Data Collection techniques
For research in social science the data can be categorized in to three as Data pertaining to human beings, data relating to organizations and data pertaining to territorial areas. The collected data for any analysis is the raw material.
Researchers collect and analyze two types of data for marketing purpose: primary and secondary (Hoy and Maclnnis). Primary data is the data collected by an entity using data collection techniques for an own purpose, and the secondary data is collected by an entities but subsequently used by another entity for a different reason (Hoy and Maclnnis). This research that aims at discover the current Chinese middle class’s consume feature need to collect primary data to enable further analysis, but in terms of understand and identify the Chinese middle class by study them from previous researches involves viewing a great number of secondary data, and most of these data will be used to contrast with the primary data gains from this research as well.
The primary data is collected by the researchers from the primary resource directly but in secondary data collection the data is collected by the researchers from the third parties resources. The primary data collection is done by interviewing, observation, mail survey, experimentation, simulation and projected technique.
数据采集技术
对社会科学研究的数据可以被归类在三数据有关的人，有关的数据组织与数据有关的国土面积。所收集的数据进行分析的原材料。
研究人员收集和分析数据类型为营销宗旨：小学和中学（今天，麦克依尼斯）。主要数据的收集的数据实体使用数据采集技术为自己的目的，和中学的数据收集是由一个实体，但后来被另一个实体，因为不同的原因（霍伊和麦克依尼斯）。本研究旨在发现当前中国中产阶层的消费特征需要收集原始数据，使进一步分析，但从了解和确定的中国中产阶级的研究从以前的研究涉及观察大量的二手资料，大多数这些数据将被用来对比的主要数据从本研究以及。
主要的数据收集的研究人员的主要资源直接在数据收集的数据收集的研究人员从第三方资源。主要的数据收集是通过采访，观察，邮件调查，实验，模拟和预测技术。
