https://dimewiki.worldbank.org/api.php?action=feedcontributions&user=Aidan&feedformat=atomDimewiki - User contributions [en]2024-03-29T00:11:19ZUser contributionsMediaWiki 1.37.2https://dimewiki.worldbank.org/index.php?title=Reproducible_Research&diff=3399Reproducible Research2017-11-06T20:35:33Z<p>Aidan: /* Pre-Analysis Plan */</p>
<hr />
<div>== Guidelines ==<br />
=== Pre-registration ===<br />
Trial registries offer researchers the chance to upload and timestamp their study designs before they have been conducted. The aim of these registries is to build research transparency by reducing selective reporting and provide researchers with an overview of ongoing studies in their field. While trial registration is commonplace in the clinical health trials (see, for example, https://clinicaltrials.gov/), their use in development economics is more recent.<br />
<br />
====Where can I register?====<br />
The American Economic Association (AEA) hosts a trial registry specifically for randomized controlled trials[https://www.socialscienceregistry.org/]. The international Initiative for Impact Evaluation (3ie) provides a registry for experimental and quasi-experimental research in developing countries [http://www.ridie.org/]. <br />
<br />
====What information should be included?====<br />
The information required for registering a trial typically includes the country and title, a brief description of the project, timeline, outcomes, sample size, study design, and ethical approval details. Some of the details provided can be uploaded and time stamped, but hidden from public view prior to study completion. A pre-analysis plan can be uploaded providing a detailed description of how the analysis will be conducted, but this is typically not mandatory for registration. <br />
<br />
====When should I register?====<br />
While clinical trials in health are expected to be registered before patient enrolment [http://icmje.org/recommendations/browse/publishing-and-editorial-issues/clinical-trial-registration.html], there is currently no formal requirement for development economics trials to be registered by a particular stage of the research. In cases where intervention delivery is uncertain, development economics researchers wait to register their trials after baseline and interventions have been completed, but before any follow up data collection or analysis [http://blogs.worldbank.org/impactevaluations/trying-out-new-trial-registries].<br />
<br />
=== [[Pre-Analysis Plan]] ===<br />
A pre-analysis plan (PAP) lays out how the researcher will analyze data, at the design stage of an impact evaluation. The objective of a PAP is to prevent data mining and specification searching. The development impact blog provides a checklist of what to include in a PAP [http://blogs.worldbank.org/impactevaluations/a-pre-analysis-plan-checklist]. <br />
<br />
While most economics journals do not currently require PAPs as a condition for publication, researchers may choose to produce a PAP prior to data analysis to: (i) increase the credibility of their findings; and (ii) help researchers finetune their analysis strategy.<br />
<br />
While PAPs provide the benefit of potentially reducing the prevalence of spurious results, this comes at the cost of tying researcher hands more formally to ex ante analysis plans that may limit the potential of exploratory learning. Benjamin Olken provides a summary of the costs and benefits associated with fully pre-specifying the analysis for a development economics RCT [https://www.aeaweb.org/articles?id=10.1257/jep.29.3.61]. He notes that "forcing all papers to be fully pre-specified from start to end would likely results in simpler papers, which could potentially lose some of the nuance of current work", but that "in many contexts, pre-specification of one (or a few) key primary outcome variables, statistical specifications, and control variables offers a number of advantages".<br />
<br />
=== Code replication ===<br />
<br />
<br />
=== Data publication ===<br />
<br />
<br />
=== Software for reproducible research ===<br />
Git is a free version-control software. Files are stored in Git Repositories, most commonly on [https://github.com/ GitHub]. To learn GitHub, there is an [https://services.github.com/on-demand/intro-to-github/ introductory training] available through GitHub Services, and multiple tutorials available through [https://guides.github.com/ GitHub Guides]<br />
<br />
<br />
== Additional Resources ==<br />
<br />
<br />
From the Abul Latif Jameel Poverty Action Lab (JPAL)<br />
* [https://www.povertyactionlab.org/research-resources/transparency-and-reproducibility Transparency and Reproducibility]<br />
<br />
<br />
From Innovations for Policy Action (IPA)<br />
