward the job. The intrinsic rewards of a job--such as

a sense of control over one’s work and a feeling of accomplishment--are important determinants of job satisfaction. More

complex jobs generally are more mentally challenging, and when workers have various autonomous tasks in their jobs, they

tend to have more of a sense of control. Previous studies have shown that job satisfaction is negatively related to the

performance of routine tasks, and also that job satisfaction is positively related to the performance of more complex and

autonomous tasks.10

Several studies take a social approach to job satisfaction, examining the influence of supervision, management, and

coworker social support. An individual’s level of job satisfaction might be a function of personal characteristics and the

characteristics of the groups to which she or he belongs.11 The social context of work is likely to have a significant impact on

a worker’s attitude and behavior.12 Relationships with both coworkers and supervisors are important. Some studies have

shown that the better the relationship, the greater the level of job satisfaction.13

Studies in the field of consumer satisfaction have shown that consumers experience more satisfaction with a product or

service if their expectations are congruent with the experience itself.14 Applying this concept to the work experience suggests

that job satisfaction will be determined by a comparison of one’s prior expectations about the job to one’s actual experience

on the job.

After reviewing the research on job satisfaction, the authors decided that a model of job satisfaction in the financial services

industry should consist of work-related factors such as attitude, interaction with coworkers and management, pay level, and

congruency with expectations. In addition to these factors, they thought that gender should be included as well. Finally, it was

decided that the model of job satisfaction that best fit the purposes of the study reflected a bottom-up approach. The next

step was to develop a survey measuring these aspects of job satisfaction.

Method

Survey instrument. In their search for questionnaires used in previous studies on this topic, the authors located a study by

James M. Comer, Karen A. Machleit, and Rosemary Lagace on job satisfaction of industrial salespersons that used a model

much like the one they had proposed for the present study.15 The aspects of job satisfaction measured in this study were

attitude to the job, relations with fellow workers, supervision, company policy and support, pay, promotion and advancement,

and customers.

In the study by Comer and others, the statistical reliability of the measures ranged from an alpha of 0.77 to one of 0.87. The

alpha value measures how reliably or consistently a scale or index predicts the item being studied. Experts suggest that the

alpha should be 0.70 or greater, which those in the Comer study exceeded easily.16 Most of the scales in the present survey

were adapted from the Comer study as well. Minor changes in the wording of some items were made to make them more
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appropriate for a study on graduates in financial planning. In addition, measures for stress and job security were developed

for this study because such measures were not found in previous research.17

Data collection. The authors asked the university development office to provide contact information for all graduates since

the financial planning curriculum was started in the mid-1980s. They provided a list of 624 names and addresses. The

Dillman method for mailed surveys was used.18 A cover letter and survey were mailed, and three weeks later, a follow-up

letter and a second copy of the survey were sent. The purpose in conducting a second mailing is to improve the response

rate. The first mailing was sent in mid-November 2001, and the second mailing was sent the first week of December 2001.

Sample. Among the 624 survey questionnaires mailed, 25 were returned because of out-of-date addresses. Of the remaining

599 questionnaires, 211 usable responses were received, for a final response rate of 35 percent. Twenty-six graduates of the

211 who responded were not currently working. Of the 185 who were working, 53 percent were in the financial services field

and 35 percent were working in other careers such as information technology, education, sales, services, and so forth.

Graduates were asked to indicate whether they worked in financial planning, financial counseling or other careers in financial

services. Of the 111 who were in financial services, 26 percent were financial planners, 5 percent were financial counselors,

and 69 percent were in a variety of other fields. Of those working in other fields, the largest number were working in

investment firms, followed in order by banking, insurance firms, pension and retirement planning services, accounting and

tax, and real estate. Sixty percent worked for firms with 500 or more employees in their total work force.

Demographics. The 111 graduates who were working in financial services were relatively young, with more than two-thirds

(68 percent) younger than 35. In addition, a little more than half were women (57 percent), and nearly three-quarters (73

percent) were married. About two-thirds of those who were married had a spouse working full time, and 14 percent had a

spouse working part time. Because the amount of personal income is often left unanswered on surveys, this survey asked,

"What is your annual household income?" The results were as follows: 14 percent received less than $50,000 per year, 36

percent received between $50,000 and $100,000 per year, 29 percent received between $100,000 and $150,000 per year,

and 21 percent received more than $150,000 per year.

Measurement. The responses to the statements about job satisfaction could range from 1.0, Strongly Disagree, to 7.0,

Strongly Agree. The responses were summed and averaged because there were different numbers of questions in the

sections of the survey. If the questions were stated from a negative perspective, they were reverse scored.

The four original statements from the study by Comer and others were used to measure Attitude toward the job.19 The

average score for the Attitude scale was 5.83, and the median was 6.0. The following statements were given to the

respondents to measure their Attitude toward the job: • My work gives me a sense of accomplishment • My job is exciting

• My work is satisfying

• I’m really doing something worthwhile in my job.

