Writing up Quantitative Research in the Social and by Marianne Fallon

By Marianne Fallon

The Teaching Writing sequence publishes hassle-free writing publications penned via authors with publishing documents of their material. Infused with multidisciplinary examples, humor, and a hefty dose of irreverence, Fallon is helping rising researchers effectively navigate the highbrow and emotional demanding situations of writing quantitative study experiences. After reinforcing foundations in method, facts, and writing within the first portion of the e-book, rising researchers paintings via a sequence of inquiries to build their study document. the ultimate part includes pattern papers generated by means of undergraduates illustrating 3 significant kinds of quantitative study – basic info assortment, secondary facts research, and content material research. Writing up Quantitative study within the Social and Behavioral Sciences is suitable for examine equipment sessions in communique, criminology or felony justice, economics, schooling, political technology, mental technological know-how, social paintings, and sociology. person scholars and amateur researchers may also learn the e-book as a complement to any direction or study event that calls for writing up quantitative data.

“Fallon brings much-needed accessibility to the daunting global of quantitative tools. jam-packed with modern references to popular culture … key innovations are creatively introduced.” – Diana Cohen, affiliate Professor of Political technology, vital Connecticut country University

“This publication covers the ‘how to’ of writing examine initiatives in a hugely enticing demeanour. Graduate scholars who're getting ready to paintings on their master’s thesis gets much out of this book.” – Damon Mitchell, Professor of Criminology and felony Justice, significant Connecticut nation University

Writing up Quantitative learn within the Social and Behavioral Sciences isn't your regular booklet. it's a should have instruction manual for college kids within the social and behavioral sciences …” – Carolyn Fallahi, Professor of mental technology, important Connecticut country University

“Kudos to Fallon for writing a truly thorough and readable foundational textual content for starting researchers!” – Linda Behrendt, affiliate Professor of Human improvement and kin reports, Indiana country University

Marianne Fallon, Ph.D., is an affiliate Professor of mental technology at imperative Connecticut nation college and has taught undergraduate learn tools for over 10 years. A recipient of the Connecticut kingdom collage Trustees educating Award, she has mentored many rising researchers, numerous of whom have gained neighborhood and neighborhood examine awards and feature released their study.

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I am now applying the same lessons to my writing. ) 35 CHAPTER 3 Myth: Good Writers Sound Smart People with fixed mindsets emphasize performance; writing is a way to perform and express intelligence. In the hands of fixed-mindset drivers, writing becomes a vehicle to prove intellectual elitism. Many authors of scholarly sources certainly sound intelligent, but at what cost? Prose becomes overblown with 5-dollar words, complicated constructions, and information about anything that is remotely related to the problem at hand.

Null” means “zero”. Thus, a null hypothesis predicts no relationship between the variables in your study. Let’s say you are examining the relationship between dissatisfaction with the current federal government and participation in civic activism. Your alternative hypothesis is that there is a relationship between dissatisfaction with government and civic activism. Your null hypothesis is that there is no relationship between those variables. Why do we focus on testing the null hypothesis when the alternative hypothesis is really what we are interested in?

A correlation coefficient is probably the most straightforward example for measuring the proportion of variation one variable explains in another. Correlation coefficients describe the direction and strength of a relationship between two variables. If you square the value of the correlation coefficient, you obtain the proportion of variance one variable accounts for in another. 10. This value represents a weak, positive relationship. 01, which corresponds to 1% of variance accounted for. 50 (Cohen, 1992).

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