relgoods: Relational goods and Leisure time dataset

In FastCUB: Fast Estimation of CUB Models via Louis' Identity

Relational goods and Leisure time dataset

Description

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".

Usage

data(relgoods)

Format

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

Details

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

FastCUB documentation built on May 29, 2024, 8:29 a.m.