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Research Methods Week 9 UTK

by: Lauren Jones

Research Methods Week 9 UTK Pols 201

Lauren Jones
GPA 3.88

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About this Document

This covers last week! Happy Easter to those who celebrate:)
Research Methods in Political Science
Adam Eckerd
Class Notes
Pols 201, research methods
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This 3 page Class Notes was uploaded by Lauren Jones on Monday March 28, 2016. The Class Notes belongs to Pols 201 at University of Tennessee - Knoxville taught by Adam Eckerd in Winter 2016. Since its upload, it has received 39 views. For similar materials see Research Methods in Political Science in Political Science at University of Tennessee - Knoxville.


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Date Created: 03/28/16
3.22  We have a bias towards not collecting our own data  Doing Survey’s hard to get o How to identify these data sets  Larger cities have lots of information  Federal Policy o o Lots of Data o Icpsr  Look for secondary data first, if you can’t find it, how do we collect our data o You have to clean the data set  Missing Data o Reported it, typed wrong o There will be missing data o It is difficult to measure with others data, cause it was measured for other purposes for your purpose Make life a little SWEETER with 3.24.2016  Mean gets pulled depending on tails  Measures of Central Tendency o Mode o Median o Mean  Choice depends upon level of measurement  Mode o Most frequently occurring value in a distribution  You can have more than one mode  Nominal-level variables  Median o The middle case of a distribution  Sort your distribution  Median, shows the middle ground  Mean o Appropriate for interval and ratio level variables  Nominal o Mode:yes o No other things  Ordinal o Mode and Median  Use mean rarely  Interval o Rarely use the mode  But median and mean are good’  Shape of Distribution o In symmetrical distribution, the mode, median, and mean have identical values  Mean is influenced heavily by out liar  Research Objective o Choice of reported central tendecncy depends on the level of precision required  Mean is a very stable measure  Measures of Diipersion o The mean doesn’t tell us a whole lot  Range o Difference between highest and lowest  Quartiles o Midpoints between range values and the median  First quartile  Median of observations between the dataset’s minimum value and its overall median  Second quartile  The overall median  Third quartile  Median of observations between te overall median and max value  Fourth Wuartile  Max value  Five number summary  Measure the box plot with min, max, first quartile, third quartile, median o What box plot shows, 25% are between certain points  Deviation o Distance of any given raw score from its mean  Both how far any observation from the mean and whether it is larger or smaller than the mean o Tells how far an individual movement is from the mean  Spread is how far a individual obsesrvation is from the mean  Knowing how spred out deviation is  The average deviation that everyone issum of squares  Variance o How far they are on average from that mean  Standard Deviation  Meaning o How do we interpret  Average variability of a distribution  Average deviations from the mean o The greater the variability the larger the standard deviation  Allows for comparision between a given raw score in a set against a standardized measure o “Margin of error”  Split int in half, standard deviation and normal curve  Comparing Measures of Variability o Range is simple but unreliable  Five numbers to describe something o Standard deviation  Reflects the effect of all scores  Requires data at the interval data 


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