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Quantitative Data Analysis for Social Scientists
 
 
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Quantitative Data Analysis for Social Scientists [Paperback]

Alan Bryman (Author)


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Book Description

November 1, 1994
This highly successful text has now been revised in the light of the new version of SPSS. Students will be able to continue using this non-technical introduction to statistical techniques in the knowledge that it is fully up to date.

Product Details

  • Paperback: 312 pages
  • Publisher: Routledge; Rev Sub edition (November 1, 1994)
  • Language: English
  • ISBN-10: 0415113075
  • ISBN-13: 978-0415113076
  • Product Dimensions: 9.2 x 6.1 x 1 inches
  • Shipping Weight: 1.2 pounds
  • Amazon Best Sellers Rank: #1,150,849 in Books (See Top 100 in Books)

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Inside This Book (learn more)
First Sentence:
This book largely covers the field that is generally referred to as 'statistics', but as our Preface has sought to establish, we have departed in a number of respects from the way in which this subject is conventionally taught to under- and postgraduates. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
values ethnicgp, data list command, labels ethnicgp, missing values command, prody quai, autonom routine, ethnicgp gender, statistics subcommand, gender income age years, commit satisl, more unrelated samples, skill prody qual, test comparing quality, manova command, more related samples, variable satis, descriptives command, correlations command, partial rank correlation coefficient, crosstabs command, procedural command, job satisfaction item, descriptives age, oneway analysis, cases with missing values
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Mean Std, Source of Variation, Computer Centre, Satisfied Job, Advanced Statistics, Mean Rank Cases, Beta Std, Beta Tolerance, Great Improvement Little, Partial Tolerance, Taking the Job-Survey, Test Name Value Approx, Value Freedom Prob, Variable Beta, Variable Hypoth
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