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".
data(relgoods)The description of subjects' covariates is the following:
IDAn identification number
GenderA factor with levels: 0 = man, 1 = woman
BirthMonthA variable indicating the month of birth of the respondent
BirthYearA variable indicating the year of birth of the respondent
FamilyA factor variable indicating the number of members of the family
Year.12A factor with levels: 1 = if there is any child aged less than 12 in the family, 0 = otherwise
EducationDegreeA factor with levels: 1 = compulsory school, 2 = high school diploma, 3 = Graduated-Bachelor degree, 4 = Graduated-Master degree, 5 = Post graduated
MaritalStatusA factor with levels: 1 = Unmarried, 2 = Married/Cohabitee, 3 = Separated/Divorced, 4 = Widower
ResidenceA factor with levels: 1 = City of Naples, 2 = District of Naples, 3 = Others Campania, 4 = Others Italia, 5 = Foreign countries
GlassesA factor with levels: 1 = wearing glasses or contact lenses, 0 = otherwise
RightHandA factor with levels: 1 = right-handed, 0 = left-handed
SmokingA factor with levels: 1 = smoker, 0 = not smoker
WalkAloneA factor with levels: 1 = usually walking alone, 0 = usually walking in company
jobA factor with levels: 1 = Not working, 2 = Retired, 3 = occasionally, 4 = fixed-term job, 5 = permanent job
PlaySportA factor with levels: 1 = Not playing any sport, 2 = Yes, individual sport, 3 = Yes, team sport
PetsA factor with levels: 1 = owning a pet, 0 = not owning any pet
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":
WalkOutHow often the respondent goes out for a walk
ParentsHow often respondent talks at least to one of his/her parents
MeetRelativesHow often respondent meets his/her relatives
AssociationFrequency of involvement in volunteering or different kinds of associations/parties, etc
RelFriendsQuality of respondent's relationships with friends
RelNeighboursQuality of the relationships with neighbors
NeedHelpEasiness in asking help whenever in need
EnvironmentLevel of comfort with the surrounding environment
SafetyLevel of safety in the streets
EndofMonthFamily making ends meet
MeetFriendNumber of times the respondent met his/her friends during the month preceding the interview
PhysicianImportance of the kindness/simpathy in the selection of respondent's physician
HappinessEach 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
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":
VideogamesReadingCinemaDrawingShoppingWritingBicycleTvStayWFriendSpending time with friends
GroupsTaking part to associations, meetings, etc.
WalkingHandWorkHobby, gardening, sewing, etc.
InternetSportSocialNetworkGymQuizCrosswords, sudoku, etc.
MusicInstrPlaying a musical instrument
GoAroundCarHanging out by car
DogWalking out the dog
GoOutEatGo 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