D 2023

Do you have time for a survey? Challenges and Lessons Learned from the Recruitment Process for an Online Survey

LANGLOIS, Danielle Kathryn and Simone KRIGLSTEIN

Basic information

Original name

Do you have time for a survey? Challenges and Lessons Learned from the Recruitment Process for an Online Survey

Authors

LANGLOIS, Danielle Kathryn (840 United States of America, belonging to the institution) and Simone KRIGLSTEIN (40 Austria, belonging to the institution)

Edition

Hamburg, Germany, In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, p. 1-5, 5 pp. 2023

Publisher

ACM

Other information

Language

English

Type of outcome

Proceedings paper

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

is not subject to a state or trade secret

Publication form

electronic version available online

RIV identification code

RIV/00216224:14330/23:00130351

Organization unit

Faculty of Informatics

ISBN

978-1-4503-9422-2

EID Scopus

2-s2.0-85158148397

Keywords in English

ESports; survey methodology; study recruitment; online survey

Tags

International impact, Reviewed
Changed: 14/5/2024 12:40, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

Regardless of study design, recruitment is always an important challenge for researchers. In the current paper, we would like to share some lessons learned in the recruitment techniques for an online survey study. In order to recruit for a survey study on Esports, the authors decided to try and recruit from a diverse population. To this end, they recruited both from their personal networks and via social media. While they were unable to recruit the desired number of participants (30- 50), they were able to learn a great deal about what worked and what did not in the recruitment process. Some of the issues encountered involved survey length and timing issues. Also, they learned that researchers need to be mindful about the limitations of the social media sites they use. We hope that sharing these lessons will be helpful to future researchers as they plan future research.

Links

MUNI/A/1339/2022, interní kód MU
Name: Rozvoj technik pro zpracování dat pro podporu vyhledávání, analýz a vizualizací rozsáhlých datových souborů s využitím umělé inteligence
Investor: Masaryk University, Development of data processing techniques to support search, analysis and visualization of large datasets using artificial intelligence