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  • ...n]], and [[Monitoring Data Quality#Real-Time Data Quality Checks|real-time data quality checks]]. Each of these steps allow the '''research team''' to iden ...ty''' 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

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
  • ...t for any investigation, and in some cases (such as administrative program data), it is the only source which covers the full population needed to conduct ...ories of data - [[Primary Data Collection|primary data]], and '''secondary data'''.
    3 KB (444 words) - 15:42, 16 August 2023
  • ...the '''survey'''. This is important to ensure [[Monitoring Data Quality | data quality]]. ...go back and re-interview the respondent. Other [[Monitoring Data Quality | data quality]] checks depend on uniquely identifying ID [[Variable Construction
    4 KB (641 words) - 13:51, 9 August 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
  • ...data, [[Administrative and Monitoring Data | administrative and monitoring data]], etc. ...omponent of using a [[Data Map|data map]] to organize [[Research Data Work|data work]].
    13 KB (1,902 words) - 20:27, 3 August 2023
  • ...They are also a useful tool to communicate to the rest of the team, and [[Data Documentation|document]] how the '''analysis datasets''' are created using ...arch/dime/data-and-analytics DIME Analytics] to organize 3 main aspects of data work:
    7 KB (1,090 words) - 20:34, 14 August 2023
  • ...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
  • ...evaluation, responsible for leading the evaluation design, [[Data Analysis|data analysis]], and the final academic paper. They are also responsible for the ...ng the team on all impact evaluation related activities and supporting the monitoring and evaluation (M&E) staff.
    5 KB (704 words) - 20:44, 9 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
  • ..., The DIME Wiki details the latest technological advances in electronic '''data collection''' in a manner suitable for users of varying levels of expertise ...alytics team, an initiative aimed to provide [[Data Quality Assurance Plan|data quality assurance]] to all DIME '''impact evaluations'''. The Wiki is funde
    2 KB (235 words) - 18:11, 7 August 2023
  • ...ment for [[Procuring a Survey Firm | survey firm procurement]] and ongoing monitoring of '''survey firm''' performance. This page suggests the scope of work for # Manage and oversee household '''survey''' [[Primary Data Collection|data collection]]
    6 KB (902 words) - 14:45, 11 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 ' ...cks (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
  • ...n]], and [[Monitoring Data Quality#Real-Time Data Quality Checks|real-time data quality checks]]. Each of these steps allow the '''research team''' to iden ...ty''' 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
  • ...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
  • ...|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
  • ...asons behind low quality data and outlines key processes to include in the data quality assurance plan. *Data can be low quality because of respondent fatigue, enumerator error, or poor
    5 KB (804 words) - 18:43, 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
  • ...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
  • ...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
  • ...ects of the '''data collection''' to [[Data Quality Assurance Plan|improve data quality]]. ...y Data Collection|data collection]], and [[Monitoring Data Quality|monitor data quality]].
    10 KB (1,515 words) - 19:49, 16 August 2023
  • ...uiding intervention design, [[Primary Data Collection|data collection]], [[Data Analysis|analysis]], and reporting. ...g evaluators towards the “what” and “when” of evaluation and strengthening monitoring systems overall.
    3 KB (434 words) - 17:50, 9 August 2023
  • ...ata sources, such as information gathered during [[Survey Pilot|surveys]], data can be collected from a variety of alternative sources. ...to mind when people talk about collecting data. It consists of gathering data through [[Survey Pilot|surveys]], interviews, or experiments.
    10 KB (1,543 words) - 15:57, 3 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
  • ...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
  • Computer-Assisted Personal Interviews (CAPI) is a face-to-face data collection method in which the interviewer uses a tablet, mobile phone or a ...checks, skip patterns, validations, high frequency checks, and enumerator monitoring.
    8 KB (1,118 words) - 19:43, 16 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
  • ...barriers 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
  • ...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
  • ...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
  • ...dity of results of a study. Note that Research Ethics and [[Data Security|data security]] go hand-in-hand. ...|reproducibility]], [[Data Security|data security]], and [[Publishing Data|data publication]] - ensures greater validity for the results of a research stud
    16 KB (2,145 words) - 20:22, 16 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
  • ...a Quality | monitoring data quality]], [[Data Cleaning | cleaning]], and [[Data Analysis | analysis]]. Good '''Stata coding practices''', packages, and com * [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
  • [[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
  • ...t they are by far the most common reason for quality issues in CAPI survey data. ...programming your questionnaire. Best practice (and easiest) is to develop data quality checks in parallel to coding your the questionnaire.
    6 KB (910 words) - 18:32, 29 April 2021
  • ...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
  • ...''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
  • ...lder|DataWork folder]], DIME's standardized folder template for organizing data work in a project folder. The DataWork Survey Round folder is useful throug *The DataWork Survey Round folder organizes all data-related elements of the project: [[Questionnaire Design | questionnaires]],
    10 KB (1,577 words) - 14:28, 12 June 2019
  • ...anges to a '''questionnaire''', you change the file to which the submitted data is saved. ...d on third party cloud '''servers''' and '''encryption''' ensures that the data does not end up in wrong hands in the case of a security breach.
    11 KB (1,742 words) - 19:05, 2 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
  • ...onnaire Programming|programming]], [[Survey Pilot#Stages of a Survey Pilot|data-focused pilot]], and [[Questionnaire Translation|translation]]. This proces ...ch team can try to use [[Administrative and Monitoring Data|administrative data]] where possible, instead of asking '''respondents''' about their income ov
    19 KB (2,671 words) - 16:57, 29 June 2023
  • ...o scheduling interviews, [[Sampling|sampling]], and [[Geo Spatial Data|geo data]]. ...ey pilot''' includes 3 stages: a pre-pilot, a content-focused pilot, and a data-focused pilot.
    14 KB (1,976 words) - 18:58, 28 June 2023
  • ...otocols|protocols]], [[Questionnaire Design|content]], and [[Data Security|data security]]. The '''research team''' must seek '''IRB approval''' to ensure * [https://www.worldbank.org/en/research/dime/data-and-analytics DIME Analytics] has compiled the [https://github.com/worldban
    14 KB (1,887 words) - 20:25, 16 August 2023
  • ...'' 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
  • ...earch_Assistant|Research Assistant]] (RA). This page outlines the goals of data cleaning, recommends role division, outlines common issues encountered, and *The goal of data cleaning is to clean individual data points and to make the [[Master Dataset|dataset]] easily usable and underst
    15 KB (2,248 words) - 18:09, 14 August 2023
  • ...cibility''' allows other researchers to [[Data Analysis|analyze]] the same data to get the same results as the original study, which strengthens the conclu * [https://www.worldbank.org/en/research/dime/data-and-analytics DIME Analytics] has created the [https://github.com/worldbank
    22 KB (3,101 words) - 17:28, 30 June 2023
  • '''It is NOT recommended for use in data collection forms as it is not replicable in this format''', though it is a ...ch is not always shown: required means that if the field is displayed then data needs to be recorded for this field before the [[Enumerator Training|enumer
    16 KB (2,522 words) - 18:32, 23 July 2023