Qualitative Analysis V2 Quantitative Analysis

A Step-by-Step Guide to Qualitative Data Coding is a comprehensive qualitative data analysis guide. It is designed to help readers to systematically analyze qualitative data in a transparent and consistent manner, thus promoting the credibility of their findings. The book examines the art of coding data, categorizing codes, and synthesizing categories and themes. Using real data for demonstrations, it provides step-by-step instructions and illustrations for analyzing qualitative data. Some of the demonstrations include conducting manual coding using Microsoft Word and how to use qualitative data analysis software such as Dedoose, NVivo and QDA Miner Lite to analyze data. It also contains creative ways of presenting qualitative findings and provides practical examples. After reading this book, readers will be able to: Analyze qualitative data and present their findings Select an appropriate qualitative analysis tool Decide on the right qualitative coding and categorization strategies for their analysis Develop relationships among categories/themes Choose a suitable format for the presentation of the findings It is a great resource for qualitative research instructors and undergraduate and graduate students who want to gain skills in analyzing qualitative data or who plan to conduct a qualitative study. It is also useful for researchers and practitioners in the social and health sciences fields.

This book is a companion to the first volume of The Practice of Qualitative Data Analysis published in 2021. Volume 2 provides an additional nine case studies of real-world examples that illustrate how MAXQDA is used in actual research projects. Each chapter is organized to walk the reader through the research example, beginning with an introduction to the topic, a discussion of data collection and methodological approach, and a step-by-step description of how they used MAXQDA from start to finish, gaining insights into both efficient ways to use MAXQDA and innovative approaches they might not be aware of. Readers can benefit from this book in several ways: - Get inspirations and solutions for their own projects - Learn more about innovative methodological approaches - Avoid pitfalls by learning from the lessons offered by the authors at the end of each chapter - Draw insights from more than 120 screenshots that illustrate qualitative research in practice Audience: - All researchers who want to get to learn the potential of qualitative data analysis with MAXQDA - All MAXQDA users who want to expand their knowledge and skills, regardless of whether they are novices or experts

X-ray fluorescence spectrometry has been an established, widely practiced method of instrumental chemical analysis for about 30 years. However, although many colleges and universities offer full-semester courses in optical spectrometric methods of instrumental analysis and in x-ray dif fraction, very few offer full courses in x-ray spectrometric analysis. Those courses that are given are at the graduate level. Consequently, proficiency in this method must still be acquired by: self-instruction; on-the-job training and experience; "workshops" held by the x-ray instrument manu facturers; the one- or two-week summer courses offered by a few uni versities; and certain university courses in analytical and clinical chemistry, metallurgy, mineralogy. geology, ceramics. etc. that devote a small portion of their time to applications of x-ray spectrometry to those respective disciplines. Moreover, with all due respect to the books on x-ray spectrometric analysis now in print, in my opinion none is really suitable as a text or manual for beginners in the discipline. In 1968, when I undertook the writing of the first edition of my previous book, Principles and Practice of X-Ray Spectrometric Analysis,* my objective was to provide a student text. However, when all the material was compiled, I decided to provide a more comprehensive book, which was also lacking at that time. Although that book explains principles, instrumentation, and methods at the begin ner's level, this material is distributed throughout a mass of detail and more advanced material.

Seminar paper from the year 2002 in the subject Business economics - Miscellaneous, grade: 2 (B), University of St. Gallen (Research Methods), language: English, abstract: As well in theory as both in the practicable reality the question arises repeatedly about the more convenient research method – the so-called method conflict between quantitative and qualitative research (Iberer 1). To go into this discussion and finally draw a conclusion I first define and compare both research methods and as a next step question its purposes. To get a better understanding for both research methods I limit my considerations to a clear distinction and do not go into the question of combining the two. “Quantitative research methods were originally developed in natural sciences to study natural phenomena” (Myers, Overview of qualitative research). It’s aim is to capture relevant facts [...] and explain them causally with empirical – analytical methods (Iberer 1). “Qualitative research methods [on the other hand] were developed in the social sciences to enable researchers to study social and cultural phenomena” (Myers, Overview of qualitative research). This method tries to clarify the basic issue of how subjects interpret and see the world, why and how they act and in which form changes take place (Iberer 1). After this rough overview I cope with the issue in more detail by opposing one research method to the other.

An encyclopedia about various methods of qualitative research.

Purchase of this book includes free trial access to www.million-books.com where you can read more than a million books for free. This is an OCR edition with typos. Excerpt from book: QUANTITATIVE ANALYSIS. (PART 1.) INTRODUCTION. 1. Definition of Quantitative Analysis.?Quantitative analysis is that branch of chemistry which has for its object the study of the methods for the determination of the exact quantities of the different constituents of a substance. If it is required to merely ascertain the amount of one of the elements contained in a substance, the operation is called a determination. If the amount of each of the elements is required, the process is called an analysis. Qualitative analysis informs us what elements a substance contains, without reference to quantity; and quantitative analysis takes the subject up where qualitative analysts leaves it, and shows us the exact amount of each of these elements contained in the substance. For instance, by means of qualitative analysis we learn that a silver coin is composed of silver and copper, and, by noting the relative sizes of the precipitates obtained, we would judge that it contains more silver than copper, but more than this we cannot learn from qualitative analysis. Having learned by qualitative analysis that the coin is composed of silver and copper, we are now ready to subject it to a quantitative analysis, and by this means determine the exact amount of each of these elements that it contains. Obviously, the qualitative analysis precedes the quantitative, for we must know what elements a substance contains before we determine their amount. For notice of the copyright, see page immediately following the tille page. The methods employed to obtain these results vary greatly, and are based on different principles. Depending on the principles employed, the subject may be divided into three parts; viz., gravimetric analysis, volumetric analysis, and special methods. 2. Gravimetric Ana...

The Second Edition of An Applied Guide to Research Designs offers researchers in the social and behavioral sciences guidance for selecting the most appropriate research design to apply in their study. Using consistent terminology, the authors visually present a range of research designs used in quantitative, qualitative, and mixed methods to help readers conceptualize, construct, test, and problem solve in their investigation. The Second Edition features revamped and expanded coverage of research designs, new real-world examples and references, a new chapter on action research, and updated ancillaries.