From qualitative to quantitative probability

  • 73 Pages
  • 4.70 MB
  • 7556 Downloads
  • English
by
Almqvist & Wiksell International , Stockholm
Probabili
StatementPer-Erik Malmnäs.
SeriesActa Universitatis Stockholmiensis., 7
Classifications
LC ClassificationsQA273 .M3256 1981
The Physical Object
Pagination73 p. ;
ID Numbers
Open LibraryOL3872476M
ISBN 109122004572
LC Control Number81195937

The C Integrative Deliverance Needs Assessment: A Qualitative and Quantitative Probability Indicator Paperback – Octo by Peter J. Bellini (Author) › Visit Amazon's Peter J. Bellini Page. Find all the books, read about the author, and more. See search 5/5(3). This first-of-its-kind book is primarily based on qualitative approaches to probabilistic-like uncertainty, and includes qualitative theories for the standard theory as well as several of its of these generalizations produces a belief function composed of two functions: a probability function that measures the probabilistic Cited by:   David Byrne is Emeritus Professor of Sociology and Applied Social Sciences at the University of Durham.

He has published widely on the methodology of social research, for example, in Interpreting Quantitative Data () and with Charles Ragin edited The SAGE Handbook of Case Based Methods ().His major theoretical engagement is with the deployment of the complexity.

The quantitative method aims to measure variables or data numerically and objectively and use the statistical techniques to analyze the underlying causal relationship between and among these Author: Carl Martin Allwood. probability is the theory AX meas of quantitative probability of [Fagin et al., ].

Their language permits Boolean combi-nations of linear inequalities of the form a b 1w(˚ 1)+ + b nw(˚), where aand the b i’s are integers and the ˚’s do not 3C i has P m i P 2 disjuncts, and m =0 m i 2 m i = 2m.

A new method (HGP) is proposed to estimate the failure probability of potentially unstable rock masses in a homogenous area, as a function of time. It is based on both geomechanical and historical approaches: the first one is aimed to classify the. Integrating Quantitative and Qualitative Methods in Research provides a practical and relatively simple introduction to statistical research, both quantitative and qualitative.

Drawing from his experience conducting statistics seminars, the author presents a streamlined overview of both quantitative and qualitative research methods and provides clear explanations and examples for their 5/5(1). In this book Simon Parsons describes qualitative methods for reasoning under uncertainty, "uncertainty" being a catch-all term for various types of imperfect information.

The advantage of qualitative methods is that they do not require precise numerical information. Instead, they work with abstractions such as interval values and information about how values change. This book is suitable for advanced quantitative and mixed-methods research.

This textbook uses qualitative and quantitative data analysis methods to explore specific areas of social research. These include education, public health, the environment, population and demographic studies. “A Pinch of Probability is worth a pound of Perhaps” – James Thurber.

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This quote is more true today than it was when James originally wrote it in In today’s complex world the proper understanding and application of Probability Probability (Quantitative Concepts) Read More».

Download eBook. This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning.

Qualitative research is designed to explore the human elements of a given topic, while specific qualitative methods examine how individuals see and experienc. The result is a probability distribution, rather than a single value, reflecting the non-unique correspondence between a qualitative description of a scenario and its quantitative realization.

The paper also describes a simple software tool that implements the method. Quantifying the Qualitative presents a systematic approach to comparative case analysis based on insights from information theory.

This new method, which requires minimal quantitative skills, helps students, policymakers, professionals, and scholars learn more from comparative cases.

Quantitative risk analysis: Quantitative risk analysis is where you look at the high qualitative risks and give them a number value so that you can associate them with a cost for the risk. In this example, we are going to grade a risk and its probability from 1—9, with 1 being low and 9 being high.

Basics of social research: Qualitative and quantitative approaches (2nd ed.). Boston, MA: Pearson. underscores the point that one should avoid attempting to make statistical generalizations from data collected using quota sampling methods. If you are interested in the history of polling, I recommend a recent book: Fried, A.

This book outlines how social work students can undertake a research project from either a qualitative, quantitative or mixed methodological approach. The authors introduce key concepts in an accessible and structured manner and go on to demonstrate each of the approaches from inception of research idea, to realisation of methodological.

