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	<web>http://www.sociology.org/content/vol001.001/berg.html</web>
	<title>Professional and Technical Moonlighters</title> 
	<abstract>
	  <p>This paper reviews some of the literature on multiple
	  job holders to set the stage for reporting the results of an
	  exploratory study conducted on the Internet involving
	  "moonlighters."  The foci of this research were to compare:
	  1) the Usenet sample demographically with the previously
	  conducted United States Department of Labor survey, 2) the
	  reasons professional, managerial and technical personnel
	  moonlight with the reasons given by the general working
	  population of the United States, 3) the order of reasons
	  given by women and given by men, and 4) the order of reasons
	  given by the foreign portion of the sample with those given
	  by the United States respondents.  The methodology is also
	  of interest, being one of the first surveys completed using
	  random Usenet groups.
</p>
	</abstract>
	<availability>Copyright 1994 Electronic Journal of Sociology</availability>
</description>
      <author>
	<name><first>Mauri</first><last>Collins</last></name>
	<address>
	  <organisation>The Pennsylvania State University</organisation></address></author>
      <author>
	<name><first>Zane</first><last>Berge</last></name> 
	<address>
	  <email>berge@guvax.georgetown.edu</email>
         <organisation>Georgetown University</organisation>
	</address>
      </author>
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	<web>http://www.sociology.org/</web>
        <title>Electronic Journal of Sociology</title>
	<idno type="issn">1198 3655</idno>
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      <publisher>
	<name><full>Athabasca University</full></name>
	<address><street>1 University Drive</street><city>Athabasca</city>
	  <province>Alberta</province><postalcode>SOG OWO</postalcode>
	  <email>mikes@athabascau.ca</email>
	</address>
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      <description>
	<web>http://www.sociology.org/content/vol001.001/</web>
	<date><year>1994</year></date>                 
	<idno type="VOL">1.1</idno>                    
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<body>

<p>What time is it?  Oh, 8 PM and time to get ready for work again.
 Tonight it is  another overnight shift as house counsellor at a
psycho-social rehabilitation facility. I  hope for ten reasonably quiet
hours, perhaps with all the clients asleep. Once medications  are
monitored and charts done and the clients settled down, maybe I can
snooze a little...  providing the fire alarm doesn't go off or clients'
voices don't persuade them to do  something self-destructive. I'll be
back here on Saturday to work a "twenty-four" (a shift  from 8 AM on
Saturday morning until I am relieved at 8 AM on Sunday).</p>

<p>Saturdays
are reasonably easy and I usually bring my portable computer and, using
the  data/fax line, log into the mainframe computer at the university to
run statistical  procedures. They are necessary to complete my part of
the latest in the series of research  studies I have been hired to help
with this semester. Every weekday afternoon I work for 4  hours at the
university library teaching faculty and staff how to use desktop and
mainframe  computers. One evening a week I teach a freshman introductory
class in Criminal Justice.</p>

<p>All this activity puts me firmly in
the ranks of the multiple job holders, a rapidly  expanding section of
the job market. Conforming to the stereotype of multiple job holders 
(Jamal, 1988), I work multiple
part-time jobs as a matter of financial necessity and would  much prefer
to have one full-time, full-benefits job.</p>

<h2>BACKGROUND</h2>

<p>
This paper will review some of the literature on multiple job holders to
set the stage  for reporting the results of an exploratory study of
"moonlighters."  While moonlighters  represent approximately 5 percent
of the total working population in the United States
(Stinson, 1990),  Jamal 
(1986) notes that there is a great deal of expense and difficulty 
involved in drawing a large enough sample from the general working
population to include  sufficient moonlighters willing to provide
information. In an attempt to overcome this  difficulty, we chose Usenet
which provides a low cost solution with potentially high access  to
enough moonlighters to yield a "snapshot" of their characteristics.</p>

<p>
At the time of this survey, our site subscribed to approximately 1200
different  groups.  The survey document was posted to a ten percent
random sample of these groups.  
</p>

<h3>What is Usenet?</h3>

<p>The Usenet electronic bulletin
board system was organized into over 1600  "newsgroups" at the time of
this survey.  Each newsgroup is devoted to the discussion of a  single
topic which ranges from sex to supercomputers, human to machine
languages, pets to  poetry, culture to computer architecture.  These
groups are open to all who have the  technological resources (computer,
modem, network availability) to access them.  The  newsgroup format has
been likened to talk radio, with many "listeners" and relatively few 
vocal contributors.  Some groups are moderated to ensure that the
subject matter is  restricted to its chartered topic, and to ensure that
the participants remain relatively  civil to one another.  Most groups
are not moderated and anyone can send a  message.  However, group
members are quick to negatively sanction those who post messages on
topics  outside the realm of their particular group.</p>

<p>These 
newsgroups exist in the physical network of thousands of computers world
wide  that are tied together by fibre optic cable, phone line, and
satellite. The original  networks were created to enable scientists and
researchers working at remote locations to  access databases, software,
and computer resources and to facilitate scholarly  communication.  Very
early in the process it became evident that electronic mail was the 
most heavily used feature of these scholarly networks, as users expanded
the range of their  discussions beyond work to social discourse.</p>

<p>Sites,
which include educational, government, military, or commercial
organizations,  can subscribe to all, a selection, or none of the
newsgroups, usually at the discretion of  the site administrator.  The
working definition of Usenet for the purposes of this research  is "an
informal, rather anarchic, group of systems that exchange 'news'" 
(Krol, 1992: 363).  There is no way
of estimating how many people read newsgroups every day. However, at 
the time of this survey, total volume of traffic on all the newsgroups
regularly exceeded  20 megabytes (about 60,000 double-spaced pages) of
information flow per day in over 1600  newsgroups. In May 1994 it is
estimated that there are 180,000 Usenet sites in the entire  net, with
over 21 million user accounts. The number of users and newsgroups
increase  daily.</p>

