Oct 22, 2022
Family Quality of Life during Covid-19 Pandemic
- Tery Setiawan1,2,
- Ria Wardani1,2,
- ellen.theresia1,2
- 1Universitas Kristen Maranatha;
- 2Radboud University
External link: http://10.6084/m9.figshare.20746411
Protocol Citation: Tery Setiawan, Ria Wardani, ellen.theresia 2022. Family Quality of Life during Covid-19 Pandemic. protocols.io https://dx.doi.org/10.17504/protocols.io.3byl4jbz2lo5/v1
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: October 21, 2022
Last Modified: October 22, 2022
Protocol Integer ID: 71641
Keywords: Covid-19, Indonesia, family quality of life, family resilience, parental stress
Funders Acknowledgement:
Universitas Kristen Maranatha
Grant ID: 034/SK/ADD/UKM/VI/2021
Abstract
This protocol describes survey procedures taken in our investigation on the relation between Covid-19 economic impact and parental stress on one hand, and the family quality of life on the other. We also tested the potential buffering effect of family resilience in moderating the relation of interest. Specifically, we conducted an online study in Indonesia in 2021 using a purposive sampling. This was done by recruiting local enumerators through our university contacts. We successfully obtained participants across the archipelago, although the size is not balanced. Further, we ran confirmatory factor analysis to test the measures' validity.
Guidelines
All researchers who are interested in pursuing a follow-up study on this topic should consider the following points:
1. Sampling characteristics
2. Measures
Materials
The following measures are included in the study:
1. Family quality of life (FQOL) measure, derived from Beach Center on Disability (Hoffman et al., 2006).
2. Covid-19 economic impact measure composed of participants’ change of income and expense. This measure was inspired by a report of Covid-19 pandemic impact on households conducted by SMERU et al. (2021).
3. Parental stress scale, derived from Pontoppidan et al. (2018).
4. Family resilience measure, derived from family resilience framework by Walsh (2003; 2016).
5. We also asked demographic questions, i.e., age, gender, educational level, and the number of child(ren).
We ran confirmatory factor analysis (CFA) to test the validity of FQOL, parental stress scale and family resilience measure.
Safety warnings
The procedures employed in the study were considered safe and do not directly impose individuals with a risk of social status, employability or criminal.
Before start
This protocol is relevant for online study on Covid-19 impacts on family quality of life, especially in Indonesia.
Research objective
Research objective
Research objective and purpose
This study was conducted to investigate the relation between Covid-19 economic impact and parental stress during the pandemic on one hand, and family quality of life (FQOL) in Indonesia on the other. Specifically, we aimed to answer to what extent Covid-19 economic impact and parental stress are negatively related to the FQOL and how this relation is moderated by family resilience. For this, the study serves two purposes:
1. Empirically identifying the role Covid-19 economic impact, such as job loss and reduced income, and parental stress during the pandemic have on the quality of life among families in Indonesia.
2. Empirically identifying the potential buffering effect of family resilience in times of adversity.
All these purposes should contribute to the extant literature in Indonesia, in which the impact of Covid-19 still relies on scattered data of unemployment trends and literature study.
Methods
Methods
Research Methods
The study is quantitative by nature and used a survey to gather the data. We will start describing the survey procedure by explaining the online survey and continue with sampling characteristics. Finally, we provide steps required for participants to participate in the study.
First, the study was conducted from August 2021 until October 2021 in Indonesia, aiming to collect at least 300 participants. Due to Covid-19 measures, we decided to conduct an online study. This way, we aimed to include participants across the country. We built an online survey on Qualtrics platform to avoid recording unnecessary personal information of a participant, such as internet protocol (IP) address. Once we have setup the online survey, we tested out on several participants to ensure that the item formulation and the platform features are easily understood. From the testing, we had to undergo a few changes, such as item formulation on one item of family resilience and a skip-logic feature of Covid-19 economic impact item. The survey took about fifteen to twenty minutes to complete. Subsequently, we hired local enumerators from our university contacts. We required each enumerator to have at least completed research methodology courses in their respective university. These enumerators lived in Bandung, Jakarta and its vicinities, Makassar and Ambon.
Second, we opted for a purposive sampling strategy to gather our data. This is mainly because we foresaw a difficulty in building a bank data of potential participants. Even if we successfully attempted to do so, we would still face a great difficulty in ensuring that randomly selected participants would decide to participate or even respond to the survey invitation. Therefore, a purposive sampling was considered a best option in overcoming the Covid-19 measures and other foreseen challenges. In detail, we briefed enumerators to select the following sampling criteria: (1) a parent who lives together with their child(ren) and with or without their spouse or partner, and (2) has lived in their city of residence for at least two years. In addition, as a general rule, we also emphasized the minimum age of a participant should be 18 years old. In practice, the enumerators were informed to purposively send out a survey invitation along with the survey link to their social media groups, e.g., WhatsApp group, Facebook group, to gather participants. The link can be accessed through a laptop or desktop or Android/Apple phones.
Third, if a participant decided to continue by clicking the given link, they would be provided with a brief information of the study, contact persons if feeling unease when filling in the survey, sampling characteristics, and an informed consent which they had to actively respond by selecting "I agree to participate" or "I disagree to participate". If the former is selected, participants would be directed to the survey. If the latter is selected, participants would be redirected to the end of the survey.
There was no reward in any form given to the participants.
Data Confidentiality
Data Confidentiality
Data Confidentiality
As mentioned earlier, we used Qualtrics platform to avoid collecting unnecessary personal identifiers, such as IP address and geolocation of the participants. In addition, only the authors were able to see the collected data. Enumerators were not even able to see which individuals of their social media group have responded, since they were not instructed to do any follow-up once they sent out a link.
For publication purposes, we deposited the dataset on Figshare platform and thus, it is publicly available. Prior to sharing, we have ensured to remove all the personal identifications that would allow tracing individual participants. The following personal information are the ones we purposively kept in the dataset: (1) Gender, (2) Age, (3) City, (4) Educational level, and (5) Marital status. All this information was necessary for the descriptive and inferential statistical analyses.