Ioannis Andreadis
Aristotle University of Thessaloniki
International DATIS Conference
Aristotle University of Thessaloniki
24 August 2025
Introduction to DATIS
a foundation stone for ISSP in
Greece
Outline
 DATIS and ISSP
 The importance of the Greek section of ISSP
 What we have accomplished
 Data
 Methods
 Impact
 Next steps
 Obstacles for ISSP in Greece
2
DATIS and ISSP
 Data for Inclusive Societies (DATIS)
 Exploring Enemies and Supporters of
Inclusive Societies: Theoretical and
Empirical Insights
 The International Social Survey Programme
(ISSP)
 Since 1985. Today more than 9000
publications (excluding single country)
 We use the items from the ISSP
questionnaires
3
The importance of the Greek
section of ISSP
 The social data collected in this project is useful
for the academic community, policy makers and
the whole Greek society.
 Study citizens' perceptions on very important
social issues covered by the ISSP surveys.
 Participation in ISSP offers international
recognition and significant prestige to the School
and to the entire university.
 Data are used at all levels (under/post graduate
studies and PhDs)
4
What we have accomplished (data)
 2025 Work Orientations
 2024 Digital Societies
 2023 National Identity & Citizenship*
 2022 Family and Changing Gender Roles
V*
 2021 Health and Healthcare II**
 ELNES 2023*
 Elite Surveys
 Social Media Posts
* Documentation, ** Before DATIS
5
What we have accomplished
(methods)
 New Data Collection Methods
 Reactive (surveys with text messages)
 Nonreactive (Social media and Web
Scrapping
 Data cleaning methods for
 pilot surveys (for detecting issues in
questionnaires) and
 main survey data (for uncovering
inattentive respondents)
6
7
Data collection
methods
Is it possible to conduct a national
survey with SMS recruitment?
 How can we recruit a representative sample with text
messages?
 What about people without Internet access?
 What are the best practices to conduct a general survey when
we use text messages for recruitment?
8
A method similar to RDD for mobile
phone numbers
 As far as the recruitment approach is concerned, it is very
easy to generate probability-based samples of mobile phone
numbers through random-digit-dial (RDD) procedures.
 All mobile phone numbers in Greece start with 69 followed
by one of [0,3:5,7:9] and seven other digits.
 Most of the countries in the world follow a similar pattern,
but there are some exceptions: e.g. in USA, mobile phone
numbers are region-based (the first 3 digits correspond to
the area code)
 After RDD the numbers are validated through HLR lookups
Ioannis Andreadis @andreadis_i
9
Pre-notification, Invitation and
Reminders
 The pre-notification informs the randomly selected mobile
phone owners that they would soon receive an invitation to a
survey organized by Aristotle University ofThessaloniki
(AUTH) and a telephone number at AUTH they could call in
case they had questions (builds trust with sample members)
 The invitation and reminders include a short text and a very
short personalized link (epolls.eu/XXXX) that the sample
members can directly tap on their device (if these are
smartphones) or easily type it into a browser of another
device to go to the mobile-friendly web survey
Ioannis Andreadis @andreadis_i
10
11
Data Cleaning Methods
Methods for pilot surveys
 Focusing on item non-response rates
 A spike in non-responses for a particular
item is a flag for potential problems (e.g.
participants’ confusion, privacy concerns,
or technical glitches).
 Combining item non-response rates with
participant feedback can provide insightful
information
12
For main surveys
The R package “Survey Data Quality” is being developed at:
https://github.com/andreadis-ioannis/SurveyDataQuality
 In addition to the data quality functions, the R package
contains a data file with responses to the ISSP 2020
questionnaire which is used as an example in the help
files of the package
13
Description of the package
 A series of R functions that can be used to assess the quality
of survey data
 Why do we need them?
 Even the most motivated respondents may get tired or lose
their interest and motivation and they may respond less
carefully to the questions of a self-administered survey (i.e.,
with minimal cognitive effort).