<h3>Research Questions</h3>
<ol>
<li>How does this Usenet sample compare on some demographic variables
with a previously  conducted United States Department of Labor survey?
</li>
<li>Do professional, managerial, and technical personnel responding to
this survey moon- light for the same reasons as a sample drawn from the
general working population of  the United States?</li>
<li>In this sample, is there a difference in the order of reasons for
moonlighting given  by women than is given by men?
</li>
<li>Is there a difference in the order of reasons given by the foreign
portion of the  sample than is given by the United States respondents?
</li>
</ol>
<h2>LITERATURE REVIEW</h2>

<p>When the Bureau of Labor Statistics
(Stinson, 1990)  asked supplementary questions concerning multiple job
holders on their Current Population Survey in May 1989, they  defined a
multiple job holder as an employed person who:</p>
<ol>
<li>had a job as a wage and salary worker with two employers or more,
or,
</li>
<li>was self-employed and held a wage or salary job, or, 
</li>
<li>worked as an unpaid family worker on the primary job, but also had
a secondary wage  or salary job.</li>
</ol>
<p>The primary job is defined as the one at which the individual
worked the greatest number of  hours.</p>

<p>In the United States, multiple
job holders account for about 7.2 million jobs in our  contemporary
economy with a 26 percent increase over the past 5 years and a 52
percent  increase in the past decade. The percentage of multiple job
holders in the work force has  risen from 4.9 percent in 1980, to 5.4
percent in 1985, to 6.2 percent in 1991. The number  of men who hold
more than one job has increased since 1985 by over one half million to
4.1  million.</p>

<p>Two-thirds of the increase of 1.5 million in
multiple job holders can be accounted  for by the sharp rise in the
number of women holding multiple jobs. A record high was  reached in May
1989 when the number of women holding multiple jobs reached 3.1 million
and  the rate at which they held multiple jobs reached 5.9 percent of
women in the work  force.</p>

<p>The highest percentages of multiple job
holding was found among the 25-34 (6.5  percent) and 35-44 (7.1 percent)
age groups. Married women were less likely to work  multiple jobs than
single women and married men were the most likely to work more than one 
job. The number of women moonlighters who were divorced, widowed or
separated stood at a  high of 7.2 percent of the working population, up
from 5.7 percent in 1985.</p>

<p>The Bureau of Labor Statistics
distinguishes between those who hold one full-time  job and one
part-time job and those who hold multiple part-time jobs. Of all
multiple job  holders 74.7 percent fit the one full-time, one part-time
category, with that number  representing 82.8 percent of the men and 64
percent of the women. Those who fit the  category of one full-time and
one or more part-time jobs will be called "moonlighters" for  the
purposes of this paper.</p>

<p>The reasons given in the Bureau of Labor
Statistics report for multiple job holding  are, first and foremost,
financial, with 44 percent of respondents citing the need to meet 
regular household expenses or to pay off incurred debts. A desire to
save for the future  (16 percent) was closely followed (15 percent) by
those who wanted experience in a  different occupation or to build up
their own business.</p>

<p>In a study of Arkansas teachers, Bell and Roach (1989) determined that teaching is,  for many, a
part-time job and that teachers lead most occupational groups in
multiple job  holding with almost 20 percent of teachers nationwide
holding second jobs.  Bell and Roach  determined that second job holding
for teachers does not refer to jobs worked when school  is not in
session but to concurrent jobs that bring the work week of many teachers
to  seventy or eighty hours. This is in sharp contrast to Jamal's remark
that "The total  workweek of moonlighters in most cases, is less than
the normal workweek of a generation  ago." (1988: 52).</p>

<p>Jamal (1986) notes the lack of systematic research on
moonlighters. He surmises this  could be for one of two reasons. First,
the number of moonlighters is relatively small and  it is expensive and
difficult to draw a large enough random sample to contain in it a 
sufficient number of moonlighters to provide accurate information. His
second reason is  that, as popular belief holds, "moonlighters are
generally socially withdrawn and  economically deprived" (p. 977).</p>

<p>
Eyler's book (1989), "The Executive
Moonlighter: Building Your Next Career Without  Leaving Your Present
Job," is addressed to white collar and management persons and stresses 
the necessity of remaining in their full-time, benefit-paying jobs while
they experiment  with second careers, either as an option for or a
supplement to their primary occupation.   Eyler sees moonlighting as an
ideal way of testing the waters for a solo business, or  acquiring new
skills and contacts as a transition step to new activities. He
recommends  that managers and executives prepare themselves for the
possibility of a second career in  an era of corporate downsizing and
transnational capital flight.</p>

<p>In a 1983 article, Fraser points
out that moonlighters are increasingly white collar  workers, and while
moonlighting jobs are easy to find in a booming economy, the second job 
can lead not only to extra money but to personal growth, and renewed
belief in oneself in a  slow-growth economy.  Fraser also notes that
"moonlight has led many executives to new  careers; they test the waters
before taking the plunge" (p. 53).
</p>

<h2>METHODOLOGY</h2>

<p>A questionnaire was developed which was sent
(posted) to a random, 10 percent sample  of the over 1200 Usenet groups
subscribed to by the University of Nevada, Las Vegas  A list  of
newsgroups subscribed to by the university was printed out and starting
with a randomly  generated number the survey was sent to every 10th
newsgroup.</p>

<p>Usenet was chosen for its convenient accessibility.
 While it is impossible to know  the number of persons who are reached
by the full range of newsgroups, it was estimated to  be in excess of
one half million persons world-wide at the time of this survey, with
many  persons reading multiple newsgroups.  Most persons have access to
the networks carrying  Usenet through their work so this presented
potential access to a large, international  group of workers. It was
hoped that this would provide a sufficient sample of  moonlighters.</p>