* [http://www.poverty-action.org/sites/default/files/publications/IPA%27s%20Best%20Practices%20for%20Data%20and%20Code%20Management_Nov2015.pdf Reproducible Research: Best Practices for Data and Code Management] <br />
* [http://www.poverty-action.org/sites/default/files/Guidelines-for-data-publication.pdf Guidelines for data publication]<br />
* [https://dataverse.harvard.edu/dataverse/socialsciencercts Randomized Control Trials in the Social Science Dataverse]<br />
<br />
<br />
Center for Open Science<br />
* [https://cos.io/our-services/top-guidelines/ Transparency and Openness Guidelines], summarized in a [https://osf.io/pvf56/?_ga=1.225140506.1057649246.1484691980 1-Page Handout]<br />
<br />
<br />
Berkeley Initiative for Transparency in the Social Sciences<br />
* [http://www.bitss.org/education/manual-of-best-practices/ Manual of Best Practices in Transparent Social Science Research]<br />
<br />
<br />
Johns Hopkins<br />
* [https://www.coursera.org/learn/reproducible-research Online Course on Reproducible Research]<br />
<br />
[[Category: Reproducible Research]]</div>Aidanhttps://dimewiki.worldbank.org/index.php?title=Reproducible_Research&diff=3398Reproducible Research2017-11-06T20:33:58Z<p>Aidan: /* Pre-Analysis Plan */</p>
<hr />
<div>== Guidelines ==<br />
=== Pre-registration ===<br />
Trial registries offer researchers the chance to upload and timestamp their study designs before they have been conducted. The aim of these registries is to build research transparency by reducing selective reporting and provide researchers with an overview of ongoing studies in their field. While trial registration is commonplace in the clinical health trials (see, for example, https://clinicaltrials.gov/), their use in development economics is more recent.<br />
<br />
====Where can I register?====<br />
The American Economic Association (AEA) hosts a trial registry specifically for randomized controlled trials[https://www.socialscienceregistry.org/]. The international Initiative for Impact Evaluation (3ie) provides a registry for experimental and quasi-experimental research in developing countries [http://www.ridie.org/]. <br />
<br />
====What information should be included?====<br />
The information required for registering a trial typically includes the country and title, a brief description of the project, timeline, outcomes, sample size, study design, and ethical approval details. Some of the details provided can be uploaded and time stamped, but hidden from public view prior to study completion. A pre-analysis plan can be uploaded providing a detailed description of how the analysis will be conducted, but this is typically not mandatory for registration. <br />
<br />
====When should I register?====<br />
While clinical trials in health are expected to be registered before patient enrolment [http://icmje.org/recommendations/browse/publishing-and-editorial-issues/clinical-trial-registration.html], there is currently no formal requirement for development economics trials to be registered by a particular stage of the research. In cases where intervention delivery is uncertain, development economics researchers wait to register their trials after baseline and interventions have been completed, but before any follow up data collection or analysis [http://blogs.worldbank.org/impactevaluations/trying-out-new-trial-registries].<br />
<br />
=== [[Pre-Analysis Plan]] ===<br />
A pre-analysis plan (PAP) lays out how the researcher will analyze data, at the design stage of an impact evaluation. The objective of a PAP is to prevent data mining and specification searching. The development impact blog provides a checklist of what to include in a PAP [http://blogs.worldbank.org/impactevaluations/a-pre-analysis-plan-checklist]. <br />
<br />
While most economics journals do not currently require PAPs as a condition for publication, researchers may choose to produce a PAP prior to data analysis to: (i) increase the credibility of their findings; and (ii) help researchers finetune their analysis strategy<br />
<br />
While PAPs provide the benefit of potentially reducing the prevalence of spurious results, this comes at the cost of tying researcher hands more formally to ex ante analysis plans that may limit the potential of exploratory learning. Benjamin Olken provides a summary of the costs and benefits associated with fully pre-specifying the analysis for a development economics RCT [https://www.aeaweb.org/articles?id=10.1257/jep.29.3.61]. notes that "Forcing all papers to be fully pre-specified from start to end would likely results in simplewr papers, which could potentially lose some of the nuance of current work", but that " in many contexts, pre-specification of one (or a few) key primary outcome variables, statistical specifications, and control variables offers a number of advantages".<br />
<br />
=== Code replication ===<br />
<br />
<br />
