The COVID-19 pandemic prompted academics and several research institutes to conduct studies to better understand the virus’s effects from various angles. A global research and technology provider launched an international COVID-19-related project involving 20 countries, including Lebanon. The project aimed initially at understanding people’s emotions, fears, behaviors, and perspectives on the pandemic in different countries. More specifically, this global project was supposed to cover the aspects of functioning most affected by the pandemic, such as lifestyle changes (isolation, following guidelines, etc.), economic threats (losing jobs, not earning money due to lockdown), and emotional stress (especially health worries).
The data collection was carried out through an online survey using iCode [25 , 26 (
link)] smart test. This test illustrates how hesitant people are to express their views and is a simpler alternative to Implicit Association Testing (IAT), where IAT is commonly used in psychology [27 (
link)]. More specifically, iCode uses reaction time testing to measure people’s responses to questions by recording the speed and the rhythm with which the screen is touched. Reported opinions with a relatively quick reaction time are expected to reflect actual behavior [28 (
link)].
The questionnaire was created and validated with the help of eight experts from the fields of psychology, sociology, marketing, and economics. It was a collaborative effort involving experts from the United States, Poland, Singapore, Hong Kong, Portugal, and Switzerland.
The questionnaire was distributed in Lebanon in three languages (Arabic, English, and French) and a sample of 988 Lebanese respondents was collected between May 3 and May 31 of 2020. Prior to filling the survey, all participants provided written informed consent online. Due to the pandemic’s rapidly changing context and to minimize the virus’s spread, we used an online convenience sampling approach. This sampling technique has been widely used in many COVID-19-related studies [16 (
link), 29 (
link)–31 (
link)]. A link for the survey with a description, was distributed via social media platforms, including WhatsApp, Instagram, Facebook, and LinkedIn. The link was also sent by email to all current and past students (alumni), faculty and staff of the Lebanese American university (LAU). The data collection was approved by the LAU Institutional Review Board.
A series of statements were provided to respondents and their task was to agree with the sentence that appears on the screen. As shown in
Fig 1, three possible answers were available: "YES", "HARD to TELL" and "NO". Simultaneously, the explicit and implicit responses were recorded, where implicit responses are reflected by reaction speed.
Before each statement, a control screen (Advanced Button) was introduced to ensure that the measured response time (RT) is not biased by the mouse’s position. More specifically, it forces the mouse position to maintain both yes and no responses at the same distance.
A calibration phase, which consisted of three parts, preceded the test part: (i)
Scale familiarization. The purpose of this section was to familiarize respondents with the scale of responses and the position of the buttons on the screen; (ii)
familiarization with the purpose of the task and motor warm-up. A series of statements explaining the purpose of the task were described. Participants were informed that opinions and certitude were measured by the test. Twelve such screens were presented in the main part of the test, introducing participants to the task; (iii)
Increasing the engagement of participants in the task. A validation box appears twice to ensure that respondents pay attention to the presented statements, asking them to indicate what statement was shown on the previous screen. If the answer was incorrect, a message will show up asking for more careful work ("Please work carefully").
Bou-Hamad I., Hoteit R, & Harajli D. (2021). Health worries, life satisfaction, and social well-being concerns during the COVID-19 pandemic: Insights from Lebanon. PLoS ONE, 16(7), e0254989.