Trends in Marital Happiness by Gender and Race, 1973 to 2006 - Mamadi Corra
Within this article the dependent variable or what is trying to be explained includes:
Marital happiness amongst various race groups
The independent variables were examined on a national level and the type of method used included a General Social Survey, which is a randomly drawn nationally representative sample of English speaking adults who are at least 18 years old. The individuals selected lived in nonconstitutional areas of the United States. The analysis uses data collected from The National Opinion Research Center from 1973 to 2006 which predicts a more precise outcome of our dependent variable. The independent variable used in order for us to explain marital happiness amongst various race groups include:
Race
Gender
Work status
Education
Income
Marital status
age
Findings resulted in African American wives having the least happiness within a marriage amongst the four various groups. In such, the data indicates that White husbands have the highest mean score over time (1.65), White wives are second happiest with a mean score of 1.58, and Black husbands in third with a mean score of 1.49. Black wives had an average mean score of 1.47 making it the group that achieves the least amount of happiness within a marriage. However, figure 1 indicates that from the 1990's to the 2000's, happiness amongst Black wives has an increase and even surpasses Black husbands at times. Moreover, the findings show that race and gender each have statistically significant effects on the results. The results are also determined on the the nature and structure of the marriage which can change the quality of it over time within the United States.
Recent Changes in the Trends of Teen Birth Rates, 1981–2006 - Phyllis A. Wingo
Within this article the dependent variable or what is trying to be explained includes:
Trends in teen birth rates amongst various demographics
The independent variables were examined using a combination of birth certificate data and joinpoint regression to examine the various trends in teen birth rates by age (10 –14, 15–17, and 18 –19 years) and race during 1981–2006 and by age and Hispanic origin during 1990 –2006. The statistical method includes a measurement of the number of live births per every 1000 females. The independent variables used in order for us to explain trends in teen birth rates amongst various demographics include:
Race
Age
Gender
Hispanic origin
Demographic
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