![]() In line with the technology-based focus of this book, the second part focuses on computerized surveys and on the interplay between technology, language, and culture. The first part outlines good practices in questionnaire translation. This chapter examines the technical challenges involved in translating and adapting measurement instruments, i.e., questionnaires, for migration research. Nevertheless, we also found that a small but substantial subgroup of interviewees with little or no reading skills used the audio files often. However, illiterate interviewees are more likely to take advantage of the interviewer’s support to read the questions aloud than to use the audio files. Although native-speaking interviewers can increase cooperation and help to not exclude illiterate individuals, they also can encourage a higher social desirability bias. Subsequently, using the data from the first wave of the German refugee study ReGES, in which both strategies were offered as a combined approach, we consider their effectiveness and practicability in more detail. We discuss the pros and cons of both strategies. Two strategies can be used to avoid systematically excluding this population: offering interviews with native-speaking interviewers or using computer-assisted self-interviewing (CASI) with additional audio files that enable respondents to listen to a questionnaire. ![]() In addition to the need to provide interviews for immigrants in their native language, it must be taken into account that a considerable proportion of this group has poor or no reading skills in their native language. It supports kilometers, miles, and feet far too.This chapter focuses on specific challenges to surveying newly arrived immigrants with a focus on refugees. Optionally, you can specify the device as perfectly. This command accepts two mandatory member parameters and a geospatial critical(index) which details to a sorted set. The GEODIST command is utilised to calculate the length among two customers stored at a presented geospatial critical. But for mistake-significant applications, this must be utilised with care. This can be ignored for programs like social media, close by put finders, and and many others. 5% error can be launched by the length calculation. We all know that the earth is not a fantastic sphere. Redis takes advantage of the Haversine mathematical method to compute the distances for the geospatial indexes which assumes that the earth is a excellent sphere. ![]() This will be a in-depth guide on the GEODIST command, syntax, and its use circumstances. A single of the ideal usages of this information composition is that you can simply question the length between two geo-destinations(members) using the GEODIST command released by Redis. With the wealthy set of functions, it is doable to question areas and their coordinates dependent on distinct standards.Įach member is pushed into a Redis sorted set referenced by a vital which enables you to question those people geospatial things efficiently and in an purchased way at a afterwards time. The geospatial facts construction can keep coordinates of a supplied location. This is one particular of the exclusive features that Redis features above the other knowledge shops. Redis commences supporting geospatial knowledge styles from variation 3.2.
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