{"id":9032,"date":"2022-04-21T02:39:19","date_gmt":"2022-04-21T02:39:19","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/wm-introductiontosociology\/?post_type=chapter&p=9032"},"modified":"2024-04-26T03:48:03","modified_gmt":"2024-04-26T03:48:03","slug":"module-2-assignment-utilizing-secondary-research","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/wm-introductiontosociology\/chapter\/module-2-assignment-utilizing-secondary-research\/","title":{"raw":"Module 2 Assignment: Utilizing Secondary Research","rendered":"Module 2 Assignment: Utilizing Secondary Research"},"content":{"raw":"Background: <\/strong>For many sociology students (and sociologists), secondary research can seem like the most \"boring\" research method; however, as we saw with Emile Durkheim's early work on suicide using secondary data (death records), we are able to glean a great deal from utilizing existing statistical information.\r\n\r\nSTEP 1: <\/strong>Look at the bivariate (2 variable) table below. This comes from the Social Science Data Analysis Network (SSDAN)<\/a> and is comprised of data from the American Community Survey (ACS), an annual Census-like survey.\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Income<\/td>\r\nLess Than High School<\/strong><\/td>\r\nHigh School Grads<\/strong><\/td>\r\nSome College<\/strong><\/td>\r\nCollege Grads<\/strong><\/td>\r\nTotal<\/strong><\/td>\r\n<\/tr>\r\n
< 25K<\/strong><\/td>\r\n49.6%<\/td>\r\n33.1%<\/td>\r\n24.1%<\/td>\r\n10.1%<\/td>\r\n23.2%<\/td>\r\n<\/tr>\r\n
25-34K<\/strong><\/td>\r\n21.6%<\/td>\r\n21.3%<\/td>\r\n18.6%<\/td>\r\n8.2%<\/td>\r\n15.7%<\/td>\r\n<\/tr>\r\n
35-49K<\/strong><\/td>\r\n15.8%<\/td>\r\n21.4%<\/td>\r\n22.3%<\/td>\r\n16.5%<\/td>\r\n19.4%<\/td>\r\n<\/tr>\r\n
50-69K<\/strong><\/td>\r\n8.1%<\/td>\r\n14.3%<\/td>\r\n18.2%<\/td>\r\n20.4%<\/td>\r\n17.2%<\/td>\r\n<\/tr>\r\n
70-99K<\/strong><\/td>\r\n3.2%<\/td>\r\n6.7%<\/td>\r\n10.8%<\/td>\r\n19.4%<\/td>\r\n12.3%<\/td>\r\n<\/tr>\r\n
100K+<\/strong><\/td>\r\n1.7%<\/td>\r\n3.2%<\/td>\r\n6%<\/td>\r\n25.4%<\/td>\r\n12%<\/td>\r\n<\/tr>\r\n
Total<\/strong><\/td>\r\n100%<\/td>\r\n100%<\/td>\r\n100%<\/td>\r\n100%<\/td>\r\n100%<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nSTEP 2: <\/strong>Identify the independent variable <\/strong>and the dependent variable <\/strong>that could be tested based on this graph.\r\n\r\nSTEP 3: <\/strong>Summarize the bivariate table by making at least 3 TRUE statements about the variables using the data (the percentages) provided.\r\n\r\nSTEP 4: <\/strong>Use your sociological imagination<\/strong> to analyze the data. This should be a minimum of 2-3 sentences.\r\n\r\nSTEP 5: <\/strong>What policy recommendations would you make based on the data? This should be a minimum of 2-3 sentences.\r\n

Rubric<\/strong><\/h2>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Criteria<\/strong><\/td>\r\nRating<\/strong><\/td>\r\n<\/td>\r\n<\/td>\r\nPoints<\/strong><\/td>\r\n<\/tr>\r\n
Variables<\/td>\r\nCorrectly identifies possible independent and dependent variables based on the data<\/td>\r\nOnly partially identifies correct IV and DV.<\/td>\r\nDoes not correctly identify independent and dependent variables<\/td>\r\n__\/4<\/td>\r\n<\/tr>\r\n
Data summary<\/td>\r\nWrites 3 accurate statements based on the data<\/td>\r\nWrites 2 statements based on the data<\/td>\r\nWrites 1 or less statements about the data<\/td>\r\n__\/9<\/td>\r\n<\/tr>\r\n
Analysis and recommendations<\/td>\r\nAnalyzes data and makes appropriate policy recommendations<\/td>\r\nPartially analyzes data and makes appropriate policy recommendations<\/td>\r\nDoes not analyze data or make appropriate policy recommendations<\/td>\r\n__\/7<\/td>\r\n<\/tr>\r\n
<\/td>\r\n<\/td>\r\n<\/td>\r\nTotal:<\/td>\r\n__\/20<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>","rendered":"

