By Alrik Thiem

ISBN-10: 1461445833

ISBN-13: 9781461445838

ISBN-10: 1461445841

ISBN-13: 9781461445845

Social technology concept frequently builds on units and their kin. Correlation-based equipment of clinical enquiry, although, use linear algebra and are unsuited to interpreting set family members. the improvement of Qualitative Comparative research (QCA) via Charles Ragin has given social scientists a proper device for opting for set-theoretic connections in line with Boolean algebra. consequently, curiosity during this strategy has markedly risen between social scientists lately. This ebook deals the 1st whole creation on tips on how to practice QCA within the R software program atmosphere for statistical computing and images with the QCA package deal. built as a finished resolution, QCA presents an exceptional scope of performance for studying crisp, multi-value and fuzzy units. The reader isn't required to have wisdom of R, however the publication assumes an figuring out of the basics of QCA. utilizing examples from released paintings, the authors exhibit tips on how to utilize QCA’s wide-ranging services for the reader’s personal reasons. even supposing mostly written for political scientists, this publication is additionally of curiosity to students from different disciplines within the social sciences resembling sociology, enterprise, administration, association, anthropology, schooling and health.

**Read Online or Download Qualitative Comparative Analysis with R: A User’s Guide PDF**

**Best statistics books**

`The authors make very good use of illustrative examples' - Reference stories

The SAGE Dictionary of data offers scholars and researchers with an available and definitive source to take advantage of whilst learning information within the social sciences, interpreting study reviews and project information research. Written by way of major lecturers within the box of method and records, the Dictionary could be an important research consultant for the first-time researcher in addition to a main source for extra complicated research.

This is a pragmatic and concise dictionary that serves the typical makes use of of statistics around the entire diversity of social technology disciplines. It bargains uncomplicated and easy definitions of key options, by means of extra distinctive step by step motives of situating particular equipment and methods. It additionally comprises lists of comparable strategies to assist the person to attract connections throughout quite a few fields and elevate their total comprehend of a particular approach. an inventory of key readings is helping to enhance the purpose of the Dictionary as a useful studying source.

Designed particularly for college students and people new to investigate, and written in a full of life and interesting demeanour, this Dictionary is a necessary reference paintings for college kids and researchers around the social sciences.

**Get ROC Curves for Continuous Data PDF**

Since ROC curves became ubiquitous in lots of program components, a number of the advances were scattered throughout disparate articles and texts. ROC Curves for non-stop facts is the 1st booklet completely dedicated to the topic, bringing jointly all of the suitable fabric to supply a transparent knowing of ways to research ROC curves.

**New PDF release: Statistics for Health Care Professionals: An Introduction**

A significant other site is obtainable for this article! click on right here. records for wellbeing and fitness Care pros is an available consultant to knowing information inside of healthiness care perform. concentrating on quantitative methods to investigating difficulties, the publication introduces the fundamental principles and ideas of data.

This can be a quantity number of seminal papers within the statistical sciences written up to now a hundred years. those papers have each one had a superb impact at the improvement of statistical thought and perform over the past century. each one paper is preceded via an advent written by way of an expert within the box delivering history info and assessing its impact.

- Humanizing Big Data: Marketing at the Meeting of Data, Social Science and Consumer Insight
- Applied Multivariate Statistical Analysis, Fifth Edition
- Statistics in Genetics and in the Environmental Sciences
- Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange
- 5 Steps to a 5 AP Statistics (2010-2011 Edition) (5 Steps to a 5 on the Advanced Placement Examinations Series)
- IS 12940 (1990):Indian Standard: Documentation - Library statistics - Guide

**Extra info for Qualitative Comparative Analysis with R: A User’s Guide**

**Sample text**

Sums < 2) > (omRows <- names(omRows)) [1] "1" "2" "5" "17" The vector omRows could then be passed directly to the omit argument in eqmcc(). 3 Contradictory Simplifying Assumptions Contradictory simplifying assumptions (CSA) are logical remainders which enter into the derivation of the solution with respect to the outcome set as well as its negation. Reconsider the second minimal sum of the parsimonious solution, S2 : WS + ES · WM + QU · LP + WM · LP. First, the minimization has to be carried out for the negation of the outcome.

00 .... 00 .... 00 .... table() function makes AS a data frame by default. The original file in which the data is stored is given as the first argument. txt is identified as containing the variable labels for AS. names argument. If in your own data the decimal separator is a comma instead of a point, dec = "," should be added as an argument. If you neither want to save the data in your working directory nor change the directory, the data can also be put into any folder and the entire file path to R be provided instead.

7, these logical values are subsets of real numbers in R. frame(createMatrix(rep(2, 3), logical = TRUE)) > names(tt) <- c("A", "B", "C") After having generated all 23 = 8 configurations, the condition labels for sets A, B, and C are assigned to each column of tt using the names() function. The outcome value (truth value) of the expression a · B · C can then be computed as follows: > tt$OUT <- pmin(1 - tt$A, tt$B, tt$C) > tt 1 2 3 4 5 6 7 8 10 A FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE B FALSE FALSE TRUE TRUE FALSE FALSE TRUE TRUE C OUT FALSE 0 TRUE 0 FALSE 0 TRUE 1 FALSE 0 TRUE 0 FALSE 0 TRUE 0 The createMatrix() function is primarily used internally for constructing truth tables.

### Qualitative Comparative Analysis with R: A User’s Guide by Alrik Thiem

by Donald

4.0