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NACADA Conference Session 90. Looking for Job Satisfaction in Distance Advising Brighton Brooks Tyann Cherry Lisa Haas Heidi Marshall Ann Sukalac. Session Overview. Introduction Review of the Literature Methodology Results Discussion Questions. Introduction. Presenters
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NACADA ConferenceSession 90 Looking for Job Satisfaction in Distance Advising Brighton Brooks Tyann Cherry Lisa Haas Heidi Marshall Ann Sukalac
Session Overview • Introduction • Review of the Literature • Methodology • Results • Discussion • Questions
Introduction Presenters Background to the study
Presenters • Brighton Brooks, Academic Advisor, University of Alaska, Fairbanks • Tyann Cherry, Senior Academic Advisor Webster University • Lisa Haas, Dean of Students, American Intercontinental University Online • Heidi Marshall, Dissertation Editor, Walden University • Ann Sukalac, Academic Advisor, Linfield College
Job Satisfaction Literature Review
Why It is Important • Related to job turnover • More absenteeism • Lower performance • Consistency • Direct connection with students so their satisfaction can be related to the service they provide (Beyth-Marom, Gorodeisky, Bar-Haim, Godder, 2006).
How a Person Feels about their job • "an individual's reaction to the job experience” (Berry, 1997) • Pay • Promotion • Co-workers • Supervisor • Work conditions • Work/life balance • Safety • Productivity • Work itself • (Similar to Herzberg’s Motivation-Hygiene theory) (Yip, Goldman, Martin, n.d.; Barry, Bozeman & Gaughan, 2011)
Herzberg’s Motivation-Hygiene Theory (Two Factor Theory) Factors for Satisfaction Factors for Dissatisfaction Company policies Supervision Relationship with supervisor and peers Work conditions Salary Status Security • Achievement • Recognition • The work itself • Responsibility • Advancement • Growth
Theories Based on Want • Discrepancy theory—(Locke)-difference between what someone wants and needs • Hypothesis theory (Bandura)-perceive they want what others around them want
Donnelly’s Research in Job Satisfaction in Academic Advisors (2004) • Job satisfaction ratings differed different aspects of job • Connection between the use of standards and job satisfaction • Advisors identified other variables that account for job satisfaction • Aspects such as working with students and colleagues more satisfying • Pay, benefits, and other non-student related areas decreased job satisfaction
Job Satisfaction in Distance • Distance education instructors are dissatisfied because of the lack of recognition (Lee, 2001) • Can result from role ambiguity, work overload, role conflict, burnout, career advancement (Tull, 2006) • Telecommuting or working from home may lead to increased job satisfaction (Fan Ng, 2006)
Methodology Survey tool Participants Analytical methods
Distance Advising by Years on the Job • No startling revelations; 70-87% of respondents from 0-15+ years on the job were Very or Mostly satisfied overall with their current job • No apparent trend regarding percentage of time spent advising by distance • General positive relationship between Age of advisor and Years on the Job… • Except advisors of 3-5 years!
Distance Advising by Years on the Job • Salary increase rated #1 for improving job satisfaction across all categories • 7% feel Very Well compensated • 48% feel Fairly compensated • 42% feel Inadequately compensated • 2.5% feel Not At All compensated • Small positive relationship between years on the job and feeling Very Well compensated & corresponding negative relationship with feeling Inadequately compensated
Distance Advising by Years on the Job • Advising Resources available at work may help • Small positive relationship (82-92% range) between reported resources offered and years on the job • Similar positive relationship (74-90% range) between finding value in resources offered and years on the job
Distance Advising by Years on the Job • Regarding Modality of advising… • 8% of respondents <3 years on the job used live chat Very or Pretty Frequently (compared to 4.5% of all respondents) • Frequency not necessarily related to Satisfaction of using those same modalities • Most do not use live chat (67%), informational mediums (80%), and social networking (68%) or do not know what they are, regardless of years on the job
Results Dissatisfaction v. satisfaction
Dissatisfied advisors spend more time advising at a distance • Of the satisfied advisors, 78% of respondents spend less than 50% of their time advising at a distance. • Of the dissatisfied advisors, 58.62% of respondents spend less than 50% of their time advising at a distance.
Dissatisfied advisors spend slightly more time advising by email than in-person compared to satisfied advisors, but indicated greater satisfaction when advising in-person. • Responses from both groups indicated that fewer than 20% use chat, podcast/blog, or social networking to advise, and fewer than 10% indicated satisfaction with these same tools.