Background: <\/strong>For many sociology students (and sociologists), secondary research can seem like the most “boring” research method; however, as we saw with Emile Durkheim’s early work on suicide using secondary data (death records), we are able to glean a great deal from utilizing existing statistical information.<\/p>\n

STEP 1: <\/strong>Look at the bivariate (2 variable) table below. This comes from the Social Science Data Analysis Network (SSDAN)<\/a> and is comprised of data from the American Community Survey (ACS), an annual Census-like survey.<\/p>\n\n\n\n\n\n\n\n\n\n\n
Income<\/td>\nLess Than High School<\/strong><\/td>\nHigh School Grads<\/strong><\/td>\nSome College<\/strong><\/td>\nCollege Grads<\/strong><\/td>\nTotal<\/strong><\/td>\n<\/tr>\n
< 25K<\/strong><\/td>\n49.6%<\/td>\n33.1%<\/td>\n24.1%<\/td>\n10.1%<\/td>\n23.2%<\/td>\n<\/tr>\n
25-34K<\/strong><\/td>\n21.6%<\/td>\n21.3%<\/td>\n18.6%<\/td>\n8.2%<\/td>\n15.7%<\/td>\n<\/tr>\n
35-49K<\/strong><\/td>\n15.8%<\/td>\n21.4%<\/td>\n22.3%<\/td>\n16.5%<\/td>\n19.4%<\/td>\n<\/tr>\n
50-69K<\/strong><\/td>\n8.1%<\/td>\n14.3%<\/td>\n18.2%<\/td>\n20.4%<\/td>\n17.2%<\/td>\n<\/tr>\n
70-99K<\/strong><\/td>\n3.2%<\/td>\n6.7%<\/td>\n10.8%<\/td>\n19.4%<\/td>\n12.3%<\/td>\n<\/tr>\n
100K+<\/strong><\/td>\n1.7%<\/td>\n3.2%<\/td>\n6%<\/td>\n25.4%<\/td>\n12%<\/td>\n<\/tr>\n
Total<\/strong><\/td>\n100%<\/td>\n100%<\/td>\n100%<\/td>\n100%<\/td>\n100%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

STEP 2: <\/strong>Identify the independent variable <\/strong>and the dependent variable <\/strong>that could be tested based on this graph.<\/p>\n

STEP 3: <\/strong>Summarize the bivariate table by making at least 3 TRUE statements about the variables using the data (the percentages) provided.<\/p>\n

STEP 4: <\/strong>Use your sociological imagination<\/strong> to analyze the data. This should be a minimum of 2-3 sentences.<\/p>\n

STEP 5: <\/strong>What policy recommendations would you make based on the data? This should be a minimum of 2-3 sentences.<\/p>\n

Rubric<\/strong><\/h2>\n\n\n\n\n\n\n\n
Criteria<\/strong><\/td>\nRating<\/strong><\/td>\n<\/td>\n<\/td>\nPoints<\/strong><\/td>\n<\/tr>\n
Variables<\/td>\nCorrectly identifies possible independent and dependent variables based on the data<\/td>\nOnly partially identifies correct IV and DV.<\/td>\nDoes not correctly identify independent and dependent variables<\/td>\n__\/4<\/td>\n<\/tr>\n
Data summary<\/td>\nWrites 3 accurate statements based on the data<\/td>\nWrites 2 statements based on the data<\/td>\nWrites 1 or less statements about the data<\/td>\n__\/9<\/td>\n<\/tr>\n
Analysis and recommendations<\/td>\nAnalyzes data and makes appropriate policy recommendations<\/td>\nPartially analyzes data and makes appropriate policy recommendations<\/td>\nDoes not analyze data or make appropriate policy recommendations<\/td>\n__\/7<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\nTotal:<\/td>\n__\/20<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\t\t\t
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Candela Citations<\/h3>\n\t\t\t\t\t
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