relgoods {FastCUB}R Documentation

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

[Package FastCUB version 0.0.3 Index]