relgoods: Relational goods and Leisure time dataset
In CUB: A Class of Mixture Models for Ordinal Data

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Dataset consists of the results of a survey aimed at measuring the evaluation of people living in the metropolitan area of Naples, Italy, with respect to of relational goods and leisure time collected in December 2014. Every participant was asked to assess on a 10 point ordinal scale his/her personal score for several relational goods (for instance, time dedicated to friends and family) and to leisure time. In addition, the survey asked respondents to self-evaluate their level of happiness by marking a sign along a horizontal line of 110 millimeters according to their feeling, with the left-most extremity standing for "extremely unhappy", and the right-most extremity corresponding to the status "extremely happy".

1	data(relgoods)

The description of subjects' covariates is the following:

ID: An identification number
Gender: A factor with levels: 0 = man, 1 = woman
BirthMonth: A variable indicating the month of birth of the respondent
BirthYear: A variable indicating the year of birth of the respondent
Family: A factor variable indicating the number of members of the family
Year.12: A factor with levels: 1 = if there is any child aged less than 12 in the family, 0 = otherwise
EducationDegree: A factor with levels: 1 = compulsory school, 2 = high school diploma, 3 = Graduated-Bachelor degree, 4 = Graduated-Master degree, 5 = Post graduated
MaritalStatus: A factor with levels: 1 = Unmarried, 2 = Married/Cohabitee, 3 = Separated/Divorced, 4 = Widower
Residence: A factor with levels: 1 = City of Naples, 2 = District of Naples, 3 = Others Campania, 4 = Others Italia, 5 = Foreign countries
Glasses: A factor with levels: 1 = wearing glasses or contact lenses, 0 = otherwise
RightHand: A factor with levels: 1 = right-handed, 0 = left-handed
Smoking: A factor with levels: 1 = smoker, 0 = not smoker
WalkAlone: A factor with levels: 1 = usually walking alone, 0 = usually walking in company
job: A factor with levels: 1 = Not working, 2 = Retired, 3 = occasionally, 4 = fixed-term job, 5 = permanent job
PlaySport: A factor with levels: 1 = Not playing any sport, 2 = Yes, individual sport, 3 = Yes, team sport
Pets: A factor with levels: 1 = owning a pet, 0 = not owning any pet

1) Respondents were asked to evaluate the following items on a 10 point Likert scale, ranging from 1 = "never, at all" to 10 = "always, a lot":

WalkOut: How often the respondent goes out for a walk
Parents: How often respondent talks at least to one of his/her parents
MeetRelatives: How often respondent meets his/her relatives
Association: Frequency of involvement in volunteering or different kinds of associations/parties, etc
RelFriends: Quality of respondent's relationships with friends
RelNeighbours: Quality of the relationships with neighbors
NeedHelp: Easiness in asking help whenever in need
Environment: Level of comfort with the surrounding environment
Safety: Level of safety in the streets
EndofMonth: Family making ends meet
MeetFriend: Number of times the respondent met his/her friends during the month preceding the interview
Physician: Importance of the kindness/simpathy in the selection of respondent's physician

Happiness: Each respondent was asked to mark a sign on a 110mm horizontal line according to his/her feeling of happiness (left endpoint corresponding to completely unhappy, right-most endpoint corresponding to extremely happy

2) The same respondents were asked to score the activities for leisure time listed below, according to their involvement/degree of amusement, on a 10 point Likert scale ranging from 1 = "At all, nothing, never" to 10 = "Totally, extremely important, always":

Videogames
Reading
Cinema
Drawing
Shopping
Writing
Bicycle
Tv
StayWFriend: Spending time with friends

Groups: Taking part to associations, meetings, etc.

Walking
HandWork: Hobby, gardening, sewing, etc.
Internet
Sport
SocialNetwork
Gym
Quiz: Crosswords, sudoku, etc.
MusicInstr: Playing a musical instrument
GoAroundCar: Hanging out by car
Dog: Walking out the dog
GoOutEat: Go to restaurants/pubs

Period of data collection: December 2014
Mode of collection: questionnaire
Number of observations: 2459
Number of subjects' covariates: 16
Number of analyzed items: 34
Warning: with a limited number of missing values

http://www.labstat.it/home/wp-content/uploads/2015/09/relgoods.txt

CUB documentation built on March 31, 2020, 5:14 p.m.