The first round of survey questions was shared with all subscribers of CCR CSR’ s WeSupport platform in early June of 2016, and 1591 responses were collected – a much higher response rate than initially anticipated. In order to ensure the quality of data, we decided on some criteria to filter out possible non-valid responses. We used the following criteria to filter out the responses that are most likely non-valid:
1) The survey was completed in under 5 minutes 2) If the job position of the respondent was other than a factory worker / employee 3) If the respondent claimed he / she hadn’ t read any contents on CCR CSR’ s WeSupport platform
After filtering the raw data based on these criteria, we kept a sample of 469 entries who all scored high in terms of validity.
In late August 2016, the second round of survey questions was distributed online through the factory public account of a CCR CSR project factory, which incorporated CCR CSR’ s WeSupport eLearning contents into their own WeChat platform. We aimed to collect at least 100 samples by rewarding the first 100 participants with“ red envelopes” valued at 30 RMB each. We collected 125 responses and applied our validity criteria as above, keeping 107 valid responses from the project factory. The total sample size combining first and second survey thus reached 576. b. Interviews
Workers who participated in the online survey were given the option of accepting phone interviews as well. 242( 42 %) of the respondents expressed interest in being interviewed by leaving their mobile phone numbers. We randomly selected 20 participants from among parent workers, young workers and line managers for in-depth phone interviews to complement the results of the quantitative survey.
The interview questions focused on workers’ experience when migrating to a new location, how they stay connected with friends and family, how they usually use WeChat and CCR CSR’ s WeSupport platform, their opinions about the current contents and suggestions for improvements etc. But most importantly, we tried to find out how we can make the eLearning contents more suitable and attractive to workers.
From the conversations with the 20 respondents we selected five typical interviews to develop indepth case stories. These stories can be found in Appendix 1.
7