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  • ...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
  • ...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

Page text matches

  • ...[[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
  • # To support efficiency for the data collector # To support quality assurance and ease of analyzing the collected data
    6 KB (881 words) - 14:57, 8 May 2024
  • ...''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
  • ...lation for an '''impact evaluation'''. Similary, in some cases, monitoring data can help assess who received the [[Randomized_Evaluations:_Principles_of_St ...[[Remote Sensing|sensors]], [[Telecom Data|telecom]], and [[Crowd-sourced Data|crowd-sourcing]].
    8 KB (1,201 words) - 17:14, 14 August 2023
  • <onlyinclude>This article covers the procurement process for the data collection agency. </onlyinclude> ...ically only employed for pilots, survey audits, or small-scale qualitative data collection. This article focuses on the first case, in which the research t
    5 KB (742 words) - 12:42, 1 June 2021
  • ...roject, so that the team will not have to search through communications or data archives for small details at [[Dissemination|publication]] time. * Methods of [[Sampling|sampling]] or other sources of data about selecting the [[Unit of Observation|units of observation]] that were
    7 KB (988 words) - 18:33, 14 August 2023
  • <onlyinclude>Data collection is often done through a local research or survey firm. Survey fi ...and trustworthy survey firm is the most important step in [[Preparing for Data Collection]].
    2 KB (213 words) - 19:28, 4 June 2020
  • ...ates|duplicate checking]] and [[Iecompdup|resolution]]; [[Iecodebook#Apply|data cleaning]] and [[Iecodebook#Append and Harmonize|survey harmonization]]; an * [https://www.worldbank.org/en/research/dime/data-and-analytics DIME Analytics] has conducted a [https://osf.io/csmxz/ bootca
    7 KB (950 words) - 15:09, 13 April 2021
  • ...ning]], [[Data Analysis | analyzing]], or [[Publishing Data | publishing]] data. ...a Collection|data collection]] or [[Monitoring Data Quality | monitoring]] data.
    11 KB (1,543 words) - 14:00, 17 August 2023
  • ...llow before starting with the process of [[Primary Data Collection|primary data collection]]. ...llection]] details the workflow from start to finish involved in gathering data through [[Field Surveys|surveys]], interviews, or experiments.
    16 KB (2,377 words) - 13:48, 17 August 2023
  • ...]]</code> package developed by [https://www.worldbank.org/en/research/dime/data-and-analytics DIME Analytics]. <code>Iekdensity</code> allows users to easi ...ata]] to simplify the process of [[Data Management|data management]] and [[Data Analysis|analysis]] in '''impact evaluations'''.
    3 KB (462 words) - 16:00, 14 August 2023
  • ...and [[Training Guidelines: Content and Structure|field manuals]], primary data has become the dominant source for empirical inquiry in development economi ...urveys|Field surveys]] are one of the most effective medium for '''primary data collection'''. Depending on the research question, these interviews may tak
    23 KB (3,193 words) - 18:41, 5 July 2023
  • This article provides guidance for how to collect data on sensitive topics. === Survey Design for Sensitive Data ===
    3 KB (385 words) - 18:34, 9 August 2023
  • *During [[Primary Data Collection | data collection]] and [[Data Analysis | analysis]], make sure to consider and account for differential t ...the setting in which the interaction is conducted, researchers can use the data collected to estimate causal differences in outcomes. Other designs like en
    5 KB (662 words) - 14:50, 13 April 2021
  • [[SurveyCTO Additional Topics#Collecting Sensor Data]] * Add labels to the '''SurveyCTO form''' to speed up data import and [[Data Cleaning |cleaning]].
    11 KB (1,644 words) - 23:53, 20 July 2023
  • ...A good pilot helps to improve the quality of the [[Primary Data Collection|data collection process]] and the [[Survey Protocols|survey protocols]]. ...back can help improve the overall quality of the [[Primary Data Collection|data collection process]]. This is particularly important when the '''field team
    9 KB (1,334 words) - 17:17, 6 May 2021
  • ...iers to this goal should be part of the [[Data Quality Assurance Plan|data quality assurance plan]]. ...rson is found, but some of their info is actually wrong in the '''tracking data''' (such as a wrong birthdate or address). This makes it hard for '''enumer
    12 KB (1,865 words) - 14:10, 7 August 2023
