Using Microcomputers in Research may be used in conjunction with the earlier Microcomputer Methods for Social Scientists (QASS 40) -- together they provide a lucid and comprehensive introduction to microcomputing in the social sciences. This book is organized around the research process, taking the
Microcomputer Methods for Social Scientists (Quantitative Applications in the Social Sciences)
โ Scribed by Philip A. Schrodt
- Publisher
- Sage Publications, Inc
- Year
- 1987
- Tongue
- English
- Edition
- 2nd
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This revised edition of Schrodt's guide to microcomputer usage for social scientists reflects the changes in systems, software and usage which have taken place over the last three years. Schrodt adds material on: the Apple Macintosh system; the development of mainframe-quality statistical packages for micros; the development of Pascal and C as programming languages; the introduction of affordable desk-top publishing, graphics editing and RAM-resident utilities.
๐ SIMILAR VOLUMES
A review of the basic mathematical concepts that underlie most quantitative analysis in the social sciences is presented in this volume. The author begins with an algebra review featuring sets and combinations and then discusses limits and continuity. Calculus is presented next, with an introduction
A review of the basic mathematical concepts that underlie most quantitative analysis in the social sciences is presented in this volume. The author begins with an algebra review featuring sets and combinations and then discusses limits and continuity. Calculus is presented next, with an introduction
Meta-Analysis shows concisely, yet comprehensively, how to apply statistical methods to achieve a literature review of a common research domain. It demonstrates the use of combined tests and measures of effect size to synthesize quantitatively the results of independent studies for both group differ
Quantile Regression, the first book of Hao and Naiman's two-book series, establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literature exists for each subject, the authors seek to explore the natural connections between th