...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
...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
...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
...'' 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
...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
...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
...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
...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
...g for anything complicated or sensitive). One '''enumerator''' assigned to quality control went around towards the end of the day to make sure no households w
This article is part of the topic [[Preparing for Data Collection]]
3 KB (467 words) - 15:00, 7 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
...'', which allow researchers to perform and [[Data Documentation|document]] data cleaning tasks in Excel itself, instead of using '''do-files'''.
...>, which has been developed by [https://www.worldbank.org/en/research/dime/data-and-analytics DIME Analytics].
25 KB (3,735 words) - 23:33, 7 February 2022
...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
...s is the process of exploring and describing trends and results from data. Data analysis typically occurs in two stages: exploratory analysis and final ana
* Always [[Data Cleaning | clean]] data before conducting data analysis.
6 KB (801 words) - 18:27, 9 August 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
...ming|questionnaire]] in many different ways, the time it will take and the quality of the final product depends on how the work is planned. This article outli
...' in SurveyCTO. Skipping this step almost always leads to issues with data quality.
12 KB (2,003 words) - 19:07, 2 August 2023
...llite products, available [[Master Datasets|datasets]], and how to extract data for impact evaluation.
[https://landsat.gsfc.nasa.gov/landsat-7-science-data-users-handbook/ USGS Landsat 7 Raw Scenes (Orthorectified)]
10 KB (1,486 words) - 20:14, 8 August 2023
...ey play an important role in ensuring high quality, consistently collected data. This page outlines five key survey protocols and provides insight on how t
...s the original sample, and provide that to the field teams at the start of data collection.
4 KB (624 words) - 16:18, 11 July 2022