<p>
Subscribers to Usenet groups are those who have access to a networked
computer and  whose site subscribes to Usenet groups. For the most part
these sites in the United States  are businesses, military
installations, government or educational institutions. A  reasonable
expectation is that these persons would be employed in white collar
occupations,  be of above average education and income, and be
predominantly male.  From personal  observation, we have noticed that
university faculty, staff, and computer professionals  hold skills that
are often rare in the general population, and they are frequently sought 
out to perform specialized tasks beyond their job descriptions.</p>

<p>
Respondents to the survey can be characterized as a purposive and
self-selected  sample of those who had access to Usenet, read one or
more of the ten percent sample of  newsgroups surveyed, and had the
technology and technical ability to respond.</p>

<p>Electronic survey
turn-around time is often counted in hours. The first response was 
received within 2 hours of the questionnaire being transmitted and
approximately 65 percent  of the responses were received in the first
three days.  One hundred and nineteen complete  and usable surveys were
returned over a period of two and a half weeks.</p>

<p>The researcher
sent a "thank you" reply to each respondent and followed up by asking 
them their opinion of being surveyed via electronic mail. The most
frequent response from  academics involved the question of sampling
error as there was no possible way to determine  how many persons
actually received the survey. Those who did respond with completed
surveys  were very positive in their approach and helpful. Several long
and interesting e-mail  conversations ensued with various respondents, a
situation unusual, if not impossible with  the respondents to regular
mail surveys. This frequently allowed the elaboration of answers  and
exploration of topics beyond those on the survey itself.</p>

<p>When
messages are replied to, they include the name and electronic mail
address of  the sender. This raises issues of confidentiality as it is
possible to determine  immediately the name and location of the sender. 
A "reply" command will, in most  electronic mail systems, format a
response that is already addressed to the sender.  When  sending out the
"thank you" notes it became evident that a number of respondents had
found  ways to "fake" their address so that the notes came back with the
notation "user not known  on this system." A quick check indicated that
the responses were within the expected  values. They had just found
their own way to confidentiality. Three respondents chose to  print out
the questionnaire, remove all identifying lines and then post-office
mail the  surveys back. One respondent, an employee of a foreign
national government, responded  electronically, and specificity
requested anonymity.</p>

<p>The survey also generated a vociferous 
and verbally abusive protest.  These  messages, known as flames, were
directed to the researcher and to the local Usenet site  administrator.
His first inclination was to immediately suspend the researcher's
Internet  access privileges.  However, permission to conduct the survey
had been previously obtained  from a senior member of the Academic
Computing Center's administration.  Angry respondents,  many of them
readers of technically oriented groups, were alarmed with the notion of 
"student" social researchers loose on the networks.  They objected to
the sanctity of their  newsgroup's boundaries being transgressed by a
non-member of the group, especially a  stranger presenting a survey on
their screen.  Several list moderators sent back the survey  without
posting it, often with a standard, dispassionate note that indicated
that the  message was "off-topic" and perhaps belonged on another group.
</p>

<p>	Because the original sample list had been printed
alphabetically, many lists having  the same general topic and,
therefore, overlapping readership, were clustered together.  This would
mean some persons saw the survey two or three times. Those who did
appear to  have become angrier each time.  The researcher early
discovered that it was not wise to  respond to those who were "flaming"
her. Instead she merely noted that approximately 20  percent of the
total response to this survey were angry demands to cease and desist.  
Further research is indicated to investigate the vehemence of the
protests and the sense of  "private space being invaded" that pervaded
the angry responses.</p>

<h2>RESULTS</h2>

<p>The response to this
survey indicates the international audience that was reached  via
Usenet.  The majority of respondents were from the United States, but
eleven other  countries are also represented (Table 1).</p>


<table cellspacing=0 cellpadding=0 width="60%" align=center>
<caption>TABLE ONE - RESPONDENTS BY COUNTRY</caption>
<tbody>

<tr><th></th><th>Frequency</th><th>Percent</th></tr>

<tr><th>US</th>
<td char="." align="CENTER">90</td>
<td char="." align="CENTER">75.6</td></tr>

<tr><th>Canada</th>
<td char="." align="CENTER">5</td>
<td char="." align="CENTER">4.2</td></tr>

<tr><th>Australia</th>
<td char="." align="CENTER">7</td>
<td char="." align="CENTER">5.9</td></tr>

<tr><th>England</th>
<td char="." align="CENTER">1</td>
<td char="." align="CENTER">0.8</td></tr>

<tr><th>Switzerland</th>
<td char="." align="CENTER">2</td>
<td char="." align="CENTER">1.7</td></tr>

<tr><th>New Zealand</th>
<td char="." align="CENTER">1</td>
<td char="." align="CENTER">0.8</td></tr>

<tr><th>South Africa</th>
<td char="." align="CENTER">2</td>
<td char="." align="CENTER">1.7</td></tr>

<tr><th>Finland</th>
<td char="." align="CENTER">1</td>
<td char="." align="CENTER">0.8</td></tr>

<tr><th>Sweden</th>
<td char="." align="CENTER">2</td>
<td char="." align="CENTER">1.7</td></tr>

<tr><th>Scotland</th>
<td char="." align="CENTER">3</td>
<td char="." align="CENTER">2.5</td></tr>

<tr><th>Norway</th>
<td char="." align="CENTER">1</td>
<td char="." align="CENTER">0.8</td></tr>

<tr><th>Estonia
</th>

<td char="." align="CENTER">4
</td>

<td char="." align="CENTER">3.4
</td></tr>

<tr><th>Total</th>

<th>119</th>

<th>100.0</th></tr>
</tbody>
</table>

<p>The larger proportion (81.5 percent, n=97) of the
respondents were male, with 18.5  percent (n=22) being female. The mean
age of respondents is 32.64 years with a range from  19 to 62 years,
with women (mean = 35.72) being a little older than the men (mean =
31.94).   Most moonlighters are found in the 25 to 34 age group 
(Table 2). The average educational 
level is high with 77.8 percent of respondents having a Bachelor's
degree or higher. Women  showed slightly more education than men 
(Table 3).  Respondents from outside
the United  States and Canada showed marginally higher education levels
(see last two columns in Table  3).</p>