The section on Pay included statements adapted from the Comer study.20 The average score for the scale on Pay was 4.61

out of 7.0, with a median of 4.66. The respondents were given the following statements regarding pay: • My pay is low compared with what others get for similar work. (Reverse coded.) • I am highly paid. • In my opinion, my pay is lower than those with a similar education and work background. (Reverse coded.)

The section on Stress included the following statements21: • My job is stressful. • My job often requires me to work extra hours.

The average score for Stress section was 5.19 out of 7.0, and the median was 5.5.
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The statements on Job Security were developed for this study.22 The average score for Job Security was 5.30 out of 7.0, and

the median was 5.66. The statements were as follows: • My job provides me with a good sense of security. • My job is stable. • I worry about losing my job. (Reverse coded.)

The section on Fellow Workers included original statements from the Comer study.23 The average score for this scale on

Fellow Workers was 5.60 out of 7.0, and the median was 6.0. The statements were as follows: • My fellow workers are selfish. (Reverse coded.) • The people I work with are very friendly. • The people I work with help each other out when someone falls behind or gets in a tight spot. • My fellow workers are pleasant.

The section on Company Policy and Support included statements adapted from the Comer study.24 The average score for

Company Policy and Support was 4.86 out of 7.0, and the median was 5.0. The statements were as follows: • Management is progressive. • Top management really knows its job. • The company operates efficiently and smoothly. • Employees in my company receive good support from top management.

The section on Promotion included original statements from the Comer study.25 The average score for Promotion was 4.7 out

of 7.0, and the median was 4.63. The statements were as follows: • My opportunities for advancement are limited. (Reverse coded.) • I have a good chance for promotion. • My company has an unfair promotion policy. (Reverse coded.) • There are plenty of good jobs in my company for those who want to get ahead.

The section on Realization of Expectation includes only one statement: "Overall, compared with what I expected, my current

job is (1.0, much worse than expected, to 7.0, much better than expected)." The average score was 5.16 out of 7.0, and the

median was 5.0. Table 1 presents the measures of these job related variables.

Results Of Regression On Job Satisfaction

After coding the responses and examining the average scores for each aspect of the job, an Ordinary Least Squares (OLS)

regression was conducted, using job satisfaction as the dependent variable. A multivariate regression allows the investigator

to assess the relationship between a dependent variable (job satisfaction) and several independent variables, such as

demographics and work-related factors.26

Statements were developed by the authors to measure the dependent variable, job satisfaction.27 The responses could

range from 1, extremely dissatisfied, to 7, extremely satisfied. The average score was 5.71 out of 7, and the median was 6.0.

The statements are as follows: • Considering my job as a whole, I am ____________ with my current job. • How satisfied are you in your current main job?

The results of the multivariate regression on job satisfaction are shown in Table 2. The results show that realization of

expectation, company support, attitude, relations with fellow workers, pay, and gender were significant determinants of job

satisfaction. Four factors in the regression analysis were not significantly related to job satisfaction: job security, opportunity

for promotion, age of the graduate, and stress.
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Realization of Expectation was a highly significant predictor of job satisfaction. The results suggest that if graduates obtain

positions that are consistent with their expectations, they will be more satisfied, all other factors being equal. The results

support the recommendations to graduates and other job seekers to find a position that is the "best fit." Furthermore, it

emphasizes the importance of planning for career mobility.

Graduates should continue to increase their skills and gain experience if they are working in a position that is not their

desired position. Recent graduates often realize that their first or second job is not exactly what they wanted, but if they

improve their skills and seek additional opportunities, they generally are more likely to realize their expectations. The results

also support the consumer satisfaction research that compares the expectations of an experience with the experience itself.

Satisfaction is greater if there is congruency between the expectation and the experience.28

Attitude toward the job was another highly significant predictor of job satisfaction. The results of the survey were similar to

those of previous research showing that having a sense of control, a feeling of accomplishment, and a complex job contribute

to an individual’s positive attitude toward the job.29 This supports the bottom-up theory in which the individual is assumed to

measure work role outputs and sum up the positive and negative factors to determine whether he or she is happy.

The positive results for Company Support and relations with Fellow Workers reinforce both the bottom-up theory and

Maslow’s model of hierarchical needs.30 Each of these results was consistent with previous research.31 Further, the results

emphasize to employers and students how much workers value both the support of management and having good

relationships with their fellow workers.

