Experimental Mobile Phone Panel

在欧洲和美国，持续增长的手机用户比例需要改变电话调查方法。与此同时，只使用手机的人口已经增长到一定程度，忽视它将对固定电话调查结果的代表性产生致命的后果。因此，这个问题的解决办法已经被开发和研究。这样的解决方案可以是(1)提取纯移动电话样本，因为它已经在几个东欧国家的Flash Eurobarometer研究中完成了)或(2)在双框架方法的帮助下，用移动电话样本补充固定电话样本。这两种解决方案都需要在手机调查领域进行进一步的研究，因为它是由实验手机面板完成的。实验手机面板项目的第二阶段旨在回答以下问题：(1)在德国谁只使用手机？只使用移动设备的人群的社会人口统计、态度和行为特征是什么？由于只使用移动设备的人口，覆盖率的未来发展是什么？是一个永久的条件或只是暂时的现象在传记的过渡？(2)手机实际上是个人设备吗？分享手机的人的比例是多少？他们与多少人共享？考虑到这种现象，选择概率应该如何适当地确定？使用双框架设计整合固定电话和移动电话子样本的合适方法是什么？(3)后分层或倾向得分加权程序对手机调查中的单位无反应是否代表可靠和可行的解决方案？在手机调查中减少无回应的成功策略是什么？

Continuously growing mobile-only rates in Europe and the USA require a change telephone survey methodology. Meanwhile the mobile-only population has grown to an extent, that ignoring it would have fatal consequences forepresentativenes of landline telephone survey results. Therefore solutions to this problem have be developed and examined. Such solutions could be (1) drawing pure mobile phone samples as it is already done by Flash Eurobarometer studies in several East-European countries) or (2) complementing fixed-line telephone samples by mobile phone samples, integrated with the help of dual frame aproach. Both solutions require furtheresearch in the area of mobile phone surveys as it is done by Experimental Mobile Phone Panel. The second period of the Experimental Mobile Phone Panel project aims at answering the folowing questions:(1) Who is mobile-only in Germany? What are the socio-demographic, atitudinal and behavioural properties of the mobile-only population? What are future developments in coverageror due to the mobile-only population? Is a permanent condition or just temporary phenomenon during biographic transitions?(2) Are mobile phones in fact personal devices? What is the proportion of people sharing their mobilephone and with how many people are they sharing? Given this phenomenon, how shouldselection probabilities determined appropriately? What is the appropriate approach to integratelandline and mobile phone sub-samples using a dual frame design?(3) Do post-stratifications or propensity score weighting procedures represent reliable and practicable solutions to unit non-response in mobile phone surveys? What are sucesful strategies to reduce non-response in mobile phone surveys?