<p></p>

<table cellspacing=0 cellpadding=0 width="60%" align=center>
<caption>TABLE TWO - AGE OF RESPONDENTS</caption>
<tbody>

<tr><th></th>

<th>Total</th>

<th>Men</th>

<th>Women</th></tr>

<tr>
<td colspan=1></td>

<td char="." align="CENTER">n=119</td>

<td char="." align="CENTER">n=97</td>

<td char="." align="CENTER">n=22</td></tr>

<tr><th>Under 24</th>

<td char="." align="CENTER">15.5</td>

<td char="." align="CENTER">14.3</td>

<td char="." align="CENTER">14.3</td></tr>

<tr><th>25-34</th>

<td char="." align="CENTER">56.7</td>

<td char="." align="CENTER">57.1</td>

<td char="." align="CENTER">59.1</td></tr>

<tr><th>35-44</th>

<td char="." align="CENTER">23.7</td>

<td char="." align="CENTER">21.8</td>

<td char="." align="CENTER">13.6</td></tr>

<tr><th>45 and over
</th>

<td char="." align="CENTER">4.1
</td>

<td char="." align="CENTER">6.7
</td>

<td char="." align="CENTER">18.2 
</td></tr>

<tr><th>Total</th>

<th>100%</th>

<th>100%</th>

<th>100%</th></tr></tbody>
</table>


<p></p>
<table cellspacing=0 cellpadding=0 width="70%" align=center>
<caption>TABLE THREE - EDUCATION LEVEL OF RESPONDENTS</caption>
<tbody>

<tr><th></th>

<th>Total</th>

<th>Men</th>

<th>Women</th>

<th>US/Can</th>

<th>Other</th></tr>

<tr><td></td>

<td char="." align="CENTER">n=119</td>

<td char="." align="CENTER">n=97</td>

<td char="." align="CENTER">n=22</td>

<td char="." align="CENTER">n=95</td>

<td char="." align="CENTER">n=23</td></tr>

<tr><th>High School/<br>
Some College</th>

<td char="." align="CENTER">22.2</td>

<td char="." align="CENTER">25.2</td>

<td char="." align="CENTER">9.0</td>

<td char="." align="CENTER">24.5</td>

<td char="." align="CENTER">13.0</td></tr>

<tr><th>Bachelor's</th>

<td char="." align="CENTER">38.5</td>

<td char="." align="CENTER">40.0</td>

<td char="." align="CENTER">31.8</td>

<td char="." align="CENTER">40.4</td>

<td char="." align="CENTER">30.4</td></tr>

<tr><th>Master's</th>

<td char="." align="CENTER">25.6</td>

<td char="." align="CENTER">22.1</td>

<td char="." align="CENTER">40.9</td>

<td char="." align="CENTER">23.4</td>

<td char="." align="CENTER">34.8</td></tr>

<tr><th>Ph.D.</th>

<td char="." align="CENTER">13.7</td>

<td char="." align="CENTER">12.6</td>

<td char="." align="CENTER">18.2</td>

<td char="." align="CENTER">11.7</td>

<td char="." align="CENTER">21.7</td></tr></tbody>
</table>


<p>Income levels are also high
(Table 4)  with men earning somewhat
more than women.   There are obvious difficulties in trying to compare
income across national boundaries.   These involve the conversion of
other currencies into US dollars and the relativity of  income to
standard of living. Overseas, dollar amounts in earnings considerably
lower than  those in the US can frequently purchase a comparable or
higher standard of living.  While  US and Canadian incomes appear higher
than those overseas (last two columns of Table 4),  interpretation of
this finding is problematical.</p>

<table cellspacing=0 cellpadding=0 width="70%" align=center>
<caption>TABLE FOUR - RESPONDENT'S INCOME</caption>
<tbody>

