Title: Survey Distributional Methods Analyses Data Open Access Deposited
|Citations to related material|
(2019). Survey Distributional Methods Analyses Data [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/0qnz-fw92
Files (Count: 12; Size: 344 KB)
|Thumbnail||Title||Original Upload||Last Modified||File Size||Access||Actions|
|Deep_Blue_Data_Xu_Readme.txt||2019-07-01||2019-07-15||3.66 KB||Open Access||
|00_data_calculations.xlsx||2019-07-15||2019-07-15||10.8 KB||Open Access||
|00_data_end_values.csv||2019-07-15||2019-07-15||1.28 KB||Open Access||
|01_individual_income_raw.xlsx||2019-07-15||2019-07-15||20.6 KB||Open Access||
|02_average_income_calculations.xlsx||2019-07-15||2019-07-15||78 KB||Open Access||
|02_average_income_end_values.csv||2019-07-15||2019-07-15||860 Bytes||Open Access||
|03_inperson_cost_calculations_ca....xlsx||2019-07-15||2019-07-15||73.6 KB||Open Access||
|03_inperson_cost_calculations_en...s.csv||2019-07-15||2019-07-15||1.57 KB||Open Access||
|04_additional_cost_table.xlsx||2019-07-15||2019-07-15||9.19 KB||Open Access||
|05_overall_results_calculations.xlsx||2019-07-15||2019-07-15||68.1 KB||Open Access||
|05_overall_results_end_values.csv||2019-07-15||2019-07-15||573 Bytes||Open Access||
|06_responserates_cost_table.xlsx||2019-07-15||2019-07-15||75.5 KB||Open Access||
Date: 16 July, 2019
Dataset Title: Survey Distributional Methods Analyses Data
Dataset Creators: X. Xu, J. Yan, T.R. Dillahunt
Dataset Contact: Xuecong Xu firstname.lastname@example.org
Funding: Poverty Solutions
- We compared the response rates, cost, and the average income of participants pertaining to 6 different survey distribution methods used in an initial study about mobility-on-demand services (Yan et al., 2019).
- We used the data to identify survey and recruitment methods that are more effective in reaching hard-to-reach populations.
This work examines the survey recruitment methods used in a past study to contribute to the continued efforts of involving disadvantaged populations to combat AI discrimination. Initial analyses have identified in-person onsite recruitment as one of the better methods of reaching hard-to-reach populations, and is calling for continued work in improving research methods in the field of HCI.
The data used for this study comes from the survey responses of a study on Mobility-on-Demand by Yan et al. in 2019. From the survey responses, we gathered the income information of the participants and the method through which they were recruited. From the researchers of Yan's study, we gathered the distributional cost associated with each survey distributional method, and other data such as number of people contacted, number of people responded, and number of complete/valid responses. With these data, we calculated a series of rates, including response rates, cost effectiveness, and average income through simple Excel functions, such as sums, additions, divisions, and means. The calculations are then compared for interpretation of the data.
Because we only used the income data from the original survey, the complete survey responses are not included in this repository. To get more information on the original survey, please see Yan's study: https://poverty.umich.edu/files/2019/02/Yan_et_al_WorkingPaper_Preference_for_mobility_on_demand.pdf.
Instrument and/or Software specifications: NA
Files contained here (where there are two instances of a numbered file, the filename ending in "calculations" is an Excel sheet including calculations used in the research, while the filename ending with "end_values" indicates a .csv with final calculated values only):
00_data: this spreadsheet contains miscellaneous data associated with each distributional method, including the number of people reached/contacted, the number of complete/valid response, and the distributional cost.
01_individual_income_raw: this file contains all the self-reported household income of the survey respondents organized by distributional methods. This data is used to calculate the average income in each group presented in file 02_average_income.
02_average_income: this file contains a table that list the number of participants in each income group organized by distributional methods. The "average" function in Excel is used to calculate the average in each group.
03_inperson_cost_calculations: this file shows the process of calculating the cost associated with in-person onsite distribution method. Specifically, the 2nd and 3rd tables towards the end have the work records of two research assistants. The 1st table shows the calculations of the cost paid to the RAs given their individual hourly wages.
04_additional_cost_table: this table summarizes the additional cost (total cost minus compensation to the survey respondents) of this distributional method with explanation.
05_overall_results: this table contains data on the number of people contacted, complete response, valid response, and cost. Excel calculations including additions and divisions are performed.
06_responserates_cost_table: this table summarizes % of valid responses received and cost per response associated with each distributional method.
Yan, X., Zhao, X., Han, Y., and Hentenryck, P. V. (2019). Mobility-on-demand versus fixed-route transit systems: an evaluation of traveler preferences in low-income communities. https://poverty.umich.edu/files/2019/02/Yan_et_al_WorkingPaper_Preference_for_mobility_on_demand.pdf
Use and Access:
This data set is made available under a Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
To Cite Data:
Xuecong Xu, Tawanna Dillahunt, and Xiang Yan. (2018). Reaching Hard-To-Reach Populations: an Analysis of Survey Recruitment Methods [Data set]. University of Michigan - Deep Blue. https://doi:10.7302/0qnz-fw92