MDM_bias_measurement


 * Measurement Bias**

-Occurs when information collected for a study is incorrect -Information can be incorrect through unclear questions and majority of a group being surveyed -Measurement bias can occur from data collectors, data managers, data analysts, data interpreters -Each have their own job, but no one is perfect and mistakes can be made -They can provide measurement bias through the following ways

**Data Collector**: Unclear questions leading to inaccurate responses or surveying more of one group then another Data Manager ** : Inaccurate answers which bring program errors Data Analyst ** : Programming errors carried down from the manager Data Interpreters ** : Misunderstanding of the relations being studied As you can see when one part of the chain is broken it causes the other parts of the chain to change, thus leading to measurement bias. Example ** :

-You are doing a survey on hair color -The question is which hair color is the best -You only survey blonde haired people -The results will most likely show majority choosing blonde because its theirs -This causes the data manager to put in inaccurate data -The analyst will see inaccurate result -Causing measurement bias  Is measurement bias avoidable? ** It is impossible to totally take out measurement bias simply because a person is always influenced by what they think society expects from them or any other pressure they feel (e.g. A person doing a poll for the cancer society will not condole cancer in any way). Final Thoughts ** : -Measurement bias can come from misunderstanding a question - Choosing who to survey can cause measurement bias - It can be minimized but not eliminated - Feelings can create measurement bias - Atmosphere can create measurement bias By: Josh F, Greg D, Kelsen M

Work Sited ** : Bias in Measurement, Annenberg Media. Retrieved October 26, 2009 from [] Research Bias, University of Illinois. Retrieved October 26, 2009 from [|http://tigger.uic.edu/~lwbenn/jacswcourses/socw360/week14.htm] Evaluating the impact of statistically significant measurement bias, American Public Health Association. Retrieved October 26, 2009 from [] Measurement Bias, London School of Hygiene & Tropical Medicine, Univerity of London. Retrieved October 26, 2009 from []