<tr><th>Income/month</th>

<th>Total</th>

<th>Men</th>

<th>Women</th>

<th>US/Can</th>

<th>Other</th></tr>

<tr><th></th>

<td char="." align="CENTER">n=119</td>

<td char="." align="CENTER">n=97</td>

<td char="." align="CENTER">n=22</td>

<td char="." align="CENTER">n=95</td>

<td char="." align="CENTER">n=23</td></tr>

<tr><th>&lt; $1K</th>

<td char="." align="CENTER">1.9%</td>

<td char="." align="CENTER">1.1</td>

<td char="." align="CENTER">5.0</td>

<td char="." align="CENTER">1.1</td>

<td char="." align="CENTER">6.3</td></tr>

<tr><th>$1001 - 1500</th>

<td char="." align="CENTER">18.7</td>

<td char="." align="CENTER">13.8</td>

<td char="." align="CENTER">40.0</td>

<td char="." align="CENTER">17.6</td>

<td char="." align="CENTER">25.0</td></tr>

<tr><th>$1501 - 2K</th>

<td char="." align="CENTER">15.0</td>

<td char="." align="CENTER">13.8</td>

<td char="." align="CENTER">20.0</td>

<td char="." align="CENTER">11.0</td>

<td char="." align="CENTER">37.5</td></tr>

<tr><th>$2001 - 2500</th>

<td char="." align="CENTER">13.1</td>

<td char="." align="CENTER">16.1</td>

<td char="." align="CENTER">10.0</td>

<td char="." align="CENTER">13.2</td>

<td char="." align="CENTER">12.5</td></tr>

<tr><th>$2501 - 3K</th>

<td char="." align="CENTER">12.1</td>

<td char="." align="CENTER">12.6</td>

<td char="." align="CENTER">0.0</td>

<td char="." align="CENTER">13.2</td>

<td char="." align="CENTER">6.3</td></tr>

<tr><th>$3001 - 4K</th>

<td char="." align="CENTER">17.8</td>

<td char="." align="CENTER">18.4</td>

<td char="." align="CENTER">15.0</td>

<td char="." align="CENTER">19.8</td>

<td char="." align="CENTER">6.3</td></tr>

<tr><th>$4K - 5K</th>

<td char="." align="CENTER">11.2</td>

<td char="." align="CENTER">11.5</td>

<td char="." align="CENTER">10.0</td>

<td char="." align="CENTER">12.1</td>

<td char="." align="CENTER">6.3</td></tr>

<tr><th>&gt; $5K</th>

<td char="." align="CENTER">10.3</td>

<td char="." align="CENTER">12.6</td>

<td char="." align="CENTER">0.0</td>

<td char="." align="CENTER">12.1</td>

<td char="." align="CENTER">0.0</td></tr>
</tbody>
</table>


<p>Hours worked on their primary
job averages over 35 per week for both men and women 
(Table 5), and both men and women work
the same mean number of jobs (2.45) (Table 6).  Most of the respondents receive benefits from their primary
employer. They work an average of  2.45 jobs with hours worked on second
and third jobs averaging 11-15 hours per week.  Most  of the respondents
(n=77) work in the field for which they were trained. Respondents are 
more likely to be married than single, however more women (31.8 percent)
are divorced than  men (12.6 percent) (Table 7).</p>


<table cellspacing=0 cellpadding=0 width="60%" align=center>
<caption>TABLE FIVE - HOURS WORKED AT PRIMARY JOB</caption>
<tbody>
<tr><th></th>
<td align=center>Total</td>
<td align=center>Men</td>
<td align=center>Women</td></tr>
<tr><td></td>
<td align=center>
n=119</td>
<td align=center>n=97</td>
<td align=center>n=22</td></tr>
<tr><th>&lt; 10 hours</th>
<td char="." align="CENTER">.8%</td>
<td char="." align="CENTER">1.0</td>
<td char="." align="CENTER">0.0</td></tr>
<tr><th>11-20</th>
<td char="." align="CENTER">1.7</td>
<td char="." align="CENTER">1.0</td>
<td char="." align="CENTER">4.5</td></tr>
<tr><th>21-30</th>
<td char="." align="CENTER">5.9</td>
<td char="." align="CENTER">4.1</td>
<td char="." align="CENTER">13.6</td></tr>
<tr><th>31-40</th>
<td char="." align="CENTER">38.7</td>
<td char="." align="CENTER">34.0</td>
<td char="." align="CENTER">59.1</td></tr>
<tr><th>&gt; 41 hours</th>
<td char="." align="CENTER">52.9</td>
<td char="." align="CENTER">59.0</td>
<td char="." align="CENTER">22.7</td></tr></tbody>
</table>
<p></p>

<table cellspacing=0 cellpadding=0 width="350" align=center>
<caption>TABLE SIX</caption>
<tbody>
<tr>
<td colspan=4>NUMBER OF JOBS WORKED</td></tr>
<tr><th></th>
<th>Total</th>
<th>Men</th>
<th>Women</th></tr>
<tr><td></td>
<td char="." align="CENTER">n=119</td>
<td char="." align="CENTER">n=97</td>
<td char="." align="CENTER">n=22</td></tr>
<tr><th>2</th>
<td char="." align="CENTER">66.4%</td>
<td char="." align="CENTER">67.0</td>
<td char="." align="CENTER">63.6</td></tr>
<tr><th>3</th>
<td char="." align="CENTER">24.4</td>
<td char="." align="CENTER">23.7</td>
<td char="." align="CENTER">27.3</td></tr>
<tr><th>4</th>
<td char="." align="CENTER">7.6</td>
<td char="." align="CENTER">7.2</td>
<td char="." align="CENTER">9.1</td></tr>
<tr><th>5</th>
<td char="." align="CENTER">.8</td>
<td char="." align="CENTER">1.0</td>
<td char="." align="CENTER">0.0</td></tr>
<tr><th>6
</th>
<td char="." align="CENTER">.8
</td>
<td char="." align="CENTER">1.0
</td>
<td char="." align="CENTER">0.0 
</td></tr>
<tr><th>mean</th>
<td char="." align="CENTER">2.45</td>
<td char="." align="CENTER">2.45</td>
<td char="." align="CENTER">2.46</td></tr>
<tr><th>SD</th>
<td char="." align="CENTER">.76</td>
<td char="." align="CENTER">.76</td>
<td char="." align="CENTER">.67</td></tr></tbody>
</table>
<p></p>


<table cellspacing=0 cellpadding=0 width="350" align=center >
<caption>TABLE SEVEN - MARITAL STATUS</caption>
<tbody>
<tr><th></th>
<th>Total</th>
<th>Men</th>
<td char="." align="CENTER">Women</td></tr>
<tr><td></td>
<td char="." align="CENTER">n=119</td>
<td char="." align="CENTER">n=97</td>
<td char="." align="CENTER">n=22</td></tr>
<tr><th>Single/ Never married</th>
<td char="." align="CENTER">36.1</td>
<td char="." align="CENTER">39.2</td>
<td char="." align="CENTER">22.7</td></tr>
<tr><th>Married</th>
<td char="." align="CENTER">47.9</td>
<td char="." align="CENTER">49.5</td>
<td char="." align="CENTER">40.9</td></tr>
<tr><th>Separated</th>
<td char="." align="CENTER">2.5</td>
<td char="." align="CENTER">3.1</td>
<td char="." align="CENTER">0.0</td></tr>
<tr><th>Divorced</th>
<td char="." align="CENTER">12.6</td>
<td char="." align="CENTER">8.2</td>
<td char="." align="CENTER">31.8</td></tr>
<tr><th>Widowed</th>
<td char="." align="CENTER">0.8</td>
<td char="." align="CENTER">0.0</td>
<td char="." align="CENTER">4.5</td></tr>
</tbody>
</table>