=== Data publication ===<br />
<br />
<br />
=== Software for reproducible research ===<br />
Git is a free version-control software. Files are stored in Git Repositories, most commonly on [https://github.com/ GitHub]. To learn GitHub, there is an [https://services.github.com/on-demand/intro-to-github/ introductory training] available through GitHub Services, and multiple tutorials available through [https://guides.github.com/ GitHub Guides]<br />
<br />
<br />
== Additional Resources ==<br />
<br />
<br />
From the Abul Latif Jameel Poverty Action Lab (JPAL)<br />
* [https://www.povertyactionlab.org/research-resources/transparency-and-reproducibility Transparency and Reproducibility]<br />
<br />
<br />
From Innovations for Policy Action (IPA)<br />
* [http://www.poverty-action.org/sites/default/files/publications/IPA%27s%20Best%20Practices%20for%20Data%20and%20Code%20Management_Nov2015.pdf Reproducible Research: Best Practices for Data and Code Management] <br />
* [http://www.poverty-action.org/sites/default/files/Guidelines-for-data-publication.pdf Guidelines for data publication]<br />
* [https://dataverse.harvard.edu/dataverse/socialsciencercts Randomized Control Trials in the Social Science Dataverse]<br />
<br />
<br />
Center for Open Science<br />
* [https://cos.io/our-services/top-guidelines/ Transparency and Openness Guidelines], summarized in a [https://osf.io/pvf56/?_ga=1.225140506.1057649246.1484691980 1-Page Handout]<br />
<br />
<br />
Berkeley Initiative for Transparency in the Social Sciences<br />
* [http://www.bitss.org/education/manual-of-best-practices/ Manual of Best Practices in Transparent Social Science Research]<br />
<br />
<br />
Johns Hopkins<br />
* [https://www.coursera.org/learn/reproducible-research Online Course on Reproducible Research]<br />
<br />
[[Category: Reproducible Research]]</div>Aidanhttps://dimewiki.worldbank.org/index.php?title=Reproducible_Research&diff=3381Reproducible Research2017-11-06T20:06:52Z<p>Aidan: /* Pre-registration */</p>
<hr />
<div>== Guidelines ==<br />
=== Pre-registration ===<br />
Trial registries offer researchers the chance to upload and timestamp their study designs before they have been conducted. The aim of these registries is to build research transparency by reducing selective reporting and provide researchers with an overview of ongoing studies in their field. While trial registration is commonplace in the clinical health trials (see, for example, https://clinicaltrials.gov/), their use in development economics is more recent.<br />
<br />
====Where can I register?====<br />
The American Economic Association (AEA) hosts a trial registry specifically for randomized controlled trials[https://www.socialscienceregistry.org/]. The international Initiative for Impact Evaluation (3ie) provides a registry for experimental and quasi-experimental research in developing countries [http://www.ridie.org/]. <br />
<br />
====What information should be included?====<br />
The information required for registering a trial typically includes the country and title, a brief description of the project, timeline, outcomes, sample size, study design, and ethical approval details. Some of the details provided can be uploaded and time stamped, but hidden from public view prior to study completion. A pre-analysis plan can be uploaded providing a detailed description of how the analysis will be conducted, but this is typically not mandatory for registration. <br />
<br />
====When should I register?====<br />
While clinical trials in health are expected to be registered before patient enrolment [http://icmje.org/recommendations/browse/publishing-and-editorial-issues/clinical-trial-registration.html], there is currently no formal requirement for development economics trials to be registered by a particular stage of the research. In cases where intervention delivery is uncertain, development economics researchers wait to register their trials after baseline and interventions have been completed, but before any follow up data collection or analysis [http://blogs.worldbank.org/impactevaluations/trying-out-new-trial-registries].<br />
<br />
=== [[Pre-Analysis Plan]] ===<br />
A pre-analysis plan (PAP) lays out how the researcher will analyze data, at the design stage of an impact evaluation. The objective of a PAP is to prevent data mining and specification searching.<br />
<br />
=== Code replication ===<br />
<br />
<br />
=== Data publication ===<br />
<br />
<br />
=== Software for reproducible research ===<br />
Git is a free version-control software. Files are stored in Git Repositories, most commonly on [https://github.com/ GitHub]. To learn GitHub, there is an [https://services.github.com/on-demand/intro-to-github/ introductory training] available through GitHub Services, and multiple tutorials available through [https://guides.github.com/ GitHub Guides]<br />
