Exercise 2: Codebook (8 points) For this test, we'll be using data from the American National Election Survey (ANES), a survey that is held after each presidential election every four years. The survey asks a sample of US voters about their voting habits and their opinions on a variety of social and political issues. I've downloaded the 2016 ANES data, shown in the output below. Hilel Katanov Spring 2023 Dept. of Sociology 'data. frame' : 4271 obs. of 28 variables: $ case_ID : int 300001 300002 300003 300004 300006 300007 300008 300012 300018 300020 ... $ vote_2012 : Factor w/ 4 levels "Barack Obama", . .: NA 1 NA 2 1 2 1 2 2 NA . . . $ party_reg : Factor w/ 5 levels "Democrat", "Republican", . . : 2 4 NA NA NA 4 1 2 NA NA . . $ like_dem : Factor w/ 2 levels "yes", "no": 2 2 2 2 1 2 1 2 2 2 . $ like_repub : Factor w/ 2 levels "yes", "no": 1 1 2 1 1 1 2 1 2 2 ... $ last_year_better_worse: num 3 3 3 5 1 3 3 3 3 3 .. $ pol_id : int NA 5 NA NA 4 6 NA 5 4 3 $ pol_compromise Factor w/ 2 levels "Compromise", "No compromise": 2 2 1 1 2 2 1 1 1 2 ... $ sex_orientation Factor w/ 3 levels "Heterosexual", ..: 1 1 1 1 1 1 1 1 1 1 ... $ religion_importance Factor w/ 2 levels "Important", "Not important": 1 2 2 1 1 1 1 1 2 1 ... $ religious_services : Factor w/ 5 levels "Every week", "Almost every week", .. : 4 NA NA 1 2 1 4 NA 4 4 ... $ age : int 29 26 23 58 38 60 58 56 45 30 .. $ marital : Factor w/ 5 levels "Married", "Widowed", . .: 1 5 5 1 3 1 1 2 4 1 ... $ educ_level num 9 13 9 9 9 14 5 9 9 10 ... $ served_usarmy Factor w/ 2 levels "Never Served", . 1 1 1 1 1111... $ hh_union : Factor w/ 2 levels "yes", "no": 2 2 2 1 2 2 1 1 2 2 .. $ race : Factor w/ 5 levels "White", "Black", ..: 1 1 1 1 1 1 $ employment : Factor w/ 6 levels "Employed", "Unemployed", . .: 1 1 1 1 1 1 1 1 1 1 ... $ parents_born : Factor w/ 3 levels "Both US Born", . .: 1 1 1 1 1 1 3 1 1 1 .. $ kids_hs int 1020310002 ... $ feel_feminists : int 50 50 50 50 70 50 50 40 50 50 $ feel_liberals : int 50 50 50 50 70 15 85 30 15 50 ... $ feel_conservatives : int 70 60 50 50 70 50 85 40 60 50 .. . $ feel_gay : int 15 50 70 50 85 50 85 100 50 50 . .. $ feel_transgender : int 50 50 50 50 85 50 85 70 30 50 ... $ age_cat : Factor w/ 4 levels "Young Adult", . .: 1 1 1 3 2 3 3 3 3 2 ... $ educ_level_num : num 2 5 2 2 2 6 1 2 2 3 ... $ educ_level_cat : Factor w/ 8 levels "Not HS graduate", . . : 2 5 2 2 2 6 1 2 2 3 ... A. How many variables and how many respondents are in the data? (2 points) B. The survey includes the variable v161310x according to the NHANES codebook shown below. (6 points) v161310x PRE: SUMMARY - R self-identified race VALUE LABEL 1. White, non-Hispanic 2. Black, non-Hispanic 3. Asian, native Hawaiian or other Pacif Islr, non Hispanic 4 4. Native American or Alaska Native, non-Hispanic 5. Hispanic 6 6. Other non-Hispanic incl multiple races Data type: numeric Minimum code defined as valid: 0 Record/columns: 1/129-130 a. What does the variable v161310x measure? (2 points) b. How many values does the variable v161310x have? (1 point) c. What are the labels attached to the value of 5? (1 point) d. Given that these values are numeric and in order, should we treat v161310x as a categorical or numeric variable? Why? (2 