<p>As can be seen from Table 8 the most frequently cited reason for moonlighting by  this Usenet sample
was the desire to use existing skills. This was followed by  needing the
 extra money and after that, a desire to provide service to others.
Twenty-two respondents  would prefer to be able to work just one
full-time job. Finally only 6 respondents are  required to work second
or third jobs by their primary employer (this is often the case for 
public relations reasons or as part of a university's mission to serve
their community).</p>


<table cellspacing=0 cellpadding=0 width="500" align=center>
<caption>TABLE EIGHT - REASONS FOR MOONLIGHTING: WHOLE SAMPLE</caption>
<tbody>
<tr>
<th align=left>Reasons: In Rank Order</th>
<th align=left>
% of <br>
Responses</th>
<th align=left>% of <br>Cases</th></tr>
<tr>
<th align=left>To use my existing skills</th>
<td char="." align="CENTER">69</td>
<td char="." align="CENTER">16.4</td>
<td char="." align="CENTER">59</td></tr>
<tr>
<th align=left>Because I need the extra money</th>
<td char="." align="CENTER">65</td>
<td char="." align="CENTER">15.4</td>
<td char="." align="CENTER">56</td></tr>
<tr>
<th align=left>To provide <br>
service to others</th>
<td char="." align="CENTER">53</td>
<td char="." align="CENTER">12.6</td>
<td char="." align="CENTER">45</td></tr>
<tr>
<th align=left>Because it pays well</th>
<td char="." align="CENTER">50</td>
<td char="." align="CENTER">11.9</td>
<td char="." align="CENTER">43</td></tr>
<tr>
<th align=left>To gain additional skills</th>
<td char="." align="CENTER">49</td>
<td char="." align="CENTER">11.6</td>
<td char="." align="CENTER">42</td></tr>
<tr>
<th align=left>Working p-t suits my schedule</th>
<td char="." align="CENTER">35</td>
<td char="." align="CENTER">8.3</td>
<td char="." align="CENTER">30</td></tr>
<tr>
<th align=left>Changing career fields</th>
<td char="." align="CENTER">35</td>
<td char="." align="CENTER">8.3</td>
<td char="." align="CENTER">30</td></tr>
<tr>
<th align=left>Because I was asked to</th>
<td char="." align="CENTER">25</td>
<td char="." align="CENTER">5.9</td>
<td char="." align="CENTER">21</td></tr>
<tr>
<th align=left>I would prefer one f/t job</th>
<td char="." align="CENTER">22</td>
<td char="." align="CENTER">5.2</td>
<td char="." align="CENTER">19</td></tr>
<tr>
<th align=left>To get benefits</th>
<td char="." align="CENTER">12</td>
<td char="." align="CENTER">2.9</td>
<td char="." align="CENTER">10</td></tr>
<tr>
<th align=left>Required by primary job</th>
<td char="." align="CENTER">6
</td>
<td char="." align="CENTER">1.4
</td>
<td char="." align="CENTER">5 
</td></tr>
<tr>
<th align=left>Total responses</th>
<td char="." align="CENTER">421</td>
<td char="." align="CENTER">100.0</td>
<td char="." align="CENTER">359.8</td></tr>
</tbody>
</table>

<p>No category was supplied for "saving for the future" nor was
that included by  respondents in the write-in "other" category. Other
responses offered in this category are  shown in Table 9.</p>

<p></p>

<table cellspacing=0 cellpadding=0 width="70%" align=center>
<caption>TABLE NINE - OTHER REASONS FOR MOONLIGHTING</caption>
<tbody>

<tr><th></th>
<th>Responses</th></tr>
<tr>
<th align=left>Enjoy moonlighting work</th>
<td char="." align="CENTER">13</td></tr>
<tr>
<th align=left>Establish own company/business</th>
<td char="." align="CENTER">9</td></tr>
<tr>
<th align=left>Relieves boredom at primary job</th>
<td char="." align="CENTER">6</td></tr>
<tr>
<th align=left>Owe too much money, need to work</th>
<td char="." align="CENTER">6</td></tr>
<tr>
<th align=left>Extra money for 'toys' hobbies etc</th>
<td char="." align="CENTER">4</td></tr>
<tr>
<th align=left>Change from primary job/avoid burnout</th>
<td char="." align="CENTER">3</td></tr>
<tr>
<th align=left>To be someone, own boss</th>
<td char="." align="CENTER">3</td></tr>
<tr>
<th align=left>To further primary career</th>
<td char="." align="CENTER">2</td></tr>
<tr>
<th align=left>Hate their primary job</th>
<td char="." align="CENTER">2</td></tr>
<tr>
<th align=left>Workaholic</th>
<td char="." align="CENTER">1</td></tr>
<tr>
<th align=left>Like to travel with moonlighting job</th>
<td char="." align="CENTER">1</td></tr>
<tr>
<th align=left>Looking for more challenge</th>
<td char="." align="CENTER">1</td></tr>
<tr>
<th align=left>Lets computer be a tax write-off</th>
<td char="." align="CENTER">1</td></tr>
<tr>
<th align=left>Diversifying for job security</th>
<td char="." align="CENTER">1</td></tr>
<tr>
<th align=left>Spouse could only find part time work</th>
<td char="." align="CENTER">1</td></tr></tbody>
</table>


<p>Only five persons cited the need to reduce personal debt load.
Many of the respondents  indicate non-financial reasons, which are
likely to come under the rubric of personal  growth and development.</p>

<p>
Table 10 compares reasons for moonlighting between men and women, and 
Table 11 compares United States and non-US responses for reasons to moonlight.</p>


<table cellspacing=0 cellpadding=0 width="70%" align=center>
<caption>TABLE TEN - REASONS FOR MOONLIGHTING - MEN AND WOMEN</caption>
<tbody>

