bcstats: Comparing "back checks" in R (a clone of Stata's bcstats)

In vikjam/bcstatsR: Comparing "back checks" in R (a clone of Stata's bcstats)

Description

Comparing "back checks" in R (a clone of Stata's bcstats)

Usage

bcstats(surveydata, bcdata, id, enumerator = NA, enumteam = NA,
  backchecker = NA, bcteam = NA, t1vars = NA, t2vars = NA,
  t3vars = NA, ttest = NA, level = 0.95, signrank = NA, lower = FALSE,
  upper = FALSE, nosymbol = FALSE, trim = FALSE, okrange = NA,
  nodiff = NA, exclude = NA)

Arguments

surveydata	The survey data
bcdata	The back check data
id	The unique ID
enumerator	Display enumerators with high error rates and variables with high error rates for those enumerators
enumteam	Display the overall error rates of all enumerator teams
t1vars	The list of "type 1" variables. See details.
t2vars	The list of "type 2" variables. See details.
t3vars	The list of "type 3" variables. See details.
ttest	Run paired two-sample mean-comparison tests for varlist in the back check and survey data using ttest
level	Set confidence level for ttest; default is 0.95
signrank	Run Wilcoxon matched-pairs signed-ranks tests in the back check and survey data using signrank
lower	Convert all string variables to lower case before comparing
upper	Convert all string variables to upper case before comparing
nosymbol	Replace symbols with spaces in string variables before comparing
trim	Remove leading or trailing blanks and multiple, consecutive internal blanks in string variables before comparing
okrange	Do not count a value in list in the back check data as a difference if it falls within range of the survey data
nodiff	Do not compare back check responses that equal # (for numeric variables) or string (for string variables)
exclude	Specifies that back check responses that equal values in list will not be compared. These responses will not affect error rates and will not appear in the comparisons data set. Used when the back check data set contains data for multiple back check survey versions.

Details

Variable types:

• Type 1 variables are expected to stay constant between the survey and back check, and differences may result in action against the enumerator.

• Type 2 variables may be difficult for enumerators to administer. For instance, they may involve complicated skip patterns or many examples. Differences may indicate the need for further training, but will not result in action against the enumerator.

• Type 3 variables are variables whose stability between the survey and back check is of interest. Differences will not result in action against the enumerator.

Value

A named list constaining the back check as a data.frame, error rates by groups, and tests for differences

vikjam/bcstatsR documentation built on May 3, 2019, 6:12 p.m.