Russell Bernard is Professor of Anthropology, Emeritus at the University of Florida. He served as editor of the American Anthropologist and Human is co-founder (with Pertti Pelto and Stephen Borgatti) of the Cultural Anthropology Methods journal (), which became Field Methods in The five editions of his methods text Research Methods in Anthropology (AltaMira Reviews: 1.

Sampling techniques can be divided into two categories: probability and non-probability. In probability sampling, each population member has a known, non-zero chance of participating in the study. Randomization or chance is the core of probability sampling technique.

In non-probability sampling, on the other hand, sample group members are selected non-randomly; therefore, in non-probability. Quantitative and qualitative estimation of driving style help promote safe and eco-driving. A numerical mapping or a categorical labeling of driving skill level, helps identify from most aggressive to extremely mild drivers for fleet management.

While there are certainly instances when quantitative researchers rely on nonprobability samples (e.g., when doing exploratory research), quantitative researchers tend to rely on probability sampling techniques.

The goals and techniques associated with probability samples differ from those of nonprobability samples. It's about probabilistic distributions (discrete or continuous) to characterize the risk's probability and impact.

Risk scale is qualitative and can be textual (low, medium, high), color coded, numeric (from 1 to 5) or some combination.

Risk scale and scores are quantitative, typically specified in. How to find the mode of a quantitative data set. The mode tells you the most popular answer to a statistical question.

For example, in the above poll of Sister Elena’s class, the mode groups are children who. Have at least one brother or sister (20 students) Own at least one pet (14 students) Take the bus to school (16 students).

Rate probability and impact on a scale such as 1 to 5 where 5 is the highest probability and impact. Then we multiply probability times the impact to calculate our risk score. For example, we could rate a risk as a probability of 4 and an impact of 3.

The risk score would be 4 x 3 = The scale may be applied to both threats and opportunities. Quantitative and Qualitative Risk Analysis are two methods for analyzing risk. Quantitative Risk Analysis uses hard metrics, such as dollars. Qualitative Risk Analysis uses simple approximate values.

Quantitative is more objective; qualitative is more subjective.

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Introduction to quantitative research What is quantitative research. Research methods in education (and the other social sciences) are often divided into two main types: quantitative and qualitative methods.

This book will discuss one of these two main strands: ‘quantitative methods’, and what distinguishes quantitative from. Qualitative Risk Analysis; Quantitative Risk Analysis; Qualitative risk analysis. Qualitative risk analysis requires that the probability and consequences of the risk be evaluated using established qualitative-analysis methods and tools, describing them in terms such as very high, high, moderate, low, very low.

Qualitative analysis cannot use numbers or percentages to grade P & I. Quantitative analysis is done only after Qualitative analysis; Quantitative analysis is done only for time and cost objectives; Quantitative analysis cannot done on individual project risks; Probability cannot be numerically evaluated in Quantitative analysis.

Over To You. Search and browse books, dictionaries, encyclopedia, video, journal articles, cases and datasets on research methods to help you learn and conduct projects.

Learn about quantitative methods. Little Green Books. Learn about qualitative methods.

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Find practice datasets to help you master qualitative and quantitative data analysis. Find out. A computer simulation of the pre senting features of a case of pelvic infection has been used to compare the effects of quantitative and qualitative probability estimates on the diagnostic accuracy of Bayes' theo rem.

For the commoner conditions (prior probability ≥ ) the use of a two- or three-category system is virtually equivalent to. What are qualitative, quantitative and mixed-method methodologies? Qualitative, quantitative and mixed-methods are different types of methodologies, distinguished by whether they focus on words, numbers or is a bit of an oversimplification, but its a good starting point for understandings.

Again, the quantitative nature of scientific uncertainty undermines this-- there are no shruggies in science, but rather a range of possible outcomes, with quantitative probability.

Quantitative Research for the Qualitative Researcher is a concise, supplemental text that provides qualitatively oriented students and researchers with the requisite skills for conducting quantitative research. Throughout the book, authors Laura M. O'Dwyer and James A. Bernauer provide ample support and guidance to prepare readers both cognitively and attitudinally to conduct high .