Dòng Nội dung
1
A course in Rasch measurement theory : measuring in the educational, social and health sciences / David Andrich; Ida Marais
Singapore : Springer, 2019
478 pages. : illustrations
Ký hiệu phân loại (DDC): 300.15118
This book applies Rasch measurement theory to the fields of education, psychology, sociology, marketing and health outcomes in order to measure various social constructs. The chief focus is on first principles of both the theory and its applications. Because software is readily available to carry out analyses of real data, numerous small examples are provided in the book. The software used in these examples, and which is helpful in working through the text, is RUMM2030 (Rasch unidimensional models for measurement). The book's main goals are to equip researchers with the confidence they need in order to be in control of the analysis and interpretation of data, and to make professional rather than primarily statistical decisions mechanically. Because statistical principles are necessarily involved, reviews of the requisite statistics are provided in the Appendix. The content is based on courses that have been taught both online and in intensive form for over two decades. Although first principles are emphasised, much of the book is based on research conducted by the two authors and their colleagues.
Số bản sách: (0) Tài liệu số: (1)
2
Analyzing qualitative data with MAXQDA : text, audio, and video / Udo Kuckartz; Stefan Rädiker
Cham, Switzerland : Springer, 2019.
293 pages. : illustrations
Ký hiệu phân loại (DDC): 001.42
This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides guidance on implementing a variety of research methods and approaches, e.g. grounded theory, discourse analysis and qualitative content analysis, using the software. In addition, it explains specific topics, such as transcription, building a coding frame, visualization, analysis of videos, concept maps, group comparisons and the creation of literature reviews. The book is intended for masters and PhD students as well as researchers and practitioners dealing with qualitative data in various disciplines, including the educational and social sciences, psychology, public health, business or economics
Số bản sách: (0) Tài liệu số: (1)