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Running an analysis of variance

When examining the association between current number of cigarettes smoked (quantitative response) and past year nicotine dependence (categorical explanatory), an Analysis of Variance (ANOVA) revealed that among daily, young adult smokers (my sample), those with nicotine dependence reported smoking significantly more cigarettes per day (Mean=14.6, s.d. ±9.15) compared to those without nicotine dependence (Mean=11.4, s.d. ±7.43), F(1, 1313)=44.68, p<0001. Note that the degrees of freedom that I report in parentheses) following ‘F’ can be found in the OLS table as the DF model and DF residuals. In this example 44.68 is the actual F value from the OLS table and we commonly report a very small p value as simply <.0001.

ANOVA revealed that among daily, young adult smokers (my sample), number of cigarettes smoked per day (collapsed into 5 ordered categories, which is the categorical explanatory variable) and number of nicotine dependence symptoms (quantitative response variable) were significantly associated, F (4, 1308)=11.79, p=0001. Post hoc comparisons of mean number of nicotine dependence symptoms by pairs of cigarettes per day categories revealed that those individuals smoking more than 10 cigarettes per day (i.e. 11 to 15, 16 to 20 and >20) reported significantly more nicotine dependence symptoms compared to those smoking 10 or fewer cigarettes per day (i.e. 1 to 5 and 6 to 10). All other comparisons were statistically similar

Making Data Management Decisions

I set aside missing data for the variable “Number of Drinks of Any Alcohol Usually Consumed on Days When Drank Alcohol in the Last 12 Months” eliminating those who answered “unknown”. I also recoded the value for the variable “How Often Drank Any Alcohol in the Last 12 Months”. I added the secondary variable NUMDRIMO_EST, which represents the number of drinks per month.

A sample of 6504 students were asked questions regarding the relationship they had with their mother and the number of friends they had. A question regarding what grade their best friend was in, was asked as well. Out of the total number, who were asked the question, the search was further modified to only include those who very cared very little by their mothers and those who had a best friend in 9th grade and above. This resulted in a final sample of 31 adolescents, out of which (45.16%) felt that they were not close to their mother and fell into the category 2. *For the next question, only those who felt that their mother cared very little for them were included, which resulted in a sample of 31 students. *For the next few questions, adolescents were asked regarding risky behavior and the number of three best friends who engaged in such risky behavior, out of which (80.65%) replied that they did not engage in tobacco habits during the past 30days , (41.94%) replied that they did not smoke in the past thirty day and 61.29% admitted to smoking at least one or two puffs of cigarettes in the past. (58.6%) of the adolescents admitted to consuming alcohol, out of which (29.03%) had friends who had consumed alcohol in the past. *There were no number of missing replies reported in this result, as the research was specifically modified to subset the required criteria. CODE:

#Writing your first program

Creating graphs for your data

Making Data Management Decisions

/*Program for NESARC data set*/ LIBNAME mydata "/courses/d1406ae5ba27fe300 " access=readonly;

DATA new1; set mydata.nesarc_pds;

LABEL TAB12MDX="Tobacco Dependence Past 12 Months" CHECK321="Smoked Cigarettes in Past 12 Months" S3AQ3B1="Usual Smoking Frequency" S3AQ3C1="Usual Smoking Quantity";

IF AGE LE 20 THEN AGEGROUP=1; /*18, 19, 20 year olds*/ ELSE IF AGE LE 22 THEN AGEGROUP=2; /*21, 22 year olds*/ ELSE AGEGROUP=3; /*23, 24, 25 year olds*/

/*set missing data*/ IF S3AQ3B1=9 THEN S3AQ3B1=.;

/*Reverse code values*/ IF S3AQ3B1=1 THEN USFREQ=6; ELSE IF S3AQ3B1=2 THEN USFREQ=5; ELSE IF S3AQ3B1=3 THEN USFREQ=4; ELSE IF S3AQ3B1=4 THEN USFREQ=3; ELSE IF S3AQ3B1=5 THEN USFREQ=2; ELSE IF S3AQ3B1=6 THEN USFREQ=1;

