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	<title>Comments on: The Psychology of Away Messages</title>
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	<link>http://mprcenter.org/blog/2009/11/23/the-psychology-of-away-messages/</link>
	<description>The psychology of technology and emerging media</description>
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		<title>By: law</title>
		<link>http://mprcenter.org/blog/2009/11/23/the-psychology-of-away-messages/comment-page-1/#comment-791</link>
		<dc:creator>law</dc:creator>
		<pubDate>Fri, 08 Jan 2010 01:01:55 +0000</pubDate>
		<guid isPermaLink="false">http://mprcenter.org/blog/?p=491#comment-791</guid>
		<description>Hai, i am an Psychology undergraduate  at (UTAR). I am conducting a research  regarding job stress and job satisfaction for the completion of my final year project.
  
For your information, I utilize Occupational Stress Inventory Revised Edition (OSI-R) which was developed by Osipow in 1998 as the instrument for job stress. There are three dimensions in OSI-R which are Occupational Roles Questionnaire 
(ORQ), Personal Strain Questionnaire (PSQ), and the Personal Resources Questionnaire (PRQ).  For my research, I only use ORQ. 
  
The scales that include in ORQ are Role Overload (RO), Role Insufficiency (RI), Role Ambiguity (RA), Role Boundary (RB), Responsibility (R), and Physical Environment (PE). The ORQ consists of 60 items as each of the scale comprised of ten items. Each of the items is range by using 5 point Likert scale. The scale is from 1 to 5 which represent rarely or never, occasionally, usually, often, and most of the time. 
  
According to the manual, high T score indicates significant levels of job stress. Below is the T score and  its indication on the level of job stress.  
 
      T score                  Level of job stress 
       ?70                    Maladaptive 
       60 to 69              Mild maladaptive     
       40 to 59              Normal level 
       &lt;40                    Absence of job stress 
  
According to the manual, the mean is 50 and the standard deviation is 10.  

Curently, I already collect the respondent data and key in in SPSS. However, the problem that I face now is difficulty in analyze the data. I dont know how to set the T-score (e.g 70 indicates maladaptive stress) in SPSS. I really hope that you can guide me on how to set  that in spss. I really need your help very much and I sincerely appreciate your help. 
   
I would like to say thousand of thanks to you at here. 
 
Thank you very much. 
  
Have a nice day.</description>
		<content:encoded><![CDATA[<p>Hai, i am an Psychology undergraduate  at (UTAR). I am conducting a research  regarding job stress and job satisfaction for the completion of my final year project.</p>
<p>For your information, I utilize Occupational Stress Inventory Revised Edition (OSI-R) which was developed by Osipow in 1998 as the instrument for job stress. There are three dimensions in OSI-R which are Occupational Roles Questionnaire<br />
(ORQ), Personal Strain Questionnaire (PSQ), and the Personal Resources Questionnaire (PRQ).  For my research, I only use ORQ. </p>
<p>The scales that include in ORQ are Role Overload (RO), Role Insufficiency (RI), Role Ambiguity (RA), Role Boundary (RB), Responsibility (R), and Physical Environment (PE). The ORQ consists of 60 items as each of the scale comprised of ten items. Each of the items is range by using 5 point Likert scale. The scale is from 1 to 5 which represent rarely or never, occasionally, usually, often, and most of the time. </p>
<p>According to the manual, high T score indicates significant levels of job stress. Below is the T score and  its indication on the level of job stress.  </p>
<p>      T score                  Level of job stress<br />
       ?70                    Maladaptive<br />
       60 to 69              Mild maladaptive<br />
       40 to 59              Normal level<br />
       &lt;40                    Absence of job stress </p>
<p>According to the manual, the mean is 50 and the standard deviation is 10.  </p>
<p>Curently, I already collect the respondent data and key in in SPSS. However, the problem that I face now is difficulty in analyze the data. I dont know how to set the T-score (e.g 70 indicates maladaptive stress) in SPSS. I really hope that you can guide me on how to set  that in spss. I really need your help very much and I sincerely appreciate your help. </p>
<p>I would like to say thousand of thanks to you at here. </p>
<p>Thank you very much. </p>
<p>Have a nice day.</p>
]]></content:encoded>
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	<item>
		<title>By: jenny</title>
		<link>http://mprcenter.org/blog/2009/11/23/the-psychology-of-away-messages/comment-page-1/#comment-789</link>
		<dc:creator>jenny</dc:creator>
		<pubDate>Thu, 31 Dec 2009 06:38:43 +0000</pubDate>
		<guid isPermaLink="false">http://mprcenter.org/blog/?p=491#comment-789</guid>
		<description>yea completely agree/</description>
		<content:encoded><![CDATA[<p>yea completely agree/</p>
]]></content:encoded>
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		<title>By: Take the Chat-Status Personality Test</title>
		<link>http://mprcenter.org/blog/2009/11/23/the-psychology-of-away-messages/comment-page-1/#comment-786</link>
		<dc:creator>Take the Chat-Status Personality Test</dc:creator>
		<pubDate>Mon, 21 Dec 2009 18:19:14 +0000</pubDate>
		<guid isPermaLink="false">http://mprcenter.org/blog/?p=491#comment-786</guid>
		<description>[...] &#8220;Away messages vary &#8230; depending upon whether the chat account is used for business or personal, but all messages display shades of personality,&#8221; Rutledge contends. [...]</description>
		<content:encoded><![CDATA[<p>[...] &#8220;Away messages vary &#8230; depending upon whether the chat account is used for business or personal, but all messages display shades of personality,&#8221; Rutledge contends. [...]</p>
]]></content:encoded>
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	<item>
		<title>By: Dr. Pamela Rutledge</title>
		<link>http://mprcenter.org/blog/2009/11/23/the-psychology-of-away-messages/comment-page-1/#comment-753</link>
		<dc:creator>Dr. Pamela Rutledge</dc:creator>
		<pubDate>Sun, 29 Nov 2009 18:53:07 +0000</pubDate>
		<guid isPermaLink="false">http://mprcenter.org/blog/?p=491#comment-753</guid>
		<description>Thanks for the comment!  It&#039;s always interesting to look at all the little ways we show parts of ourselves.</description>
		<content:encoded><![CDATA[<p>Thanks for the comment!  It&#8217;s always interesting to look at all the little ways we show parts of ourselves.</p>
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