By Norman Blaikie
What simple wisdom and talents do beginner researchers in social technology require? How can scholars be helped to over-come `symbol phobia' or `figure blindness'? This beneficiant and regularly insightful e-book is designed for social researchers who want to know what strategies to take advantage of less than what conditions, in sensible examine initiatives. It accomplishes this with no requiring an in-depth knowing of statistical idea, but additionally avoids either trivializing techniques or resorting to `cookbook' recommendations. one of the key good points of the e-book are:- Accessibility- association of the vast, usually bewildering array of tools of information research right into a coherent and common scheme of type: sorts of research and degrees of dimension- Demystification - the 1st bankruptcy unpacks typically taken-for-granted ideas comparable to `analysis', `data' and `quantitative'- position of tools in actual learn problemsThe booklet is a positive advent to the idea and perform of quantitative equipment. it's going to quick identify itself as crucial studying for college students doing social learn during the social sciences.`With this publication Norman Blaikie keeps his attractiveness because the prime rapporteur and raconteur of social examine technique. With many different introductory texts, info research turns into simply an workout unto itself, and scholars (sometimes) discover ways to plow through the motions with out relatively realizing why. After operating with Blaikie's textual content, amateur researchers will understand why quantitative inquiry is necessary' - Ray Pawson, collage of Leeds
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Extra info for Analyzing Quantitative Data: From Description to Explanation
Its construction is based on notions of hot and cold, more and less, and of an equal interval scale. In short, it has built into it many assumptions and technical ideas that are used to extend differences that can be experienced by touch. Similarly, an attitude scale, consisting of an integrated set of statements to which responses are made, provides a more precise and consistent measure than, say, listening to individuals discussing some issue. The notion of empirical evidence is not as simple as it might seem.
Qxd 1/10/03 10:37 AM Page 20 Analyzing quantitative data Another (albeit much less common) set of assumptions would be to regard the worldviews and behaviour of the people who buy and sell shares as constituting the basic social phenomenon. The decisions and actions of these people generate the fluctuating prices of shares. The stockbrokers through whom these people conduct their share transactions are equivalent to researchers who then feed the outcomes of the decisions of these people into a particular market’s database from which the price of any shares, at any time, can be determined and trends plotted.
G. student academic performance on a particular course). g. g. g. g. plotting a line graph of the frequency with which particular marks were obtained, or calculating a statistic that measures the dispersion around the mean). There are clearly many ways in which the phenomenon of student academic performance can be described and compared. The principles of each of these methods will be elaborated later in this chapter, and they will be illustrated in later chapters. Bivariate Descriptive Analysis Bivariate descriptive analysis is a step along the path from univariate analysis to explanatory analysis.