This vignette shows the Preregistration Template for Qualitative and Quantitative Ethnographic Studies form (previous versions of this form: v0.93). It can be initialized as follows:
initialized_preregQE_v0_94 <- preregr::prereg_initialize( "preregQE_v0_94" );
After this, content can be specified with preregr::prereg_specify() or preregr::prereg_justify. To check the next field(s) for which content still has to be specified, use preregr::prereg_next_item().
The form is defined as follows (use preregr::form_show() to show the form in the console, instead):
preregr::form_knit( "preregQE_v0_94" );
A preregistration is a way to design your research project before you begin and to document your decisions, rationale. A template such as this one can be employed to think about what you want to do and how, and subsequently, if you wish, you can submit the finished preregistration to a registry, such as OSF’s (https://osf.io/registries). This template was developed to aid the preregistration of quantitative ethnographic studies, but due to its modular nature, it can be employed for qualitative studies as well.
Download this template from its OSF repository or from this link: https://docs.google.com/document/d/1LsTptfqGQ7rEUGxEB4dM572xcjkXWqxg6O-YY-mzh08/edit?usp=sharing
Fill it out. If any items don’t make sense for your project or you have not made a decision about them at this point, feel free to indicate that in your response.
Submit it. This webpage has detailed instructions on submitting a preregistration to OSF: https://help.osf.io/hc/en-us/articles/360019738834-Create-a-Preregistration
Please note: When you select a registration form, be sure to choose “Open-ended registration” if you are using this particular template.
Please specify the role of theory in your study. You may be using theory to design your methods (including the sampling strategy and coding instructions) or aim to explore the constructs defined in the theory more in-depth. You may aim to closely follow or test a certain theory. Or you may not be basing your design, coding, and other decisions on theory (e.g.: in applied research or in a new area of research with no applicable existing theory).Note that this is a good moment to reflect upon your existing expectations and personal preconceptions, and think about whether these derive from theory. If so, indicate that here or in the “Positionality” item (in the Positionality and Credibility section).
Please describe your sampling strategy. Please provide a short rationale for why you selected this type of strategy. Describe inclusion and exclusion criteria.(e.g.: convenience, purposive, snowball, theoretical, maximum variation, proportional quota, non-proportional quota, random, mixed)
Please indicate the data collection procedure(s) you will use.(e.g.: semi-structured interview, structured interview, focus group, enabling technique, self-report, field notes, diary, participant observation, observation, archival research, log file, survey)
In what form will you be collecting data for your study?(e.g.: audio, video, audio-video, text, numerical)
Your study may be conducted with individuals but data is recorded from a dyad or a group; individuals may not be considered separately. Thus, please indicate who/what you consider data providers in your study.(e.g.: individual, dyad, group (≥3), individual and group, other)
Please describe or upload the tools, instruments, or plans you will use in collecting or generating your data.(e.g.: topic guide, interview structure, questionnaire, focus group guide, observation scheme, standardized prompts, protocol, archival search interfaces and queries)
Please describe the criteria or rationale for stopping data generation or collection. These can differ for various aspects of the project.(e.g.: data saturation (please elaborate), when inclusion criteria are satisfied, resource constraints (e.g. time/funding), when the analysis has produced an enriching answer to the research question(s))
Please specify what constitutes metadata and/or attributes in your study.
Metadata = data about the data collection process or the data itself (interviewer, date of interview, timestamp, etc.)Attributes = characteristics of data providers (e.g., age, sex, education of cases)