Р. П. Мильруд Доктор педагогических наук, профессор кафедры иностранных языков
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- Figure 6.1. Population, sample and individual case
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UNIT 6 COLLECTING AND ANALYZING DATA The aims of this unit: • to give you information on a variety of data collecting techniques; • to enable you to evaluate suitable data collecting techniques for answering research questions and meeting ob- jectives; • to help you understand advantages and disadvantages of different data collection methods; • to inform you on the basic techniques of analysing quantitative and qualitative data. FOCUS ON INFORMATION 1. Skim the text about collecting and analyzing data. Find an appropriate heading for each paragraph. a. using secondary data b. collecting data through observation c. sampling techniques d. analyzing quantitative data e. collecting data using interviews f. analyzing qualitative data g. using questionnaire techniques 1. Whatever your research questions and objectives you will need to collect data to answer them. Sampling tech- niques provide a range of methods that enable you to reduce the amount of data you need to collect by considering only data from a subgroup rather than all possible cases or elements. Figure 6.1. Population, sample and individual case The full set of cases from which a sample is taken is called the population. In sampling, the term 'population' is not used in its normal sense, as the full set of cases need not necessarily be people. For research to establish the normal ‘life’ of a long-life battery produced over the past month by a particular manufacturer, the population from which you would select your sample would be all long-life batteries produced over the past month by that manufacturer. Sampling provides a valid alternative to census when: − it would be impracticable for you to survey the entire population; − your budget and/or time constraints prevent you from surveying the entire population; − you have collected all the data but need the results quickly. жүктеу/скачать 0.69 Mb. Достарыңызбен бөлісу:
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