Analyzing Quantitative Data: From Description to Explanation by Norman Blaikie

By Norman Blaikie

What easy wisdom and abilities do beginner researchers in social technology require? How can scholars be helped to over-come `symbol phobia' or `figure blindness'? This beneficiant and continually insightful ebook is designed for social researchers who want to know what strategies to exploit less than what situations, in sensible examine initiatives. It accomplishes this with no requiring an in-depth figuring out of statistical conception, but in addition avoids either trivializing techniques or resorting to `cookbook' strategies. one of the key beneficial properties of the ebook are:- Accessibility- association of the broad, usually bewildering array of equipment of information research right into a coherent and easy scheme of class: different types of research and degrees of size- Demystification - the 1st bankruptcy unpacks mostly taken-for-granted innovations akin to `analysis', `data' and `quantitative'- place of tools in actual study problemsThe e-book is a effective advent to the idea and perform of quantitative equipment. it is going to quick determine itself as crucial examining for college students doing social examine through the social sciences.`With this e-book Norman Blaikie keeps his popularity because the prime rapporteur and raconteur of social examine method. With many different introductory texts, info research turns into simply an workout unto itself, and scholars (sometimes) learn how to plow through the motions with out quite understanding why. After operating with Blaikie's textual content, amateur researchers will be aware of why quantitative inquiry is necessary' - Ray Pawson, collage of Leeds

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A third major research tradition adopts yet another set of ontological assumptions. Social reality is regarded as a social construction that is produced and reproduced by social actors in the course of their everyday lives. It consists of intersubjectively shared, socially constructed meaning and knowledge. This social reality does not exist as an independent, objective world that stands apart from social actors’ experience of it. Rather, it is the product of the processes by which social actors together negotiate the meanings of actions and situations.

Similarly, the commonly used Likert categories for responses to attitude statements, ‘strongly agree’, ‘agree’, ‘neither agree nor disagree’, disagree’, and ‘strongly disagree’, are not necessarily evenly spaced along this level of agreement continuum, although researchers frequently assume that they are. When this assumption is introduced, an ordinal-level measure becomes an intervallevel measure with discrete categories. Metric Measurement There are more sophisticated ways in which numbers can be used than those just discussed.

The way in which points on the scale are assigned numbers, the size of the intervals between those points, whether or not there are gradations between these points, and where the numbering starts, are all arbitrary. Scales differ in how the zero point is established. Some scales have an absolute or true zero, while for others there is no meaningful zero, that is, the position of zero is arbitrary. Interval-level measurement Interval-level measurement is achieved when the categories or scores on a scale are the same distance apart.

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