Add an issue for interviews that have too many questions left unanswered

The threshold for unanswered interviews can be specified in one of two ways. The first way is to set a global threshold through the n_unanswered_ok parameter.

Usage

add_issue_if_unanswered(
  df_cases_to_review,
  df_interview_stats,
  df_issues,
  n_unanswered_ok = 0,
  df_legit_miss = NULL,
  issue_type = 1,
  issue_desc = "Questions left unanswered",
 
    issue_comment = glue::glue("ERROR: The interview is marked as complete, but there are {NotAnswered} questions left without a response. Please answer these questions.")
)

Arguments

df_cases_to_review

Data frame. Cases to review.

df_interview_stats

Data frame. Interview statistics fetched from the server.

df_issues

Data frame. Contains issues for the interviews.

n_unanswered_ok

Numeric. Maximum number of unanswered questions allowed before recording an issue.

df_legit_miss

Data frame. Interview-specific threshold for unanswered questions.

issue_type

Numeric. Issue type for the issue file: c(1, 2, 3, 4)

issue_desc

Character. Short description of the issue.

issue_comment

Expression. Expression--for example glue or paste0--that yields an issue message meant for interviewers to understand the problem.

Value

Data frame. Issues data frame with new record for interviews with too many questions left unanswered.

Details

The second way is through a data frame that specifies an interview-specific threshold. This may be useful when there are questions legitimately left unanswered, most often due to the design of the questionnaire.