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Locate two articles peer-review articles from the IEEE or EBSCO database that discuss different data collection or business analytics techniques, then compare and contrast the different techniques focusing on how the differences can be beneficial or detrimental. 
Respond to my classmate’s post to the above STATEMENT on why you agree  (MINIMUM OF 150 WORDS)
                                                       CLASSMATE’S POST
Ecological Momentary Assessment: Enriching Knowledge of Occupation Using App-based Research Methodology
This article discusses “ecological momentary assessment (EMA) and outlines factors that guide the process of designing a project. EMA methodology is a research methodology that uses electronic devices and specially designed software, or Apps, to collect real-time data. This methodology may enhance the ecological validity of research by collecting data about daily occupations in situated contexts, such as daily activity and iin relation to personal experiences (Kiepek, 2018).” It is preferred over the use of time-use diaries which are often used in occupation related research. There are many different apps and programs available, the researcher will need to make sure of the ownership of the data collected. When using existiing software, there can be some limitations when individualizing the data collection instrument. 
“Factors affecting the quality of data collection include participant burden, rate of prompting, repetitiveness of questions, attentiveness to the process, a tendency toward primacy (choosing the first response option for every item), and potential for another person to complete one or more of the tasks. Factors associated with missed prompts include failure to hear or see a signaled prompt (e.g., loud environment; device muted, switched off, or out of battery), being engaged in specific occupations that cannot be interrupted (e.g., taking a school test, working, driving a car), lack of access to data services, or prompts sent at times when the client is asleep (Kiepek, 2018).”
Paradata analyses to inform populationbased survey capture of pregnancy outcomes: EN-INDEPTH study
Paradata are (timestamped) records tracking the process of (electronic) data collection. The data analyzed came from a survey of questions “capturing pregnancy outcomes to assess performance (timing and correction processes). They also examined how paradata can be used to inform and improve questionnaire design and survey implementation in nationally representative household surveys, the major source for maternal and newborn health data worldwide (Gordeev, V. S. et al., 2021).”

 
Paradata is used to inform and improve questionnaire design and survey implementation. ‘The use of questionnaire paradata has the potential to improve measurement and the resultant quality of electronic data. Identifying sections or specific questions with multiple corrections sheds light on typically hidden challenges in the survey’s content, process, and administration, allowing for earlier real-time intervention (e.g.,, questionnaire content revision or additional staff training). Given the size and complexity of paradata, additional time, data management, and programming skills are required to realise its potential (Gordeev, V. S. et al., 2021).”
The app-based research methodology would appear to be the most beneficial. With technological advances, additional data can even be obtained such as environmental (location) and personal (heart beat, temperature). However, it relies on the participant’s compliance and cognitive abilities. With paradata, it works to ensure that the data acquired will be quality data, which in the long run has the greatest overall potential. 
References:
Kiepek, N. (2018). Ecological Momentary Assessment: Enriching Knowledge of Occupation Using App-based Research Methodology. Open Journal of Occupational Therapy (OJOT), 6(3), 1–8. https://doi.org/10.15453/2168-6408.1425
Gordeev, V. S., Akuze, J., Baschieri, A., Thysen, S. M., Dzabeng, F., Haider, M. M., Smuk, M., Wild, M., Lokshin, M. M., Yitayew, T. A., Abebe, S. M., Natukwatsa, D., Gyezaho, C., Amenga-Etego, S., Lawn, J. E., Blencowe, H., the Every Newborn-INDEPTH Study Collaborative Group, Byass, P., Tollman, S. M., & Godefay, H. (2021). Paradata analyses to inform population-based survey capture of pregnancy outcomes: EN-INDEPTH study. Population Health Metrics, 19, 1–14. https://doi.org/10.1186/s12963-020-00241-0

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