Get Statistical Methods For Communication Science PDF

By Andrew F. Hayes

ISBN-10: 0805854878

ISBN-13: 9780805854879

Statistical tools for communique Science specializes in information as used and utilized in verbal exchange study. Writing in a simple, own type, writer Andrew F. Hayes bargains this available and thorough advent to statistical tools, beginning with the basics of size and relocating directly to speak about such key issues as sampling tactics, likelihood, reliability, speculation trying out, basic correlation and regression, and analyses of variance and covariance. Hayes takes readers via each one subject with transparent motives and illustrations. He offers a large number of examples, ready within the context of conversation study, hence attractive readers at once and assisting them to work out the relevance and significance of facts to the sector of communication.

Highlights of this article include:
*thorough and balanced insurance of topics;
*integration of classical equipment with smooth "resampling" methods to inference;
*consideration of useful, "real international" issues;
*numerous examples and functions, all drawn from conversation research;
*up-to-date info, with examples justifying use of varied strategies; and
*a CD with macros, information units, figures, and extra materials.

This particular e-book can be utilized as a stand-alone school room textual content, a complement to standard learn tools texts, or an invaluable reference guide. will probably be valuable to scholars, school, researchers, and practitioners in conversation, and it'll serve to strengthen the certainty and use of statistical tools through the self-discipline.

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Extra info for Statistical Methods For Communication Science

Sample text

The statistical methods literature is replete with research on the legitimacy of treating ordinal-level data as if it were interval. , Baker, Hardyck, & Petrinovich, 1966). Some have called ordinal measures treated like interval as “quasi-interval,” a term that I think deserves recognition, reflecting the fact that many of the measurement procedures communication researchers use produce data that, though ordinal, can be treated like interval without doing too much damage. In Steven’s (1958) measurement scheme, the lowest level of measurement is known as the nominal level.

Alternative models of inference are not widely known or discussed in the communication literature, and I feel obligated to bring them to your attention when appropriate. Having said this, the population model of inference is so pervasive that it is important that you understand it thoroughly. So I will emphasize this model in much of my discussion of statistical inference in the chapters that follow. 6 Summary Communication is a scientific discipline. Communication researchers use the scientific method to test theory, to help solve real world problems, to acquire information, and to satiate their own curiosities about the world.

RQ2 : Does distraction during presentation affect the persuasiveness of a healthrelated message? In contrast to a research question, which is usually a vague statement, a hypothesis (sometimes denoted in the literature with the letter H ) is a prediction about what the researcher expects to find in a study. Two hypotheses corresponding to the research questions posed above might be H1 : The more time a person spends thinking about a message, the longer any attitude change resulting from that message will persist.

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Statistical Methods For Communication Science by Andrew F. Hayes


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