Get Quantitative Data Analysis in Education: A Critical PDF

By Paul Connolly

ISBN-10: 0203946987

ISBN-13: 9780203946985

ISBN-10: 0415372976

ISBN-13: 9780415372978

This ebook offers a clean and basic consultant to quantitative facts research in schooling for college kids and researchers. It assumes totally no past wisdom of quantitative tools or information. starting with the very fundamentals, it presents the reader with the information and abilities essential to manage to adopt regimen quantitative info research to a degree anticipated of released learn.

Rather than targeting instructing records via mathematical formulae, the ebook areas an emphasis on utilizing SPSS to realize a true consider for the information and an intuitive take hold of of the most suggestions and strategies concerned. Drawing largely upon updated and appropriate examples, the reader might be inspired to imagine seriously approximately quantitative learn and its strength in addition to its obstacles relating to education.

Packed with valuable good points, this e-book:

  • provides illustrated step by step publications displaying the right way to use SPSS, with lots of routines to inspire the reader to perform and consolidate their new skills
  • makes huge use of real-life academic datasets derived from nationwide surveys within the US and united kingdom to demonstrate key issues and to deliver the cloth to life
  • has a significant other site that comprises the entire academic datasets utilized in the booklet to obtain in addition to entire solutions to workouts and a number different helpful assets which are usually updated.

The publication will hence allure not just to undergraduate and postgraduate scholars but additionally to extra validated and professional academic researchers and teachers and professors who've tended to prevent or draw back from quantitative methods.

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Extra info for Quantitative Data Analysis in Education: A Critical Introduction Using SPSS

Example text

E. both are aged 34) then they are comparable (in terms of age). In other words, it would not particularly matter if one of these people had just turned 34 and the other was nearing her 35th birthday. ” However, a variable consisting of age in years may not always be regarded as a scale variable. Take, for example, a study of young children in a preschool setting where you could be interested in examining their social, cognitive and emotional development. To simply work with age in years in this case would be far too crude.

In fact, if you are a student there is no reason why you could not use data such as these as the basis for your dissertation. 2 To start with, have a quick look at the website to see where these figures were taken from. See what other social, economic and educational indicators are available. 1 were chosen randomly from all those for whom information on illiteracy rates were available. 1, alongside male and female illiteracy rates, two further indicators have been included—school life expectancy (which is the total number of years of schooling that a child in that country can expect to receive on average) and per capita Gross Domestic Product (which is a measure of the value of the total output of economic goods and services produced in that country per head of population).

In this case, the numbers we assign to the categories for the purpose of analysis do now actually have some meaning. More specifically they reflect the rank order of the categories involved. Thus the way this variable has actually been coded (“a lot” = 1; “a little” = 2; and “not at all” = 3) represents a meaningful order for these categories. 1 provides some more examples of how ordinal variables can be coded. The coding for Variable 1 is very common and is often used to ascertain how much a person agrees or disagrees with a statement.

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Quantitative Data Analysis in Education: A Critical Introduction Using SPSS by Paul Connolly


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