<tr>
<th align=left></th>
<th align=center>Men</th>
<th align=center>Women</th>
<th align=center>Rank</th></tr>
<tr><th></th>
<td char="." align="CENTER">n=97</td>
<td char="." align="CENTER">n=22</td>
<td></td></tr>
<tr>
<th align=left>To use my existing my skills</th>
<td char="." align="CENTER">16.0%</td>
<td char="." align="CENTER">11.7</td>
<td char="." align="CENTER">2</td></tr>
<tr>
<th align=left>Because I need the extra money</th>
<td char="." align="CENTER">14.3</td>
<td char="." align="CENTER">20.8</td>
<td char="." align="CENTER">1</td></tr>
<tr>
<th align=left>To provide service to others</th>
<td char="." align="CENTER">13.2</td>
<td char="." align="CENTER">9.7</td>
<td char="." align="CENTER">4</td></tr>
<tr>
<th align=left>Because it pays well</th>
<td char="." align="CENTER">12.3</td>
<td char="." align="CENTER">9.7</td>
<td char="." align="CENTER">4</td></tr>
<tr>
<th align=left>To gain additional skills</th>
<td char="." align="CENTER">11.7</td>
<td char="." align="CENTER">11.1</td>
<td char="." align="CENTER">3</td></tr>
<tr>
<th align=left>Working p-t suits my schedule</th>
<td char="." align="CENTER">9.7</td>
<td char="." align="CENTER">1.4</td>
<td char="." align="CENTER">10</td></tr>
<tr>
<th align=left>Changing career fields</th>
<td char="." align="CENTER">8.0</td>
<td char="." align="CENTER">9.7</td>
<td char="." align="CENTER">4</td></tr>
<tr>
<th align=left>Because I was asked to</th>
<td char="." align="CENTER">5.4</td>
<td char="." align="CENTER">8.3</td>
<td char="." align="CENTER">7</td></tr>
<tr>
<th align=left>I would prefer one full-time job</th>
<td char="." align="CENTER">4.6</td>
<td char="." align="CENTER">8.3</td>
<td char="." align="CENTER">7</td></tr>
<tr>
<th align=left>To get benefits</th>
<td char="." align="CENTER">2.9</td>
<td char="." align="CENTER">2.8</td>
<td char="." align="CENTER">9</td></tr>
<tr>
<th align=left>Primary job requires it</th>
<td char="." align="CENTER">1.7</td>
<td char="." align="CENTER">0.0</td>
<td char="." align="CENTER">11</td></tr></tbody>
</table>
<p></p>

<table cellspacing=0 cellpadding=0 width="60%" align=center>
<caption>TABLE ELEVEN - REASONS FOR MOONLIGHTING - US. VS. FOREIGN</caption>
<tbody>

<tr>
<th align=left></th>
<th>US</th>
<th>Foreign</th>
<th>Rank</th></tr>
<tr>
<td colspan=2></td>
<td char="." align="CENTER">n=90</td>
<td char="." align="CENTER">n=39</td></tr>
<tr>
<th align=left>Because I need the extra money</th>
<td char="." align="CENTER">16.5%</td>
<td char="." align="CENTER">12.3</td>
<td char="." align="CENTER">4</td></tr>
<tr>
<th align=left>To use my existing skills</th>
<td char="." align="CENTER">15.2</td>
<td char="." align="CENTER">19.8</td>
<td char="." align="CENTER">1</td></tr>
<tr>
<th align=left>Because it pays well</th>
<td char="." align="CENTER">13.0</td>
<td char="." align="CENTER">8.5</td>
<td char="." align="CENTER">5</td></tr>
<tr>
<th align=left>To provide service to others</th>
<td char="." align="CENTER">12.1</td>
<td char="." align="CENTER">14.2</td>
<td char="." align="CENTER">2</td></tr>
<tr>
<th align=left>To gain additional skills</th>
<td char="." align="CENTER">11.1</td>
<td char="." align="CENTER">13.2</td>
<td char="." align="CENTER">3</td></tr>
<tr>
<th align=left>Changing career field</th>
<td char="." align="CENTER">8.9</td>
<td char="." align="CENTER">6.6</td>
<td char="." align="CENTER">8</td></tr>
<tr>
<th align=left>Working p-t suits my schedule</th>
<td char="." align="CENTER">8.6</td>
<td char="." align="CENTER">7.5</td>
<td char="." align="CENTER">7</td></tr>
<tr>
<th align=left>Would prefer one full-time job</th>
<td char="." align="CENTER">6.0</td>
<td char="." align="CENTER">2.8</td>
<td char="." align="CENTER">10</td></tr>
<tr>
<th align=left>Because I was asked to</th>
<td char="." align="CENTER">5.1</td>
<td char="." align="CENTER">8.5</td>
<td char="." align="CENTER">5</td></tr>
<tr>
<th align=left>To get benefits</th>
<td char="." align="CENTER">2.5</td>
<td char="." align="CENTER">3.8</td>
<td char="." align="CENTER">9</td></tr>
<tr>
<th align=left>Because my primary job requires it</th>
<td char="." align="CENTER">1.0</td>
<td char="." align="CENTER">2.8</td>
<td char="." align="CENTER">11</td></tr>
</tbody>
</table>


<h2>DISCUSSION</h2>

<p>
When the respondents to this survey were compared to moonlighters in the
United  States working population, the highest percentages of multiple
job holders was found were  in the 25-34 and 35-44 age groups.   Stinson
(1990) reported that women who moonlight were  much more likely than men
to work at multiple part-time jobs, and work fewer total hours on  their
multiple jobs, in the overall US population.  Looking at the results in
Tables 5 and  6, there is some evidence that this is true for the
persons responding to this survey.</p>

<p>Married men were the most
likely to moonlight in both this survey and the overall  United States
survey (Table 7). There seems to be little evidence to suggest those 
responding to this survey differed greatly from the general survey
regarding moonlighting  and marital status.</p>

