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Evaluation of the interviews - grids

Within the framework of the project, Vannes team proposed to present the analysis of the 15 interviews carried out on a grid where the main items explored in the interviews were declined. That was completed, in columns, for each interviewee, according to a defined color code.


The grids, then filled in by the 7 other partners were compiled graphically to get an overview of all the interviews conducted.


These graphs were made possible thanks to the grid proposed by Vannes team and to the grids filled by the different partners, based on the data of the interviews.


Thanks to these grids:

  1. Each partner town was able to produce a summary table, giving an immediate quantified vision about the situation of elderly people, in their town and region, which is involved in this study.
  2. Afterwards we have drawn up a summary table, bringing together 8 cities, which can lead to a comparision between them.
     

Note: It deals with a presentation in figures giving a general overview but not statistically significant of the items collected in the interviews.

 

 


Legend and manual of the grid

Colour code

Unless otherwise noted, a colour code is used.

  • green - yes, good, best, etc.
  • orange - more or less good, maybe, partly, etc.
  • red - no, bad, not good (related to health)
  • grey - no information is available, so this aspect is not included in the interview and I do not know.

Some lines are to be filled in with letters, or numbers, this is also named in the legend.

Civil state

  • Age: The first line concerns age of the interviewee. 
  • Initials: The initials or name of the interviewee or a number from 1 to 15 for the interviewees
  • Sex: The gender of the person: W for Woman; M for Man; D can be used for diverse.
  • School level: the highest level achieved: 1 - Primary school; 2 - Grammar /  secondary school; 3 - Higher education (vocational / professional education); 4 - University
  • Housing situation: living in the countryside (C) or in the town (T)

Economic situation - colour code

  • Do you receive a pension?
  • Is the pension sufficient?
  • Other / additional income, e.g. from professional activity, etc.

Health situation - colour code

  • State of health: green - good; yellow - ok / could be better; red - not good, in poor health, ill
  • Social health coverage

Activities  - colour code

  • Family: any interaction with the family, responsibility to the whole family.
  • Social: any social activity in a formal or non-formal gro
  • Sport: any regular training or exercise
  • Culture: membership in any club, attending concerts, theatre performances, dancing, singing in a choir....
  • Leisure: recreational activities, such as playing cards, gardening, cooking, DIY, handicrafts.... (in which one derives pleasure)
  • Volunteering: no additional declaration required
  • Politics: member of a party, city council, parliament...; interested in politics
  • Use of media: radio, newspapers, magazines, TV, etc.
  • Digital means: Use of computer, mobile phone, internet, etc.

Feelings - colour code

  • Does the respondent feel happy?
  • Dreams/hopes fulfilled: Are the wishes the person thought of regarding retirement while still working true today?
  • Role hoped for: to be answered with numbers. 
    • 5 - Transmission role: tradition, culture, memory, family, moral value
    • 6 - Councelling, example, reference role
    • 7 - Family support, intergenerational relation
    • 8 - Role in society

 


Results - the grids

 

Belgrade grid
Carbonia grid
Frankfurt grid
Ruse grid
Sofia grid
Timisoara grid
Ulm grid
Vannes grid

Evaluation of the results - all towns

Civil status
School level
Housing
Economic sitaution
Health situation
Activities
Conclusion
Hopes

Evaluation of the results - town by town

Civil status
School level
Housing
Economic situation
Pension
Income
Health situation
Social security
Activities
Social life
Sports
Culture
Leisure
Volunteering
Political engagement
Use of media
Use of digital technology
Happiness
Expectations

The synoptic table led us to the following thoughts:

  • It should be remembered that the number of individuals interviewed is low and they are not part of representative samples.
  • It is obvious that there are recruitment biases  (sex, level of education, housing…)
  • There are limits to the final acceptance of the publication on the DENTA website (3 people in Vannes recused themselves)
  • And above all, it seems obvious that the definition of the criteria was not the same for everyone (pension, pension in relation of standard of living, health, social cover, family or sports activities, social activities…)

This study has therefore had the merit of understanding the limits and the absolute necessity to frame the interviews by defining as rigorously as possible the criteria and items to be studied.