Statistical methods for the social sciences / Alan Agresti, Barbara Finlay Agresti, an introduction to statistical methods for students majoring in social science. Such sequences are commonly required of social science graduate students in sociology, political Alan Agresti, Barbara Finlay The book presents an introduction to statistical methods for students majoring in social science disciplines. APA Citation. Agresti, A., & Finlay, B. (). Statistical methods for the social sciences (Fourth edition, Pearson new international edition.). London: Pearson.

Author: | Fenrizahn Badal |

Country: | Argentina |

Language: | English (Spanish) |

Genre: | Literature |

Published (Last): | 8 April 2018 |

Pages: | 262 |

PDF File Size: | 2.37 Mb |

ePub File Size: | 10.12 Mb |

ISBN: | 322-3-49519-275-6 |

Downloads: | 52097 |

Price: | Free* [*Free Regsitration Required] |

Uploader: | Kajizil |

We don’t recognize your username or password. Pearson offers special pricing when you package your text with other student resources.

The main concepts to be understood by students are sampling distribution, confidence interval, p-value, linear regression.

He is author of over refereed article and four texts including “Statistics: Reliance on an overly simplistic recipe-based approach to statistics is not the route to good statistical practice.

The main changes are as follows:.

### Agresti & Finlay, Statistical Methods for the Social Sciences | Pearson

Moreover, a wide variety of regression models such as linear regression, ANOVA, logistic regression are taught in the same format, essentially as special cases of a generalized linear model. Instructor resource file download The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning.

Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.

Changes in the Fourth Edition: The book presents an introduction to statistical methods for students majoring in social science disciplines.

Although not quite as informative, this will again make results consistent with software output, and help students connect the idea of the se for the various inferential methods they see.

Reviews “This text is readable, understandable, and well-organized. Account Options Sign in. Chapter 16 includes new sections on longitudinal data analysis and multilevel hierarchical models.

This includes some new exercises that ask students to use applets located at http: Description The book presents an introduction to statistical methods for students majoring in social science disciplines. The book contains sufficient material for a two-semester sequence of courses.

### Statistical methods for the social sciences / Alan Agresti, Barbara Finlay – Details – Trove

The mathematics is still downplayed, in particular probability, which is all too often a stumbling block for students. About the Author s. There is a stronger focus on real examples and on the integration of statisical software.

He has held visiting positions at Harvard University, Boston University, London School of Economics, and Imperial College and has taught courses or short courses for universities and companies in about 20 countries worldwide. Since the first edition, the increase in computer power coupled with the continued improvement and accessibility of statistical software has had a major impact on the way social scientists analyze data.

My library Help Advanced Book Search. This edition also has an appendix explaining how to apply SPSS and SAS to conduct the methods of each agrwsti and a website giving links to information about other software. You have successfully signed out and will be required to sign back in should you need to download more resources.

He is author of over refereed article and four texts including “Statistics: The author, in this new edition, uses the symbol se for estimated standard errors, rather than the notation of sigma-hat with subscript having the estimator symbol.

Statistical Methods for the Social Sciences, 3rd Edition. By “modern”, I mean that it is model rather than test oriented, that it gives heavy emphasis to confidence intervals and p-values rather than using arbitrary levels of significance, and that it eschews computational formulae.

Integration of descriptive and inferential agrexti from an early point in the text. ahd

## Statistical Methods for the Social Sciences, 4th Edition

Signed out You have successfully signed out and will be required to sign back in should you need to download more resources. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. It has met those expectations Teh text contains numerous sample printouts, mainly in the style of SPSS and occasionaly SAS, both in chapter text and homework problems.

On the other hand, the text is not a cookbook.

He has been teaching statistics there for 30 years, including the development of three courses in statistical methods for social science students and three courses in categorical data analysis. Probability, sample data, and sampling distributions. Sign Up Already have an access code? No eBook available Amazon. Perfectly reasonable base text; I think one can get through it significantly faster than two semesters, but provides just the base needed for more advanced work.