flagging_df: EMA Careless Response Cutoff Determination Dataframe

In manateelab/EMAeval-R-Package: Identification of Careless Responses and Responders in EMA Data

Description

flagging_df returns dataframe of Time to Complete per assessment, Time per Item per assessment, Standard Deviation of item response per assessment, and Longstring.

Usage

flagging_df(data, ttc.colnames, item.colnames)

Arguments

data	dataframe to be analyzed.
ttc.colnames	vector of column names of "Start Time" and "End Time" to calculate time to complete, also can be "Completion Time" if already calculated.
item.colnames	vector of column names of all items/questions to be used to calculate item score Standard Deviation and Longstring responses.

Details

This function creates the dataframe of Time to Complete, Time Per Item, Item Score Standard Deviation, and Longstring. See function flagging_plots for the histograms that are compiled from this dataframe.

Value

The item "ttc.colnames" must be the names of columns, corresponding to Start Time and End Time, ordered ttc.colnames = c("StartTime", "EndTime") start time first, follwed by end time. If the data includes assessment duration, then list the column name that corresponds with assessment completion: ttc.colnames = "SurveyDuration".

The item "item.colnames" must be the column names of all items to be included in the calculations for Item Score Standard Deviation. The base function colnames can be utilized if user prefers. If columns x through y are to be used for this calculation, the following syntax must be followed: item.colnames = colnames(data[,x:y]) Example of use with column names can bee seen below.

References

Jaso, B.A., Kraus, N.I., Heller, A.S. (2020) Identification of careless responding in ecological momentary assessment: from post-hoc analyses to real-time data monitoring.

See Also

flagging_plots for the histograms that were created from this dataframe.

longstringr provides a dataframe of all the longstring values.

The following functions once cutoff values have been determined: TPI_cutoff, SD_cutoff, Combined_cutoff, and Combined_cutoff_percent

manateelab/EMAeval-R-Package documentation built on Oct. 13, 2021, 6:48 a.m.