Meta-Analysis of Data Collect Methods

Tikito, Iman; Arass, Mohammed El; Souissi, Nissrine

doi:10.3844/jcssp.2019.1184.1194

Cited by 5 publications

(10 citation statements)

References 18 publications

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“…Because the samples were drawn from different countries, it could be concluded that the samples were also heterogeneous in terms of demographics and not homogeneous. The heterogeneity of such samples is critical in quantitative studies to draw robust conclusions (Tikito et al 2019). The samples used by 21 articles in the selected studies could be considered a very high variation of samples.…”

Section: Results Religiosity's Effect On Life Satisfaction Based On T...mentioning

confidence: 99%

“…Thus, although there were only 21 articles chosen for this study, the articles met the criteria for study representation. However, the papers had represented the existing studies (Tikito et al 2019) by the degrees of site heterogeneity, method and sample number. Considering the information in Table 2, incorporating the 21 studies into the metaanalysis was feasible and conceivable.…”

Section: Results Religiosity's Effect On Life Satisfaction Based On T...mentioning

confidence: 99%

“…According to Israel and Richter (2011), because meta-analysis is a statistical technique used to combine several published studies, the data collected must be in the form of literature, that is, journal articles, working papers and research reports that can be accessed openly online. Referring to the model used by Tikito et al (2019) and Israel and Richter (2011), the study applies a data collection model with two approaches, namely: meta-analysis and SLR.…”

Section: Data Collectionsmentioning

confidence: 99%

See 2 more Smart Citations

The effect of religiosity on life satisfaction: A meta-analysis

Sholihin

Hardivizon

Wanto

et al. 2022

HTS Teologiese Studies / Theological Studies

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This article intends to synthesise the results of various studies related to the influence of religiosity on life satisfaction, with the aim of mapping how religiosity variables influence people’s life satisfaction in multiple countries. Additionally, this study seeks to identify the development of research issues regarding religiosity and life satisfaction. For this reason, a meta-analysis approach was applied to synthesise 21 articles quantitatively, and the systematic literature review (SLR) approach was used to narrate the development of issues concerning religiosity and life satisfaction in 40 articles. In general, this study succeeds in demonstrating that the influence of the religiosity variable on life satisfaction in various study samples is linear and has a positive effect.Contribution: The dimensions of religiosity and life satisfaction are still very limited to the characteristics of disciplines attached to researchers. This resulted in the dimension being repeatedly used (redundancy) in various studies, resulting in the second dimension of the issue (i.e., religiosity and life satisfaction) being less developed. Therefore, it contributes to the issues as a foundation of new directions, i.e., emic perspectives, in understanding the relationship between religiosity and life satisfaction.

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Section: Results Religiosity's Effect On Life Satisfaction Based On T...mentioning

confidence: 99%

Section: Results Religiosity's Effect On Life Satisfaction Based On T...mentioning

confidence: 99%

Section: Data Collectionsmentioning

confidence: 99%

See 1 more Smart Citation

The effect of religiosity on life satisfaction: A meta-analysis

Sholihin

Hardivizon

Wanto

et al. 2022

HTS Teologiese Studies / Theological Studies

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“…It consists of verifying the proper functioning of everything that has been previously carried out. We proceeded in three sub-steps: data collection [16], data analysis, and the exploitation of the outcomes. The result of this step is presented in section VI.…”

Section: Motivation and Methodologymentioning

confidence: 99%

LISUNGIcovid19: Prototype of mobile application to help manage the way out of covid-19 crisis

Bokonda

Ouazzani-Touhami²,

Souissi³

2020

2020 6th IEEE Congress on Information Science and Technology (CiSt)

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Coronavirus disease 2019 (Covid-19) has plunged the world into a crisis that will forever be marked in the annals of humanity. Several mobile applications have been proposed, in particular to help limit or even stop the spread of the virus. In this paper, we propose a mobile data collection application, LISUNGIcovid19. This application has been built on the basis of the Open Data Kit (ODK) platform. The proposed solution offers both a mobile application and a data server to store, visualize and analyze the collected data. Although there are several applications created in this context of covid-19 such as STOPcovid or Wiqaytna, our solution is distinguished by the rapid adaptation of its data collection form according to the evolution of lockdown exit or renewed lockdown strategy adopted by the authorities. It will help decision-makers in the evaluation of their strategy and possibly the planning of lockdown exit and thus ensure a good management of the way out of this health crisis. The data collected by LISUNGIcovid19, as well as the analysis it proposes of this data, will enable the competent authorities to take the decision to quarantine, or isolate a city, a neighborhood or a group of individuals; or to start planning a progressive lockdown exit or even a new social isolation if necessary. The case study carried out in Morocco to test LISUNGIcovid19 helped to understand the classification of the cities of Casablanca, Rabat and Salé in zone 2 during the first phase of lockdown exit and then in zone 1 during its second phase; while the cities of Kenitra and Marrakech remained in zone 2 during both phases.

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“…The data collection phase is defined in the literature [21] as a means of acquiring raw data from one or more specific environments. Thus, we will follow the collection process proposed in [22] which we consider to be the classic process used by default and is defined in six steps.…”

Section: Odk-x: Classic Collection Processmentioning

confidence: 99%

ODK-X: From A Classic Process To A Smart Data Collection Process

Tikito

Souissi²

2021

Int. J. Interact. Mob. Technol.

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Data collection is one of the first and main phases of the data life cycle. It enables improvements to be made across all phases of the data lifecycle. In this sense, we have proposed a data collection process qualified as Smart. For our smart data collection process, we have adopted the principles of the smart data approach allowing less data to be transmitted to the analysis and storage processes, while maintaining better data quality. In addition, we also used Edge computing since it provides services with faster response and better quality, compared to cloud computing. To experiment this process on mobile data, we propose to extend a mobile data collection software solution and adopt one of the key data collection methods. In this paper, we tested our smart data collection process via the ODK-X software suite and were able to identify the added value of our process compared to the one used by default during collection.

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Meta-Analysis of Data Collect Methods

Cited by 5 publications

References 18 publications

The effect of religiosity on life satisfaction: A meta-analysis

The effect of religiosity on life satisfaction: A meta-analysis

LISUNGIcovid19: Prototype of mobile application to help manage the way out of covid-19 crisis

ODK-X: From A Classic Process To A Smart Data Collection Process

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