RA Internal Survey - August 2021



Introduction

At CoronaNet, we know that RAs are the backbone of the project. We are amazed at your continued engagement and for your continued support in this important project.

The aim of this RA Internal Assessment Survey is to gauge how you view your time at CoronaNet and will also help us identify and assess changes in countries and regions.

Remember, there are no right or wrong answers, this survey will help us to see your point of view, so we would like if you are as honest as possible when answering.

This survey should take around 15-20 minutes. If you code for multiple regions, please take a separate survey for each region that you code.

Thank you for your time and all of your hard work! If anything is unclear, please use the #ra-chat to post your question, as others may have the same issue, as well or email us at


[ra_name]

Please select your name from the drop-down list. If you are not on the list and believe you should be, please contact one of the PIs listed above.

Note: You can find your name more quickly by clicking on the dropdown menu below and typing your name.

  • Joan Barcelo
  • …
  • Patson Manda




[target_date]

What goal are you working towards to get your country region clean and complete until?

  • October 1, 2020
  • March 1, 2021
  • Present day


[actual_cat]

We would now like to have a better of idea of how much progress you made toward this goal. First we would like to get a sense of how evenly coded the data for your country is across the different policy types. Please select one of the following, note that:

  • `Evenly coded’ data means that all or nearly all policy types are coded to the same date
  • `Unevenly coded’ data means that there is a good deal of variation in terms of how up to date different policy types are
  • `Not sure means’ that you are coding for certain policy types only and/or have not checked all policy types in your country

Answers:

  • Evenly coded
  • Unevenly coded
  • Not sure


[actual_date]

The survey distinuishes between [actual_date_even] and [actual_date_uneven]. Each of these two categories has its own question in the survey. Please be aware, though, that in the planning template these are combined into one variable, namely the column [actual_date].

[actual_date_even]

Based on your best estimate, please let us know to what date your country is evenly coded up until:

  • Text Entry [Date in Year-Month-Day format]


[actual_date_uneven]

Based on your best estimate, please let us know to the date to which each policy type in your country has been coded until:

  • Text Entry [Date in Year-Month-Day format]

[actual_date_text]

If there is anything you would like us to know what date the data for your country is up to date until, please let us know here:

  • Text Entry […]

[complete]

Based on your review of your country until ${q://QID265/ChoiceGroup/SelectedChoices}, please let us know how ‘complete’ a given policy type is.

Recall that by ‘completeness’ we mean that based on looking through the data integration sheet and other resources available (e.g. Overton, Jataware, government websites), the CoronaNet data captures all government policies made for this policy type until ${q://QID265/ChoiceGroup/SelectedChoices}.

Note that you can choose ‘The government made no or few policies for this policy type’ if, based on your best assessment (e.g. from looking through the data integration sheet, Overton, Jataware, government websites etc.) there are not many policies for this policy type because the government itself actually didn’t make any.

Answers:

  • 1: Looks complete to me
  • 2: Mostly there
  • 3: About halfway there
  • 4: A lot of work left to do
  • I don’t know
  • Government made no or few policies for this policy type

[complete_text]

If there is anything you would like us to know about how complete the coding has been in your country, please let us know here:

  • Text Entry […]

[clean]

Based on your review of your country until ${q://QID265/ChoiceGroup/SelectedChoices}, please let us know how ’clean a given policy type is.

Recall that by ‘clean’ we mean that based on looking through the automated checker sheet and on your own assessment with the help of project resources (e.g. the Coding Guide), the CoronaNet data for this policy fits the current taxonomy up until this date.

Answers:

  • 1: Looks clean to me
  • 2: Mostly there
  • 3: About halfway there
  • 4: A lot of work left to do
  • I don’t know

[clean_text]

If there is anything you would like us to know how clean the data in your country is, please let us know here:

  • Text Entry […]

[complexity]

Some policies are particularly complex to code. For example sometimes a given policies will only be in place if another condition is met there are constant changes to keep track of (e.g. countries which have travel bans which change weekly)

To get a better sense of the complexity of coding policies for your country or region, we would like to ask, one a scale of 1 to 3, how complex is policy making for a given policy type in your country?

Answers:

  • 1: Straightforward
  • 2: Somewhat complicated
  • 3: Very complicated

[complexity_text]

If there is anything you would like us to know the complexity of coding for your country/subnational region, please let us know here:

  • Text Entry […]