<br />
<br />
== Additional Resources ==<br />
<br />
<br />
From the Abul Latif Jameel Poverty Action Lab (JPAL)<br />
* [https://www.povertyactionlab.org/research-resources/transparency-and-reproducibility Transparency and Reproducibility]<br />
<br />
<br />
From Innovations for Policy Action (IPA)<br />
* [http://www.poverty-action.org/sites/default/files/publications/IPA%27s%20Best%20Practices%20for%20Data%20and%20Code%20Management_Nov2015.pdf Reproducible Research: Best Practices for Data and Code Management] <br />
* [http://www.poverty-action.org/sites/default/files/Guidelines-for-data-publication.pdf Guidelines for data publication]<br />
* [https://dataverse.harvard.edu/dataverse/socialsciencercts Randomized Control Trials in the Social Science Dataverse]<br />
<br />
<br />
Center for Open Science<br />
* [https://cos.io/our-services/top-guidelines/ Transparency and Openness Guidelines], summarized in a [https://osf.io/pvf56/?_ga=1.225140506.1057649246.1484691980 1-Page Handout]<br />
<br />
<br />
Berkeley Initiative for Transparency in the Social Sciences<br />
* [http://www.bitss.org/education/manual-of-best-practices/ Manual of Best Practices in Transparent Social Science Research]<br />
<br />
<br />
Johns Hopkins<br />
* [https://www.coursera.org/learn/reproducible-research Online Course on Reproducible Research]<br />
<br />
[[Category: Reproducible Research]]</div>Aidanhttps://dimewiki.worldbank.org/index.php?title=Reproducible_Research&diff=3380Reproducible Research2017-11-06T20:05:02Z<p>Aidan: /* Pre-registration */</p>
<hr />
<div>== Guidelines ==<br />
=== Pre-registration ===<br />
[https://www.socialscienceregistry.org/ AEA RCT Registry]<br />
Trial registries offer researchers the chance to upload and timestamp their study designs before they have been conducted. The aim of these registries is to build research transparency by reducing selective reporting and provide researchers with an overview of ongoing studies in their field. While trial registration is commonplace in the clinical health trials (see, for example, https://clinicaltrials.gov/), their use in development economics is more recent.<br />
<br />
Where can I register?<br />
The American Economic Association (AEA) hosts a trial registry specifically for randomized controlled trials[https://www.socialscienceregistry.org/]. The international Initiative for Impact Evaluation (3ie) provides a registry for experimental and quasi-experimental research in developing countries [http://www.ridie.org/]. <br />
<br />
What information should be included?<br />
The information required for registering a trial typically includes the country and title, a brief description of the project, timeline, outcomes, sample size, study design, and ethical approval details. Some of the details provided can be uploaded and time stamped, but hidden from public view prior to study completion. A pre-analysis plan can be uploaded providing a detailed description of how the analysis will be conducted, but this is typically not mandatory for registration. <br />
<br />
When should I register?<br />
While clinical trials in health are expected to be registered before patient enrolment [http://icmje.org/recommendations/browse/publishing-and-editorial-issues/clinical-trial-registration.html], there is currently no formal requirement for development economics trials to be registered by a particular stage of the research. In cases where intervention delivery is uncertain, development economics researchers wait to register their trials after baseline and interventions have been completed, but before any follow up data collection or analysis [http://blogs.worldbank.org/impactevaluations/trying-out-new-trial-registries].<br />
<br />
=== [[Pre-Analysis Plan]] ===<br />
A pre-analysis plan (PAP) lays out how the researcher will analyze data, at the design stage of an impact evaluation. The objective of a PAP is to prevent data mining and specification searching.<br />
<br />
=== Code replication ===<br />
<br />
<br />
=== Data publication ===<br />
<br />
<br />
=== Software for reproducible research ===<br />
Git is a free version-control software. Files are stored in Git Repositories, most commonly on [https://github.com/ GitHub]. To learn GitHub, there is an [https://services.github.com/on-demand/intro-to-github/ introductory training] available through GitHub Services, and multiple tutorials available through [https://guides.github.com/ GitHub Guides]<br />
<br />
<br />
== Additional Resources ==<br />
<br />
<br />
From the Abul Latif Jameel Poverty Action Lab (JPAL)<br />
* [https://www.povertyactionlab.org/research-resources/transparency-and-reproducibility Transparency and Reproducibility]<br />
<br />
<br />
From Innovations for Policy Action (IPA)<br />