points)Exercise 2: Codebook (8 points) For this test, we'll be using data from the American National Election Survey (ANES), a survey that is held after each presidential election every four years. The survey asks a sample of US voters about their voting habits and their opinions on a variety of social and political issues. I've downloaded the 2016 ANES data, shown in the output below. Hilel Katanov Spring 2023 Dept. of Sociology 'data. frame' : 4271 obs. of 28 variables: $ case_ID : int 300001 300002 300003 300004 300006 300007 300008 300012 300018 300020 ... $ vote_2012 : Factor w/ 4 levels "Barack Obama", . .: NA 1 NA 2 1 2 1 2 2 NA . . . $ party_reg : Factor w/ 5 levels "Democrat", "Republican", . . : 2 4 NA NA NA 4 1 2 NA NA . . $ like_dem : Factor w/ 2 levels "yes", "no": 2 2 2 2 1 2 1 2 2 2 . $ like_repub : Factor w/ 2 levels "yes", "no": 1 1 2 1 1 1 2 1 2 2 ... $ last_year_better_worse: num 3 3 3 5 1 3 3 3 3 3 .. $ pol_id : int NA 5 NA NA 4 6 NA 5 4 3 $ pol_compromise Factor w/ 2 levels "Compromise", "No compromise": 2 2 1 1 2 2 1 1 1 2 ... $ sex_orientation Factor w/ 3 levels "Heterosexual", ..: 1 1 1 1 1 1 1 1 1 1 ... $ religion_importance Factor w/ 2 levels "Important", "Not important": 1 2 2 1 1 1 1 1 2 1 ... $ religious_services : Factor w/ 5 levels "Every week", "Almost every week", .. : 4 NA NA 1 2 1 4 NA 4 4 ... $ age : int 29 26 23 58 38 60 58 56 45 30 .. $ marital : Factor w/ 5 levels "Married", "Widowed", . .: 1 5 5 1 3 1 1 2 4 1 ... $ educ_level num 9 13 9 9 9 14 5 9 9 10 ... $ served_usarmy Factor w/ 2 levels "Never Served", . 1 1 1 1 1111... $ hh_union : Factor w/ 2 levels "yes", "no": 2 2 2 1 2 2 1 1 2 2 .. $ race : Factor w/ 5 levels "White", "Black", ..: 1 1 1 1 1 1 $ employment : Factor w/ 6 levels "Employed", "Unemployed", . .: 1 1 1 1 1 1 1 1 1 1 ... $ parents_born : Factor w/ 3 levels "Both US Born", . .: 1 1 1 1 1 1 3 1 1 1 .. $ kids_hs int 1020310002 ... $ feel_feminists : int 50 50 50 50 70 50 50 40 50 50 $ feel_liberals : int 50 50 50 50 70 15 85 30 15 50 ... $ feel_conservatives : int 70 60 50 50 70 50 85 40 60 50 .. . $ feel_gay : int 15 50 70 50 85 50 85 100 50 50 . .. $ feel_transgender : int 50 50 50 50 85 50 85 70 30 50 ... $ age_cat : Factor w/ 4 levels "Young Adult", . .: 1 1 1 3 2 3 3 3 3 2 ... $ educ_level_num : num 2 5 2 2 2 6 1 2 2 3 ... $ educ_level_cat : Factor w/ 8 levels "Not HS graduate", . . : 2 5 2 2 2 6 1 2 2 3 ... A. How many variables and how many respondents are in the data? (2 points) B. The survey includes the variable v161310x according to the NHANES codebook shown below. (6 points) v161310x PRE: SUMMARY - R self-identified race VALUE LABEL 1. White, non-Hispanic 2. Black, non-Hispanic 3. Asian, native Hawaiian or other Pacif Islr, non Hispanic 4 4. Native American or Alaska Native, non-Hispanic 5. Hispanic 6 6. Other non-Hispanic incl multiple races Data type: numeric Minimum code defined as valid: 0 Record/columns: 1/129-130 a. What does the variable v161310x measure? (2 points) b. How many values does the variable v161310x have? (1 point) c. What are the labels attached to the value of 5? (1 point) d. Given that these values are numeric and in order, should we treat v161310x as a categorical or numeric variable? Why? (2 points)