 Other respondents may not be interested in providing their best
response. Instead, their motivation may be to complete the
survey as quickly as possible (e.g., when they are after rewards/
incentives)
14
Based on the survey methodology
literature
 Survey methodology scholars have used many methods to
measure response quality.
 Based on the theory of satisficing we use a series of indicators
of lower quality responses to estimate the level of
engagement of survey participants in answering the
questionnaires:
 Item-nonresponse
 Mid-point responses
 Straight-lining
 Speeding
15
What we have accomplished
(impact)
 Participation in more than 10
international conferences and meetings
all over the world with more than 20
presentations
 Greece is constantly running all pilot
studies for the new ISSP questionnaires
 Recognizing the importance of the new
methods of data collection and data
cleaning, Greece was voted as a member
of the Methodology Committee of ISSP
16
Next steps
 Presentations in this conference
 Comparative analyses as data from other
countries become available from ISSP
 Dissemination to the public and policy
makers (with the support of Greek
media)
 Preparing the pilot study for ISSP 2026
(Role of Government)
 Securing funds for the next Greek ISSP
studies
17
Obstacles for ISSP in Greece
 In most other countries, ISSP data
collection is secured by national funds.
In Greece, there are many obstacles.
 In most calls (e.g. Trust your Stars), social
science proposals must compete with all
other fields, and they get lower scores
on the criterion of “practical
implications”
 HFRI has a peculiar rule that does not
allow Principal Investigators of
successful proposal to participate in the
next cycle
18
Thank you! Questions? Comments?
Bluesky: @andreadis.bsky.social and @datisproject.bsky.social
Linkedin: https://www.linkedin.com/in/iandreadis/ and
https://www.linkedin.com/company/datis-project
Datis Project: https://datis.gr/ Facebook/ Instagram: DATIS
This project is carried out within the framework of the
National Recovery and Resilience Plan Greece 2.0, funded by
the European Union – NextGenerationEU (Implementation
body: HFRI).
19

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Introduction to DATIS a foundation stone for ISSP in Greece

  • 1. Ioannis Andreadis Aristotle University of Thessaloniki International DATIS Conference Aristotle University of Thessaloniki 24 August 2025 Introduction to DATIS a foundation stone for ISSP in Greece
  • 2. Outline  DATIS and ISSP  The importance of the Greek section of ISSP  What we have accomplished  Data  Methods  Impact  Next steps  Obstacles for ISSP in Greece 2
  • 3. DATIS and ISSP  Data for Inclusive Societies (DATIS)  Exploring Enemies and Supporters of Inclusive Societies: Theoretical and Empirical Insights  The International Social Survey Programme (ISSP)  Since 1985. Today more than 9000 publications (excluding single country)  We use the items from the ISSP questionnaires 3
  • 4. The importance of the Greek section of ISSP  The social data collected in this project is useful for the academic community, policy makers and the whole Greek society.  Study citizens' perceptions on very important social issues covered by the ISSP surveys.  Participation in ISSP offers international recognition and significant prestige to the School and to the entire university.  Data are used at all levels (under/post graduate studies and PhDs) 4
  • 5. What we have accomplished (data)  2025 Work Orientations  2024 Digital Societies  2023 National Identity & Citizenship*  2022 Family and Changing Gender Roles V*  2021 Health and Healthcare II**  ELNES 2023*  Elite Surveys  Social Media Posts * Documentation, ** Before DATIS 5
  • 6. What we have accomplished (methods)  New Data Collection Methods  Reactive (surveys with text messages)  Nonreactive (Social media and Web Scrapping  Data cleaning methods for  pilot surveys (for detecting issues in questionnaires) and  main survey data (for uncovering inattentive respondents) 6
  • 8. Is it possible to conduct a national survey with SMS recruitment?  How can we recruit a representative sample with text messages?  What about people without Internet access?  What are the best practices to conduct a general survey when we use text messages for recruitment? 8