  • *The info used can be maps or other images and/or statistical data such as distances to other points, boundaries, roads or public services. ...to agricultural plot mapping in SurveyCTO and the ability to process this data is also improving quickly.
    4 KB (568 words) - 14:22, 9 August 2023
  • ...iefieldkit]]</code> created by [https://www.worldbank.org/en/research/dime/data-and-analytics DIME Analytics]. The <code>iecompdup</code> command helps the ...>, which has been developed by [https://www.worldbank.org/en/research/dime/data-and-analytics DIME Analytics].
    11 KB (1,642 words) - 19:57, 15 August 2023
  • ...sh clear channels for regular communication among everyone involved in the data collection- the research team, government agencies, survey firm, and enumer * [[Remote Surveys|Remote surveys]] are useful for collecting data in cases where [[Field Surveys|field surveys]] are either too expensive, or
    17 KB (2,499 words) - 19:34, 11 November 2021
  • ...|principal investigators (PIs)]] oversee the overall [[Preparing for Field Data Collection|preparation]] and finalize the [[Survey Protocols|survey protoco ! style="height:50px; width:250px; text-align:center;"| Stage 3 - Data-focused Pilot
    8 KB (1,160 words) - 18:50, 14 August 2023
  • ...ding practices''', packages, and commands are a critical component of high quality [[Reproducible Research | reproducible research]]. These practices also all * [https://www.worldbank.org/en/research/dime/data-and-analytics DIME Analytics] and institutions like [https://github.com/Po
    14 KB (2,054 words) - 07:36, 31 August 2023
  • ...Data Quality|high quality data]] before [[Data Cleaning | cleaning]] and [[Data Analysis | analysis]]. ...>, which has been developed by [https://www.worldbank.org/en/research/dime/data-and-analytics DIME Analytics].
    13 KB (1,931 words) - 20:40, 11 August 2023
  • ...ion]], a sound [[DataWork Folder | data folder]] set-up, and an unbiased [[Data Analysis | analysis]]. This page discusses unit of observation in the conte ...identifying the unit of observation is the first step to understanding the data.
    5 KB (763 words) - 17:50, 21 May 2019
  • ...o improve the quality of code, [https://www.worldbank.org/en/research/dime/data-and-analytics DIME Analytics] has developed '''Stata linter''', a Stata pac ...ME Analytics Stata Style Guide], and the [https://worldbank.github.io/dime-data-handbook/coding.html DIME Analytics Coding Guide].
    13 KB (1,754 words) - 14:31, 1 March 2023
  • ...evaluation, responsible for leading the evaluation design, [[Data Analysis|data analysis]], and the final academic paper. They are also responsible for the * Supervising all [[Primary Data Collction|data collection]] in the field and serving as focal point for communication with
    5 KB (704 words) - 20:44, 9 August 2023
  • ...ary Data Collection|primary data collection]], with an aim to promote high quality [[Reproducible Research|reproducible research]]. * [https://www.worldbank.org/en/research/dime/data-and-analytics DIME Analytics] has conducted a [https://osf.io/csmxz/ bootca
    6 KB (809 words) - 14:24, 13 April 2021
  • ...'' is an extremely important part of the [[Primary Data Collection|primary data collection]], and should be planned in advance. It is a joint effort betwee ...more enumerators than are required for the [[Primary Data Collection|field data collection]].
    24 KB (3,581 words) - 18:57, 28 June 2023
  • ...ken in the study area. It is a vital component of a high quality [[Primary Data Collection|survey]]. Incomplete or inaccurate translations can, at best, re ...d errors, and can potentially lead to inaccurate [[Primary Data Collection|data collection]]. The '''research team''' must remember that effective or accur
    11 KB (1,563 words) - 14:52, 13 April 2021
  • ...ing | cleaning]] and [[Data Analysis | analysis]] that may affect results. Data documentation is not a one-time requirement or retrospective task, but rath ...ding sampling, field work dates, respondent tracking, issues in the field, data cleaning, and datasets.
    6 KB (799 words) - 13:12, 31 March 2022
  • ...e various components of your data work in order to increase the quality of data, as well as of research. ...tart creating a data map is before starting with [[Primary Data Collection|data collection]].
    9 KB (1,341 words) - 14:14, 14 August 2023
  • ...g, [[Administrative and Monitoring Data | administrative]], and secondary data. DIME strongly recommends using the DataWork folder from the beginning of t ...file]], Survey Round folders, a Survey Encrypted Data folder, and a Master Data folder. It may also contain additional documentation (i.e. readme) to help
    8 KB (1,155 words) - 14:31, 12 June 2019

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