* [http://www.poverty-action.org/sites/default/files/publications/IPA%27s%20Best%20Practices%20for%20Data%20and%20Code%20Management_Nov2015.pdf Reproducible Research: Best Practices for Data and Code Management] <br />
* [http://www.poverty-action.org/sites/default/files/Guidelines-for-data-publication.pdf Guidelines for data publication]<br />
* [https://dataverse.harvard.edu/dataverse/socialsciencercts Randomized Control Trials in the Social Science Dataverse]<br />
<br />
<br />
Center for Open Science<br />
* [https://cos.io/our-services/top-guidelines/ Transparency and Openness Guidelines], summarized in a [https://osf.io/pvf56/?_ga=1.225140506.1057649246.1484691980 1-Page Handout]<br />
<br />
<br />
Berkeley Initiative for Transparency in the Social Sciences<br />
* [http://www.bitss.org/education/manual-of-best-practices/ Manual of Best Practices in Transparent Social Science Research]<br />
<br />
<br />
Johns Hopkins<br />
* [https://www.coursera.org/learn/reproducible-research Online Course on Reproducible Research]<br />
<br />
[[Category: Reproducible Research]]</div>Aidanhttps://dimewiki.worldbank.org/index.php?title=Randomization_in_Stata&diff=1787Randomization in Stata2017-02-07T19:59:13Z<p>Aidan: </p>
<hr />
<div>This page describes how and why to use Stata for randomization of control and treatment assignment in an RCT. Common alternatives to using Stata for randomization include: (i) Using the Excel <code> XX </code>command; (ii) Randomizing directly within a chosen electronic survey platform such as SurveyCTO; or (iii) randomization through a public lottery. <br />
<br />
== Why use Stata to randomize == <br />
Using Stata to randomize and then preloading the generated data file into the survey software is generally preferred to using Excel or randomizing within the electronic platform. The main advantages of using Stata for randomization are as follows: <br />
* The process is transparent and reproducible. <br />
* The researcher has more control of the process, allowing you to check randomization balance and add stratification variables if needed. <br />
* Since randomization in Stata is done before the survey takes place (as opposed to randomization through the survey platform. This provides an opportunity to double check the result of a randomization and fix bugs before using the software in the field. <br />
<br />
==Steps needed for replicability when randomizing in Stata ==<br />
<br />
Here are a few steps that should be followed to create a reproducible randomization using Stata:<br />
<br />
* Make sure your dataset includes a unique ID [respondent ID, household number, etc.]. If one doesn't exist yet, you can create one using the <code> XX </code> command. <br />
* While writing a do-file, pay close attention to the following things:<br />
** Set version. Setting Stata's version in a do file ensures that the randomization algorithm is the same, since the algorithm sometimes changes between Stata versions. <br />
** Set seed. This makes sure that the same random number is generated for the first observation, for the second observation, and so on, for every time the code is run. <br />
** Sort the data by the unique ID. The data should be sorted such that observations are in the same order every time the code is run. The most optimal situation is sorting using an ID variable which uniquely and fully identifies each observation.<br />
*Convert the random numbers into categorical variables for treatment or control status.<br />
<br />
The end goal is to have a CSV format file containing the ID variable used for randomization and the categorical variables created from the random numbers generated. This dataset will be preloaded into SurveyCTO, so that after an enumerator enters the respondent ID at the start of a survey, the result of the randomization will be loaded for the form and can be used for various sections of the survey.<br />
<br />
An example of the do-file is as follows:<br />
<br />
<code> <br />
version 12.0 [SETS VERSION]<br />
sort unique_id [SORTS UNIQUE ID]<br />
set seed 12345 [SETS THE RANDOM SEED FOR REPLICATION]<br />
gen random_number = uniform() [GENERATES A RANDOM NUMBER BETWEEN 0 AND 1]<br />
egen ordering = rank(random_number) [ORDERS EACH OBSERVATION FROM SMALLEST TO LARGEST]<br />
gen group = . <br />
replace group = 1 if ordering <= N/2 [ASSIGNS TREATMENT STATUS TO FIRST HALF OF SAMPLE]<br />
replace group = 0 if ordering > N/2 [ASSIGNS CONTROL STATUS TO SECOND HALF OF SAMPLE]<br />
<br />
<br />
</code> <br />
== Randomization with Stratification in Stata == <br />
<br />
The steps to randomize in Stata with stratification is as follows:<br />
<br />
<br />
== Randomization with Multiple Treatment Arms ==<br />
<br />
<br />
== Back to Parent ==<br />
This article is part of the topic [[Randomized Control Trials]]<br />
<br />