<p>The literature
reviewed indicates the reasons for moonlighting in a sample drawn  from
the total United States work force are primarily financial, followed by
saving for the  future, experience in a different occupational field or
to build up a new business.  In  this survey of moonlighting workers, it
was found that, unlike a sample drawn from the  United States working
population, these respondents did not cite financial concerns as  their
primary reason for moonlighting, but emphasized the opportunity to use
existing  skills.  However, when the sample was split along gender
lines, women, who are more likely  to be divorced and to support more
children than the men, cited needing the extra money as  their primary
reason for moonlighting.</p>

<p>Moonlighters in the sample were found
to be, on average, in the higher brackets of  both education and income,
thus casting doubt on the popularly held notion that all  moonlighters
work because they are "financially deprived"  (Jamal, 1986: 977)  It was
interesting that many of the respondents appear to moonlight for the
personal satisfaction  of using their skills to provide service to
others.  If you look at men's reasons for  moonlighting, they follow
exactly the rank order of the whole sample. However, the rank  order of
reasons women give for moonlighting shows a slightly different order
than those  for men.  Women rank needing the extra money as their most
frequent reason for  moonlighting, with using existing skills second,
gaining additional skills third, providing  service to others, because
moonlighting pays well and changing careers fields tied for  fourth,
because they were asked to and preferring a full-time job ranking fifth,
to get  benefits, sixth and because working part-time fitted their
schedule, seventh.</p>

<p>When the United States respondents are
compared with those from outside the United  States there is a
difference in the ranking of their responses.  Foreign responses follow 
the full sample in ranking using existing skills as their primary reason
for moonlighting,  followed by providing service to others, then gaining
additional skills.  Needing the extra  money comes fourth in their
ranking as opposed to first among the United States  residents.</p>

<h2>LIMITATIONS</h2>

<h3>Mail Surveys</h3>

<p>While there are
considerable cost savings and the obvious appeal regarding being  able
to access a widely dispersed sample (in this case, moonlighters) using
mail surveys,  their limitations are also well documented.  Even with
well-designed questions and under  ideal conditions, the performance of
mail surveys are usually less than desired, 
 (see for example, Rossi et al., 1983;
 Goyder, 1987;  
Fowler, 1988;   Moser &amp;  Kalton, 1972).   Disadvantages include such problems
as: the ineffectiveness of mail as a way of enlisting  cooperation, the
inability to handle certain kinds of questions (e.g., open ended 
questions, questions that may be tedious or boring, "screen questions"),
inappropriateness  of use for spontaneous answers, no opportunity to
probe beyond the given answer for  clarification, and the answers can
not be treated as independent given the respondent sees  all the
questions before answering any one of them.  Another major difficulty of
mail  surveys, (compared to face-to-face interviews), is that of
obtaining a representative  sample. In this survey, the population was
defined as Usenet users. The random selection of  Usenet groups was an
attempt toward finding a representative sample within this  population.</p>

<p>
The main problem with mail surveys is non-response. "The likelihood is
that the non- respondents differ significantly from the respondents, so
that estimates based on the  latter are biased"  (Moser and Kalton,
1972: 262).  Mail questionnaires to the general  public tend to result
in an upward bias in social class composition and educational level, 
and response is correlated with interest in the subject of the survey. 
The only safe way  to deal with non-response is to reduce it to a level
sufficiently low so as to not cause  serious bias.  In this survey
methodology, there is no way to calculate response rate given  we don't
know how many persons received the questionnaire.</p>

<p>Additionally,
mail survey respondents may have more education than non-respondents 
because of the literacy requirements for filling out a survey.  In this
survey, Usenet  users are probably more literate overall than the
general population, and this may  ameliorate some of this particular
bias in respondents. (However, it may confound  comparisons between
Usenet participants and the general United States survey).</p>

<h3>Other Limitations</h3>

<p>Since this is the first time the Usenet
moonlighters were surveyed via Usenet, there  is no way to estimate
changes from one year to another (as was done with the United States 
survey).</p>

<p>The Stinson (1990)  report on moonlighting in the
general United States population  did not address the educational level
of the respondents.  To the extent that educational  level affects
moonlighting, and to the extent the Usenet population is different
regarding  education (Table 3), the comparisons between results would
not be valid.  Further research  is suggested to analyze the source data
of the United States data and, if possible, compare  results between
respondents with the same educational characteristics. The same
limitation  and recommendation is true for the income of moonlighters
between surveys Table 4 for  Income of this survey's respondents).</p>

<p>
The category "Saving for the future", determined by the Bureau of
Labour Statistics  survey as an important reason, was not included in
the choice of categories for  moonlighting in this survey.  This would
have allowed this survey to conform more exactly  to the national survey
and render the results more comparable.</p>

<p>While the survey has
been legitimated as a data collection technique, this is the  first time
we have used it for the electronic collection of information.  We
determined  that, while the standard content guidelines continued to
hold true, it was necessary to  adjust the layout to accommodate display
screens that display 22 lines down and 80 columns  across.  To ease
completion, most questions provided categories for response, which does 
limit the statistical techniques that can be used.</p>

<p>As Jamal
notes, it is difficult and expensive to draw a sufficiently large sample
to  contain enough moonlighters who will respond to a request to supply
information.  The  response to this survey was comparatively small and
in no way representative. This is  especially true of the international
portion of the sample and makes its results not  generalizable.</p>

</body>
<references>

<p>
Bell, David and Patricia B. Roach (1989) "Moonlighting: The
Economic  Reality of Teaching?"  <i>Education,</i> 110: 397-400.</p>

<p>
Eyler, David R. (1989)  <i>The Executive Moonlighter: Building
Your  Next Career Without Leaving Your Present Job.</i> New York: John 
Wiley and Sons.</p>

<p>
Fowler, F. J., Jr. (1988)  <i>Survey Research Methods</i>
(Revised  Edition). Newbury Park: Sage Publications.</p>
<p>
Fraser, Bruce W. (1983) "The Moonlight Shines On White Collars."
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</references>
</ixml>