As expected, Pay was an important determinant of job satisfaction. This supports previous research, such as the study by

Joanne Miller cited earlier.32 However, it is important to note that the statements that measure pay focus on the individual’s

pay relative to others and relative to the demands of the job. The value for Pay was not a measure of the amount that the

individual is paid. For example, M. Fritz called attention to the fact that 85 percent of planners reported earning less than

$150,000 before taxes.33

As shown in Table 2, the parameter estimate for "male" was negative, indicating that compared with female graduates, male

graduates were less satisfied with their jobs in financial services. This result was somewhat surprising because previous

research has shown that male professionals were more satisfied than female professionals. It would be interesting to

replicate the survey with recent graduates in other professional occupations to see if the results for gender are similar to

those reported here.

In summary, the average of 5.71 on a 7-point scale indicates that the graduates were fairly "satisfied," with their jobs,

although they were not "extremely satisfied." Overall, there was support for the bottom-up theory of job satisfaction. In

essence, individuals sum up the positive and negative factors and decide whether they are satisfied.

The survey also included questions on the importance of various skills needed in their jobs, the rating of college courses, and

open-ended questions asking for suggestions for changes in the curriculum. Graduates rated verbal communication as the

most important skill in performing their job, but the scores on other skills such as quantitative skills and analytical thinking

were very close. A course in investments was rated as the most useful course, followed closely by courses in retirement

planning and employee benefits, and risk management. Many graduates suggested that additional course work in marketing

would be helpful, and that students should participate in internships and attempt to learn as much as possible about the

opportunities in the financial services industry before graduating.

Finally, the survey was designed to be a broad measurement of job satisfaction. There may be some constructs relative to

job satisfaction that should have been included, but were omitted because there was a lack of previous research on that

topic. Future research should consider if there are other measures of satisfaction that need to be included.

Sharon A. DeVaney

Associate Professor, Consumer Sciences and Retailing, Purdue University.

Telephone: 765-494-8300; E-mail: sdevaney@purdue.edu
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Zhan (Sandy) Chen

Ph.D. candidate, Consumer Sciences and Retailing, Purdue University.

Telephone: 765-494-8300; chenz@purdue.edu

Notes

1 Ed Diener, Eunkook M. Suh, Richard E. Lucas, and Heidi L. Smith, "Subjective Well-being: Three Decades of Progress," Psychology

Bulletin, March 1999, pp. 276-302.

2 Abraham H. Maslow, Motivation and Personality, (New York, Harper and Brothers, 1954).

3 Alfonso Sousa-Poza and Andres A. Sousa-Poza, "Well-being at Work: A Cross-National Analysis of the Levels and Determinants of Job

Satisfaction," The Journal of Socio-Economics, December 2000, pp. 517-538.

4 Arne L. Kalleberg and Karyn A. Loscocco, "Aging, Values, and Rewards: Explaining Age Differences in Job Satisfaction," American

Sociological Review, February 1983, pp. 78-90.

5 See Glenn Firebaugh and Brian Harley, "Trends in Job Satisfaction in the United States by Race, Gender, and Type of Occupation," 

Research in the Sociology of Work, 1995, pp. 87-104; and Amy S. Wharton, Thomas Rotolo, and Sharon R. Bird, "Social Context at Work: A

Multilevel Analysis of Job Satisfaction," Sociological Forum, March 2000, pp. 65-87.

6 H. Jack Shapiro and Louis W. Stern, "Job Satisfaction: Male and Female, Professional and Non-professional Workers," Personnel Journal, July 1975, pp. 388-407.

7 Philip E. Varca, Garnett S. Shaffer, and Cynthia D. McCauley, "Gender Differences in Job Satisfaction Revisited," Academy of Management

Journal, June 1983, pp. 348-53.

8 Charlotte Chiu, "Do Professional Women Have Lower Job Satisfaction than Professional Men? Lawyers as a Case Study," Sex Roles, April

1998, pp. 521-37.

9 Joanne Miller, "Individual and Occupational Determinants of Job Satisfaction," Work and Occupations, August 1980, pp. 337-66.

10 See Gary Blau, "Testing the Longitudinal Impact of Work Variables and Performance Appraisal Satisfaction On Subsequent Overall Job

Satisfaction," Human Relations, August 1999, pp. 1099-1113; Arne L. Kalleberg and Larry Griffin, "Positional Sources of Inequality in Job

Satisfaction," Work and Occupations, November 1978, pp. 371-401; and Joanne Miller, "Occupational Determinants."

11 See Peter M. Blau and W. Richard Scott, Formal Organizations, (San Francisco, Chandler Publishing Company, 1962); Richard T. Mowday

and Robert I. Sutton, "Organizational Behavior: Linking Individuals and Groups to Organizational Context," Annual Review of Psychology, 1993, pp. 195-229; Jeffrey Pfeffer, "Organizational Demography," Research in Organizational Behavior, 1983, pp. 299-357; and Amy Wharton

and others, "Social Context at Work."

12 See Stephen R. Marks, "Intimacy in the Public Realm: The Case of Coworkers," Social Forces, March 1994, pp. 843-58; and Amy S.