  • 9. A method similar to RDD for mobile phone numbers  As far as the recruitment approach is concerned, it is very easy to generate probability-based samples of mobile phone numbers through random-digit-dial (RDD) procedures.  All mobile phone numbers in Greece start with 69 followed by one of [0,3:5,7:9] and seven other digits.  Most of the countries in the world follow a similar pattern, but there are some exceptions: e.g. in USA, mobile phone numbers are region-based (the first 3 digits correspond to the area code)  After RDD the numbers are validated through HLR lookups Ioannis Andreadis @andreadis_i 9
  • 10. Pre-notification, Invitation and Reminders  The pre-notification informs the randomly selected mobile phone owners that they would soon receive an invitation to a survey organized by Aristotle University ofThessaloniki (AUTH) and a telephone number at AUTH they could call in case they had questions (builds trust with sample members)  The invitation and reminders include a short text and a very short personalized link (epolls.eu/XXXX) that the sample members can directly tap on their device (if these are smartphones) or easily type it into a browser of another device to go to the mobile-friendly web survey Ioannis Andreadis @andreadis_i 10
  • 12. Methods for pilot surveys  Focusing on item non-response rates  A spike in non-responses for a particular item is a flag for potential problems (e.g. participants’ confusion, privacy concerns, or technical glitches).  Combining item non-response rates with participant feedback can provide insightful information 12
  • 13. For main surveys The R package “Survey Data Quality” is being developed at: https://github.com/andreadis-ioannis/SurveyDataQuality  In addition to the data quality functions, the R package contains a data file with responses to the ISSP 2020 questionnaire which is used as an example in the help files of the package 13
  • 14. Description of the package  A series of R functions that can be used to assess the quality of survey data  Why do we need them?  Even the most motivated respondents may get tired or lose their interest and motivation and they may respond less carefully to the questions of a self-administered survey (i.e., with minimal cognitive effort).  Other respondents may not be interested in providing their best response. Instead, their motivation may be to complete the survey as quickly as possible (e.g., when they are after rewards/ incentives) 14
  • 15. Based on the survey methodology literature  Survey methodology scholars have used many methods to measure response quality.  Based on the theory of satisficing we use a series of indicators of lower quality responses to estimate the level of engagement of survey participants in answering the questionnaires:  Item-nonresponse  Mid-point responses  Straight-lining  Speeding 15
  • 16. What we have accomplished (impact)  Participation in more than 10 international conferences and meetings all over the world with more than 20 presentations  Greece is constantly running all pilot studies for the new ISSP questionnaires  Recognizing the importance of the new methods of data collection and data cleaning, Greece was voted as a member of the Methodology Committee of ISSP 16
  • 17. Next steps  Presentations in this conference  Comparative analyses as data from other countries become available from ISSP  Dissemination to the public and policy makers (with the support of Greek media)  Preparing the pilot study for ISSP 2026 (Role of Government)  Securing funds for the next Greek ISSP studies 17
  • 18. Obstacles for ISSP in Greece  In most other countries, ISSP data collection is secured by national funds. In Greece, there are many obstacles.  In most calls (e.g. Trust your Stars), social science proposals must compete with all other fields, and they get lower scores on the criterion of “practical implications”  HFRI has a peculiar rule that does not allow Principal Investigators of successful proposal to participate in the next cycle 18
  • 19. Thank you! Questions? Comments? Bluesky: @andreadis.bsky.social and @datisproject.bsky.social Linkedin: https://www.linkedin.com/in/iandreadis/ and https://www.linkedin.com/company/datis-project Datis Project: https://datis.gr/ Facebook/ Instagram: DATIS This project is carried out within the framework of the National Recovery and Resilience Plan Greece 2.0, funded by the European Union – NextGenerationEU (Implementation body: HFRI). 19