/*recode with more meaningful quantitative values*/ IF S3AQ3B1=1 THEN USFREQMO=30; ELSE IF S3AQ3B1=2 THEN USFREQMO=22; ELSE IF S3AQ3B1=3 THEN USFREQMO=14; ELSE IF S3AQ3B1=4 THEN USFREQMO=5; ELSE IF S3AQ3B1=5 THEN USFREQMO=2.5; ELSE IF S3AQ3B1=6 THEN USFREQMO=1;

IF S3AQ3C1=99 THEN S3AQ3C1=.;

/*coding in valid data*/ IF S2AQ3 NE 9 AND S2AQ8A=. THEN S2AQ8A=11;

/*secondary variables estimating the number of cigaretted smoked in the past 30 days*/ NUMCIGMO_EST=USFREQMO*S3AQ3C1;

/*subsetting the data to include only past 12 month smokers, age 18-25*/ IF CHECK321=1; IF AGE LE 25; PROC SORT; by IDNUM;

PROC PRINT; VAR USFREQMO S3AQ3C1 NUMCIGMO_EST;

PROC FREQ; TABLES TAB12MDX CHECK321 S3AQ3B1 S3AQ3C1 AGE USFREQMO NUMCIGMO_EST; RUN;

screechingfestcreation-blog

Research Project

What interest me is what are causes for antisocial personality disorder.

The second topic that I would like to explore is that, whether is there any association antisocial personality disorder and alcohol consumption.

I selected the NESARC data set.

screechingfestcreation-blog

http://faculty.uml.edu/rsiegel/47.272/documents/Mulder_Alcoholism-personality.pdf

screechingfestcreation-blog

http://faculty.uml.edu/rsiegel/47.272/documents/Mulder_Alcoholism-personality.pdf

screechingfestcreation-blog

Running Your First Program

LIBNAME mydata “/courses/d1406ae5ba27fe300 ” access=readonly; data new; set mydata.nesarc_pds; label tab12mdx=“Tobacco Dependence Past 12 Months” check321=“Smoked Cigarettes in Past 12 Months” S3AQ3b1=“Usual Smoking Frequency” S3AQ3C1=“Usual Smoking Quantity”; /* To leave comment*/ if check321=1; if age le 25; proc sort; by IDNUM; proc freq; tables tab12mdx check321 S3AQ3b1 S3AQ3C1;

Running Your First Program

LIBNAME mydata "/courses/d1406ae5ba27fe300 " access=readonly; data new; set mydata.nesarc_pds; label tab12mdx="Tobacco Dependence Past 12 Months" check321="Smoked Cigarettes in Past 12 Months" S3AQ3b1="Usual Smoking Frequency" S3AQ3C1="Usual Smoking Quantity"; /* To leave comment*/ if check321=1; if age le 25; proc sort; by IDNUM; proc freq; tables tab12mdx check321 S3AQ3b1 S3AQ3C1;

screechingfestcreation-blog

Research Project

What interest me is what are causes for antisocial personality disorder.

The second topic that I would like to explore is that, whether is there any association antisocial personality disorder and alcohol consumption.

I selected the NESARC data set.

screechingfestcreation-blog

http://faculty.uml.edu/rsiegel/47.272/documents/Mulder_Alcoholism-personality.pdf

screechingfestcreation-blog

Research Project

What interest me is what are causes for antisocial personality disorder.

The second topic that I would like to explore is that, whether is there any association antisocial personality disorder and alcohol consumption.

I selected the NESARC data set.

#coursera

Research Project

What interest me is what are causes for antisocial personality disorder.

The second topic that I would like to explore is that, whether is there any association antisocial personality disorder and alcohol consumption.

I selected the NESARC data set.

#data management and visualisation

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