Wharton and James N. Baron, "Satisfaction? The Psychological Impact of Sex Segregation on Women at Work," The Sociological Quarterly, summer 1991, pp. 365-88; and Amy S. Wharton and James N. Baron, "So Happy Together? The Impact of Sex Segregation on Men at Work," 

American Sociological Review, August 1991, pp. 547-87.

13 See Arne L. Kalleberg and Larry Griffin, "Positional Sources of Inequality"; and Sousa-Poza and Sousa-Poza, "Well-being at Work."

14 See James F. Engel, Roger D. Blackwell, and Paul W. Miniard, Consumer Behavior, 8th ed., (Orlando, The Dryden Press, 1995); and Del I.

Hawkins, Roger J. Best, and Kenneth A. Coney, Consumer Behavior: Implications for Marketing Strategy, (Homewood, Illinois, Richard D.

Irwin, Inc., 1989).

15 James M. Comer, Karen A. Machleit and Rosemary Lagace, "Psychometric Assessment of a Reduced Version of INDSALES," Journal of

Business Research, June 1989, pp. 291-302.

16 John P. Robinson, Phillip R. Shaver, and Lawrence S. Wrightsman, "Criteria for Scale Selection and Evaluation," in John P. Robinson,

Phillip R. Shaver, and Lawrence S. Wrightsman, eds. Measures of Personality and Social Psychological Attitudes (San Diego, Academic

Press, 1991).

17 Zhan Chen and Sharon A. DeVaney, "Scales for measuring job satisfaction." Working Paper, Consumer Sciences and Retailing, (West

Lafayette, IN, Purdue University, 2001).

18 Don Dillman, Mail and Telephone Surveys: The Total Design Method. (New York, John Wiley, 1978).

19 James M.Comer and others, "Psychometric Assessment."

20 Ibid.

21 Zhan Chen and Sharon A. DeVaney, "Scales for measuring job satisfaction."
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22 Ibid.

23 James M.Comer and others, "Psychometric Assessment."

24 Ibid.

25 Ibid.

26 Richard A. Johnson and Dean W. Wichern, Applied Multivariate Statistical Analysis, 3rd ed. (Englewood Cliffs, New Jersey, Prentice Hall,

1992).

27 Zhan Chen and Sharon A. DeVaney, "Scales for measuring job satisfaction."

28 See Gary Blau, "Testing the Longitudinal Impact of Work Variables"; Arne L. Kalleberg and Larry Griffin, "Positional Sources of Inequality";

and Joanne Miller, "Individual and Occupational Determinants."

29 Abraham H. Maslow, Motivation and Personality. 30 Ibid.

31 See Arne L. Kalleberg, "Work Values and Job Rewards: A Theory of Job Satisfaction," American Sociological Review, February 1977, pp.

124-43; Richard T. Mowday and Robert I. Sutton, "Organizational Behavior"; Sousa-Poza and Sousa-Poza, "Well-being at Work"; and Amy

Wharton and others, "Social Context at Work."

32 Joanne Miller, "Occupational Determinants."

33 M. Fritz, "Top $ planners earn more from fewer." Investment News, Sept. 17, 2001, p. 7.

Table 1. Measures of Job Related Variables(1)

Variable Number of

items

Reliability

alpha Mean Standarddeviation

Attitude toward the job 4 0.91 5.83 1.14

Pay 3 0.86 4.61 1.53

Stress 2 0.76 5.19 1.32

Job security 3 0.87 5.3 1.34

Fellow workers 4 0.9 5.6 1.03

Company support 4 0.9 4.87 1.34

Promotion 4 0.86 4.7 1.4

Footnotes:

(1) All items were measured on a 7-point scale from 1, Strongly disagree, to 7, Strongly agree.

Table 2. Ordinary Least Squares Regression on Job Satisfaction of Financial Planning Graduates(1)

Variables Estimate Standard Error P-value

Intercept 0.3388 0.587 0.5654

Age > 35 -0.1107 0.1793 0.5387

Male -0.524 0.172 **0.0031

Attitude toward the job 0.0949 0.0366 *0.0112

Pay 0.1262 0.0613 *0.0426

Footnotes:

(1) Survey conducted in November-December 2001 at a large university in the Midwest. R-squared = 0.69

(*) p <.05

(**) p < .01

(***) p < .001
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Variables Estimate Standard Error P-value

Stress 0.0075 0.0623 0.9048

Job security -0.0496 0.0719 0.4919

Fellow workers 0.2154 0.0928 *0.0228

Company support 0.2434 0.0762 **0.0020

Promotion 0.0451 0.0679 0.5093

Realization of expectation 0.4032 0.0802 ***<0.001

Footnotes:

(1) Survey conducted in November-December 2001 at a large university in the Midwest. R-squared = 0.69

(*) p <.05

(**) p < .01

(***) p < .001

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