When targeting ethnic minorities, respondents from specific country of orogins or likely religions, general RDD sample does not perform well due to a low incidence rate. Another option are specific mobile phone provider for migrants, however the incidence rate is still low. Using our targeted ethnic mobile sample it is possible to survey respondents with high accuracy
Global live screening for migrants, ethnic minorities and likely followers of religions.
Fully mobile based as this is the best mode to reach this targe group.
Global coverage for our ethnic sample
Can be used to collect data via CATI, SMS or WhatsApp
Sample Solutions developed the enriched-RDD sampling approach in-house. We are using multiple steps to create a highly targeted sample that nevertheless contains probabilitic criteria such as the selection probability and frame size for social research. Here are the steps for the sample generation:
This appraoch allows researches to apply either a probabillty-based approach or quota based approach to sample these sub-populations.
The ethnic sample is overlayed with public data that can be found from various sources publicly. If data is not available publicly, we cannot retrieve it. Most social media and messenger networks have the option to set-up privacy options. When these are activated, we do not have a way to retrieve the data. Sample Solutions keeps track on the timestamp when the data has been processed and whichs sources have been used.
Data subjects have the option to retrieve their information, edit and delete them based on their data subject rights.
Ethnic Minorities
RDD Landline Sample can be stratified based on a country’s various non-geographical strata (network operators) or geographical strata (administrative divisions, geographical regions, Census regions, NUTS regions, etc.), with equal probability of selection within each strata. If the stratification is based on a geographical stratum, the sample is constructed based on the population’s distribution within the strata. Each possible telephone number per stratum is generated and stored together with an incremental id.
Country of Origin
We are using an onomastic approach to flag name-enriched RDD mobile sample with likely country of origin. Next to the onomastic approach we also check for any indicator on social media profiles or messenger services that might indicate a different country of origin.
In all cases we start with a true mobile RDD sample that is then screened using various Big Data sources.
Religion
We are using an onomastic approach to flag name-enriched RDD mobile sample with likely religion. This signficantly increases the chance to identify followers of eg. Islam, Judaism or other religions.
We only apply this to the mobile frame.
Sample Solutions is my first call when I need global sample. Carsten and his team are very responsive and always provide meaningful insights and recommendations relevant to dialing in each country. From simple population estimates to complex multi-country RDD sample plans, SSE always delivers on time for all of my key accounts.
The Sample Solutions team understands our needs for probability-based random digit dialling samples and provides us with the necessary transparency our team requires. They have always been prompt and responsive, and have worked with us over the years to make our research in many difficult to survey environments across the world even better. Carsten and his team are always willing to work through the unique challenges of our projects with us, providing a high quality yet cooperatively developed product.
Sample Solutions has a great variety of services to be offered. One of a kind team of professionals that works around the clock to service their Clients. Exceptional, trustworthy and reliable. Glad to be partnering with them for all kinds of projects.
Every week we use thousands of B2C RDD landlines and mobiles and the quality has been excellent. For our National and International B2B surveys we work together solely with Sample Solution. Our experience so far has been very good. We have received quick support and there has always been sufficient sample.
We would source landline sample from white pages data where available and then apply an onomastic approach to the names. In most cases this yields older respondents and those that have been in the country for longer.
We can only target literate people as they use a messenger or social network. Overall education level is higher, more males and overall younger people. Since we screen an RDD sample there are indidivudals that cannot be matched, thus a coverage error is introduced.
No, the data is processed live meaning the generated mobile RDD numbers are compared live with various social media and messenger services.
Variables like region gender and age estimate can be added.
Our data is profiled / estimated. We have high evidence that a specific trait like religion, country of origin or ethnicity exists but we do not have hard facts or collected data.
Depending on the volumes and specifications, the default turnaround time for this sample is 2 to 3 working days.
