statistics for the Social Sciences forum responses

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first forum:

Paula OliverWeek#5 Forum Post - Guns and Measures of Associations
Paula Oliver (Jul 7, 2016 12:55 PM) - Read by: 8Reply to This MessageReply

Hi Everyone,

My first dependent variable is; does spouse or respondent have a gun in the home? The independent variable is: does respondent or spouse hunt?  This falls under the Lambda category because both variables are nominal and establish the basis for further criteria and evaluation. 

The first charts reflect on the relationship between those who have a gun in the home and those who hunt. The value .308 which is the measure of having a gun in the home which is the measure of “have gun in home” is the DV. This means we can improve our probability of determining whether a person hunts if they own a gun by 31%. This data indicates there is a strong relationship with regards to owning a gun and hunting. This would warrant further research of data. 

The second charts, the dependent variables is “have a gun in the home”, and independent variable is the “favor or oppose gun permit”.  This falls under the Lambda category because both variables are nominal.  The data above examines the value .043 which is the measure of having a gun in the home. We can improve our guessing of owning a gun at 4% bases on favoring or opposing permits. This shows a weak relationship and an uninteresting association overall. This is one element of a larger analysis of this study.  

The third chart, the dependent variable is “have a gun in the home”, and the independent variable is “can people be trusted”.  Gamma is used because can people be trusted is an ordinal variable and having a gun in home is nominal. The value of .050 means that owning a gun would have weak association in estimating their trust in others at only 5%.    

For some reason I had trouble getting the charts into this document. Attached are my charts.

 

Second forum:

Michael ReeceMilitary service, divorce, and suicide
Michael Reece (Jul 6, 2016 1:36 PM) - Read by: 13Reply to This MessageReply

I did two measures, the first years in armed forces and ever been divorced or separated. The lambda portion of the measure shows .000 value for both variables. The same .000 was also shown for the asymptotic standard error. The approximate and approximate significance have no values assigned to them. This shows there is not association between the two variables under the lambda measure. The gamma measure shows there is a 22% chance of predicting divorce because of military service. By squaring the correlation of .078 the new measure becomes .006. With this it can understood as a .6%, or rounded up to an approximate 1%, variation for divorce because of military service. These percentages are low because not all participants, of the divorce study, are related to or having an involvement with military persons. 

The second measure was to evaluate the connection of suicide if tired of living and having been divorced or separated. Again the lambda portion of this measure show .000 value and standard error columns. No values were given for the approximate or approximate significance columns either. The lambda measure again is showing no association between these variables. Gamma measure shows a 2% chance of being able to predict suicide because of divorce. When squaring Pearson’s R that has a value of .007 the results are .000049. This is less than 1% variation for suicide because of divorce. People who commit suicide after going through a divorce has been shown in studies to already be a very low percentage already.

 Week5.docx

 

 

 

 

 

 

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