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Author Topic: Fear of statistics in IO Psychology  (Read 3249 times)

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gramercy

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Fear of statistics in IO Psychology
« on: July 21, 2009, 02:47:37 PM »
I am thinking of doing my PHD in I-O Psychology but am intimidated by the statistics content as I have heard you need to be very comfortable in working with statistics - I have also noticed a large statistics content in the university programs.

How difficult is the statistics aspect? I think I can handle basic statistics but this is a weak area of mine and I am not sure I can handle complex/high level statistics. Thanks
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Dr. Sarah

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Re: Fear of statistics in IO Psychology
« Reply #1 on: July 23, 2009, 02:51:59 PM »
The statistics and methodology used in I-O practice are not the same as that used in Engineering.  Quantitative and Qualitative analysis are concentration areas you'll need to focus in, which includes testing.   Reliability and validity must be assessed conceptually and mathematically.  Stability over repeated measures of the same test can be assessed with the Pearson correlation coefficient, and is often called test-retest reliability.  It is a dreaded activity, but necessary to your potential success in I-O.  But you won't use it eternally and you don't need to keep statistical methods perpetually at your fingertips - depending on your employment.
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gramercy

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Re: Fear of statistics in IO Psychology
« Reply #2 on: August 11, 2009, 05:20:00 AM »
Thank you Sarah for clarifying that.
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tsrobinson115

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Re: Fear of statistics in IO Psychology
« Reply #3 on: August 21, 2009, 01:09:46 AM »
Many thanks to ur post. I love it.


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Kara

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Re: Fear of statistics in IO Psychology
« Reply #4 on: September 29, 2009, 03:24:41 PM »
Statistics often seems 'scary', and although learning it may seem like a daunting task, with the right professor and mindset, you can (as crazy as it sounds) learn to love statistics.

In general, when compared to other fields in the social sciences and humanities, I/O psychology involves more complex statistical analyses and procedures. After all, studying constructs relating to human behavior and work performance are not simply problems with simple solutions. In my program (applied masters), the statistics we covered were very similar to those studied in undergrad. If you feel the need to refresh, there are many websites out there. For doctoral programs, more complex models are necessary. Now that I have a better appreciation for the field (and all the topics studied), I actually plan on pursuing my doctorate so that I will learn more complex statistical theories- among other reasons to pursue this degree.

Simply put, statistics helps up to make sense of many complex phenomena, it 'objectifies' the world. And I personally, wish to better understand and make sense of the world we live in.
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