Although both groups indicated their preferred method of advising as in-person, dissatisfied advisors indicated a higher preference for all other types of advising compared to satisfied advisors in this order: email, phone, live chat, podcast/blog, social networking. • Area for further study: Would increasing access to and support for these technologies increase the satisfaction of those advisors who are currently dissatisfied?
Compared to satisfied advisors, dissatisfied advisors indicated: • Higher level of concern about confidentiality advising at a distance • Higher level of concern about the effectiveness of advising at a distance • Responses from both groups indicated acknowledgement that distance advising is a necessary component of the advising profession, but all respondents indicated some level of agreement that distance lacks adequate communication components to fully advise students
Other Significant Observations Between Dissatisfied and Satisfied Advisors • Both groups selected autonomy and the quality of interaction with students as higher indicators of satisfaction than communication with a supervisor or peers. • Both groups indicated the majority of distance advising is conducted via e-mail with phone a close second. • Dissatisfied advisors indicated slightly higher use of alternative technologies (41.38% compared to 34.09%) and slightly higher desire for more support for distance advising (58.62% compared to 42.94% when excluding desire for increased salary). • Both groups indicated a more favorable view of social networking compared to other technologies (media sharing, cloud computing, podcasting, blogs, microblogs, and wikis).
Results Technology Adopters
Satisfaction in Advising Students - Chat Technology Adopters, regardless of the technology adopted, tend to be more satisfied using Chat technology than their non-adoptive counterparts
Satisfaction in Advising Students -Twitter The same holds true for microblogging and SNS
Satisfaction in Advising Students -Informational While the margins slim somewhat for technology adopters against their non-adoptive counterparts in the informational section they still hold close to a 20% greater satisfaction rate.
Favorable Attitudes Toward Technology Overall technology adopters have significantly stronger favorable attitudes toward technologies we surveyed than their non-adoptive counterparts.
Observations • This entire sample is very small compared to the entire survey • Use of one technology appears to greatly impact weather or not a group has used another technology • Satisfaction with use of technology appears to increase if the group is also using another technology
Strongly Agree – Somewhat Agree While Technology Adopters are almost equal in confidence in their abilities to advise at a distance as their non-adoptive counterparts they are more likely to be confident that their distance advising rivals f2f and that they are not failing to address key components
Implications? • If it does hold true that adoption of one technology into advising leads to greater satisfaction and easier adoption, how does NACADA help? • How do we measure student satisfaction with technology based advising?
References • Barry Bozeman and Monica Gaughan. "Job Satisfaction among University Faculty: Individual, Work, and Institutional Determinants." The Journal of Higher Education 82.2 (2011): 154-186. Project MUSE. Web. 11 Apr. 2011. <http://muse.jhu.edu/>. • Beyth-Marom, R., Harpaz-Gorodeisky, G., Bar-Haim, A., & Goder, E. (2006). Identification, Motivation and Job Satisfaction among Tutors at the Open University of Israel. The International Review Of Research In Open And Distance Learning, 7(2), Article 7.2.2. Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/302/617 • Donnelly, N. (2006). The effect of standards use on academic advisor job satisfaction. NACADA Journal (24). Retrieved from http://www.nacada.ksu.edu/journal/index.htm • Fan Ng, C. (2006). Academic telecommuting in open and distance education universities: issues, challenges, and opportunities. The International Review of Research in Open and Distance Learning. Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/300/632 • Herzberg, F. 1968, "One more time: how do you motivate employees?", Harvard Business Review, vol. 46, iss. 1, pp. 53–62. • Lee, J. (2001). Instructional support for distance education and faculty motivation, commitment, satisfaction. British Journal of Educational Technology, 32(2), 153. Retrieved from EBSCOhost. • Tull, A. (2006). Synergistic supervision, job satisfaction, and in intention to turnout of new professional in student affairs. Journal of College Student Development, vol. 9.4, pp. 465-480 • Berry, Lilly M. (1997). Psychology at Work. San Francisco: McGraw Hill Companies Inc. • Yip, P.M., Goldman, A., Martin, A. L. (n.d.) Job satisfaction. University of Arizona. Retrieved from http://www.u.arizona.edu/~ctaylor/chapter9/jobsat.html