...[[Master Dataset|dataset]]. If these errors are made systematically by the data collection team, they can induce biases of unknown size and direction into
...tion; it ensures timely, consistent and accurate [[Primary Data Collection|data collection]].
3 KB (364 words) - 17:01, 8 August 2023
..., The DIME Wiki details the latest technological advances in electronic '''data collection''' in a manner suitable for users of varying levels of expertise
...cs team, an initiative aimed to provide [[Data Quality Assurance Plan|data quality assurance]] to all DIME '''impact evaluations'''. The Wiki is funded by the
2 KB (235 words) - 18:11, 7 August 2023
...behind low quality data and outlines key processes to include in the data quality assurance plan.
...an be low quality because of respondent fatigue, enumerator error, or poor quality control.
5 KB (804 words) - 18:43, 16 August 2023
...'''survey'''. This is important to ensure [[Monitoring Data Quality | data quality]].
...ck and re-interview the respondent. Other [[Monitoring Data Quality | data quality]] checks depend on uniquely identifying ID [[Variable Construction | variab
4 KB (641 words) - 13:51, 9 August 2023
...<h3><span class="mw-headline" id="Data"><i class="fa fa-database"></i> Data Collection</span></h3>
<li>[[Primary Data Collection]]</li>
7 KB (699 words) - 15:59, 23 October 2023
.... Researchers should aim not to use administrative data in place of survey data but rather in addition to it.
...tive for research teams retrospectively evaluating interventions for which data collection did not occur.
2 KB (286 words) - 15:50, 11 June 2020
...ws (PAPI) | pen-and-paper interview]], which is then followed by real-time data entry completed in the field. This page outlines the advantages and disadva
...expensive, when done well, CAFE '''surveys''' yield reliably high-quality data.
2 KB (322 words) - 16:23, 8 August 2023
...ire Programming | programming]]. These checks should be run every time new data is received, to provide real-time information to the '''field team''' and '
...HFCs)''' are an important aspect of the [[Data Quality Assurance Plan|data quality assurance plan]].
9 KB (1,394 words) - 18:29, 28 June 2023
...'''Crowdsourced Data''' is a form of [[Secondary Data Sources | secondary data]].
...ta that is collected by any party other than the researcher. ''' Secondary data''' provides important context for any investigation into a policy intervent
5 KB (601 words) - 16:37, 7 August 2023
...y Pilot|survey]] where the initial [[Master Dataset|dataset]] is [[Primary Data Collection|collected]] using pen and paper rather than electronic devices.
...ry quickly at small scale, making them ideal for [[Primary Data Collection|data collection]] pilots where continual redevelopment or reorganization of '''s
2 KB (334 words) - 17:01, 7 August 2023
...of the '''data collection''' to [[Data Quality Assurance Plan|improve data quality]].
...a Collection|data collection]], and [[Monitoring Data Quality|monitor data quality]].
10 KB (1,515 words) - 19:49, 16 August 2023
...guages is imperative for anyone who wants to code a large and complex high quality CAPI questionnaire.
...from a blank paper to final code, and how to maintain a protocol for high quality throughout that process. This topic also lists a lot of tools that will be
6 KB (910 words) - 18:32, 29 April 2021
# Manage and oversee household '''survey''' [[Primary Data Collection|data collection]]
# [[Monitoring Data Quality|Monitor data quality]]
6 KB (902 words) - 14:45, 11 August 2023
...sing good naming conventions for variables allows others who are using the data to not only understand the purpose of the variable, but also its type (such
...naire design]] is an important aspect of [[Primary Data Collection|primary data collection]].
6 KB (819 words) - 14:24, 13 April 2021
...''field survey''' among local farmers to [[Primary Data Collection|collect data]] on farmer incomes and farm outputs.
* '''Primary data''' is vital for conducting empirical inquiry in the field of development ec
8 KB (1,202 words) - 18:08, 6 July 2023
Computer-Assisted Personal Interviews (CAPI) is a face-to-face data collection method in which the interviewer uses a tablet, mobile phone or a
* CAPI helps to ensure high quality data by facilitating logic checks, skip patterns, validations, high frequency ch
8 KB (1,118 words) - 19:43, 16 August 2023
...s can often be expensive. Secondly, they are a great option for collecting data during emergencies or in conflict areas while still retaining the personal
...llection--A9CFqkgXd2C4oV08Co1dwlPBAg-DVhtGiokwboliGBqmjYfS guide on remote data collection].
15 KB (2,031 words) - 19:58, 5 April 2022
...process, we would also need to [[Primary Data Collection|collect baseline data]] on demographics and output in previous period, in order to ensure our '''
...ervention timeline is completed, we will [[Primary Data Collection|collect data]] on farm outputs again for the two groups and compare.
8 KB (1,106 words) - 17:31, 14 August 2023
...stage using [[Power Calculations in Stata | Stata]]. This page covers what data and key parameters are used in power calculations. .
==Data for Power Calculations==
11 KB (1,560 words) - 13:32, 17 August 2023
...and [[Monitoring Data Quality#Real-Time Data Quality Checks|real-time data quality checks]]. Each of these steps allow the '''research team''' to identify and
...in the field, and is part of the wider [[Data Quality Assurance Plan|data quality assurance plan]].
22 KB (3,200 words) - 18:32, 28 June 2023