[[Category: Impact Evaluation Design]]</div>Aidanhttps://dimewiki.worldbank.org/index.php?title=Randomization_in_Stata&diff=1776Randomization in Stata2017-02-07T19:49:53Z<p>Aidan: </p>
<hr />
<div>This page describes how and why to use Stata for randomization of control and treatment assignment in an RCT. Common alternatives to using Stata for randomization include: (i) Using the Excel command; (ii) Randomizing directly within a chosen electronic survey platform such as SurveyCTO; or (iii) randomization through a public lottery. <br />
<br />
== Why use Stata to randomize == <br />
Using Stata to randomize and then preloading the generated data file into the survey software is generally preferred to using Excel or randomizing within the electronic platform. The main advantages of using Stata for randomization are as follows: <br />
* The process is transparent and reproducible. <br />
* The researcher has more control of the process, allowing you to check randomization balance and add stratification variables if needed. <br />
* Since randomization in Stata is done before the survey takes place (as opposed to randomization through the survey platform. This provides an opportunity to double check the result of a randomization and fix bugs before using the software in the field. <br />
<br />
==Steps needed for replicability when randomizing in Stata ==<br />
<br />
Here are a few steps that should be followed to create a reproducible randomization using Stata:<br />
<br />
* Make sure your dataset includes a unique ID [respondent ID, household number, etc.]. If one doesn't exist yet, you can create one using the XX command. <br />
* While writing a do-file, pay close attention to the following things:<br />
** Set version. Setting Stata's version in a do file ensures that the randomization algorithm is the same, since the algorithm sometimes changes between Stata versions. </br> For example - <code> version 12.0 </code><br />
** Set seed. This makes sure that the same random number is generated for the first observation, for the second observation, and so on, for every time the code is run. </br> For example - <code> set seed 12345 </code><br />
** Properly sorting the data. The data should be sorted such that observations are in the same order every time the code is run. The most optimal situation is sorting using an ID variable which uniquely and fully identifies each observation.<br />
*Convert the random numbers into categorical variables or dummy variables. This helps you check if the data is balanced.<br />
<br />
The end goal is to have a CSV format file containing the ID variable used for randomization and the categorical variables created from the random numbers generated. This dataset will be preloaded into SurveyCTO, so that after an enumerator enters the respondent ID at the start of a survey, the result of the randomization will be loaded for the form and can be used for various sections of the survey.<br />
<br />
== Randomization with Stratification in Stata == <br />
<br />
The steps to randomize in Stata with stratification is as follows:<br />
<br />
<br />
== Randomization with Multiple Treatment Arms ==<br />
<br />
<br />
== Back to Parent ==<br />
This article is part of the topic [[Randomized Control Trials]]<br />
<br />
[[Category: Impact Evaluation Design]]</div>Aidanhttps://dimewiki.worldbank.org/index.php?title=User:Aidan&diff=715User:Aidan2017-01-23T19:53:59Z<p>Aidan: </p>
<hr />
<div>hello<br />
I am aidan<br />
I recently joined ''DIME'' to work for the '''DIME Analytics''' team. Before joining DIME, I worked for the '''''Earthquake Housing Reconstruction Project(EHRP)''''' in Kathmandu, Nepal. <br />
<br />
== Job Description == <br />
<br />
*At DIME, I primarily work with the Wiki where I:<br />
**Develop content related to impact evaluation.<br />
**Conduct review of already existing resources.<br />
*I also support development of Stata packages for Impact Evaluation.<br />
* I work with [[User:Kbjarkefur]], [[User:Maria_jones | Maria]], and [[http://www.worldbank.org/en/about/people/k/kiwako-sakamoto Kiwako]]<br />
<br />
== Personal == <br />
<br />
=== Education === <br />
I got my undergraduate degree in Economics from Reed College in Portland, Oregon, and my Masters degree from the National University of Singapore.<br />
<br />
=== Hobbies ===<br />
<br />
# Watching/playing various sports.<br />
# Printing "Hello World". To print "Hello world", I usually do this <code> print("Hello world") </code><br />
<br />
My favourite page on the wiki is [[Survey pilot]] or the page on [[Questionnaire Programming| programming a questionnaire]].</div>Aidanhttps://dimewiki.worldbank.org/index.php?title=User:Aidan&diff=712User:Aidan2017-01-23T19:50:45Z<p>Aidan: Created page with "hello I am aidan"</p>
<hr />
<div>hello<br />
I am aidan</div>Aidan