Of Steps to Conduct the Frequencies and Means ProceduresExercises; Chapter 3 Graphical Procedures; Bar Charts; Histograms; Scatterplots; Boxplots; Summary of Steps for Producing Bar Charts, Histograms, Scatterplots, and Boxplots in SPSS; Exercises; Chapter 4 Reliability (as Measured by Coefficient Alpha); Example; Objective and Data Requirements of Coefficient Alpha; Data Entry and Analysis in SPSS; Expression of the Results; Summary of Steps for Conducting a Reliability Analysis in SPSS; Exercises; Unit II Inferential Statistics; Chapter 5 The One-Sample t Test; Example.
Statistics and Probability in Forensic Anthropology provides a practical guide for forensic scientists, primarily anthropologists and pathologists, on how to design studies, how to choose and apply statistical approaches, and how to interpret statistical outcomes in the forensic practice. As with other forensic, medical and biological disciplines, statistics have become increasingly important in forensic anthropology and legal medicine, but there is not a single book, which specifically addresses the needs of forensic anthropologists in relation to the research undertaken in the field and the interpretation of research outcomes and case findings within the setting of legal proceedings. The book includes the application of both frequentist and Bayesian statistics in relation to topics relevant for the research and the interpretation of findings in forensic anthropology, as well as general chapters on study design and statistical approaches addressing measurement errors and reliability. Scientific terminology understandable to students and advanced practitioners of forensic anthropology, pathology and related disciplines is used throughout. Additionally, Statistics and Probability in Forensic Anthropology facilitates sufficient understanding of the statistical procedures and data interpretation based on statistical outcomes and models, which helps the reader confidently present their work within the forensic context, either in the form of case reports for legal purposes or as research publications for the scientific community. - Contains the application of both frequentist and Bayesian statistics in relation to topics relevant for forensic anthropology research and the interpretation of findings - Provides examples of study designs and their statistical solutions, partly following the layout of scientific manuscripts on common topics in the field - Includes scientific terminology understandable to students and advanced practitioners of forensic anthropology, legal medicine and related disciplines
Keenly aware of students' anxiety with statistics, Ronald Yockey has written SPSS Demystified, now in its third edition. Through a comprehensive, step-by-step approach, this text is consistently and specifically designed to both alleviate anxiety toward the subject matter and build a successful experience analyzing data in SPSS.
This two-volume set (CCIS 1137 and CCIS 1138) constitutes the proceedings of the Third International Conference on Cyberspace Data and Intelligence, Cyber DI 2019, and the International Conference on Cyber-Living, Cyber-Syndrome, and Cyber-Health, CyberLife 2019, held under the umbrella of the 2019 Cyberspace Congress, held in Beijing, China, in December 2019. The 64 full papers presented together with 18 short papers were carefully reviewed and selected from 160 submissions. The papers are grouped in the following topics: Cyber Data, Information and Knowledge; Cyber and Cyber-enabled Intelligence; Communication and Computing; Cyber Philosophy, Cyberlogic and Cyber Science; and Cyber Health and Smart Healthcare.
Without question, statistics is one of the most challenging courses for students in the social and behavioral sciences. Enrolling in their first statistics course, students are often apprehensive or extremely anxious toward the subject matter. And while IBM SPSS® is one of the more easy-to-use statistical software programs available, for anxious students who realize they not only have to learn statistics but also new software, the task can seem insurmountable. Keenly aware of students’ anxiety with statistics (and the fact that this anxiety can affect performance), Ronald D. Yockey has written SPSS® Demystified: A Simple Guide and Reference, now in its fourth edition. Through a comprehensive, step-by-step approach, this text is consistently and specifically designed to both alleviate anxiety toward the subject matter and build a successful experience analyzing data in SPSS®. Topics covered in the text are appropriate for most introductory and intermediate statistics and research methods courses. Key features of the text: • Step-by-step instruction and screenshots • Designed to be hands-on with the user performing the analyses alongside the text on their computer as they read through each chapter • Call-out boxes provided, highlighting important information as appropriate • SPSS® output explained, with written results provided using the popular, widely recognized APA format • End-of-chapter exercises included, allowing for additional practice • SPSS® data sets available on the publisher’s website New to the Fourth Edition: • Fully updated to SPSS® 28 • Updated screenshots in full color to reflect changes in the SPSS® software system (version 28) • Exercises updated with up-to-date examples • Exact p-values provided (consistent with APA recommendations)
Evaluation is crucial for determining the effectiveness of social programs and interventions. In this nuts and bolts handbook, social work and health care professionals are shown how evaluations should be done, taking the intimidation and guesswork out of this essential task. Current perspectives in social work and health practice, such as the strengths perspective, consumer empowerment, empowerment evaluation, and evidence-based practice, are linked to evaluation concepts throughout the book to emphasize their importance.This book makes evaluation come alive with comprehensive examples of each different type of evaluation, such as a strengths-based needs assessment in a local community, a needs assessment for Child Health Plus programs, comprehensive program descriptions of HIV services and community services for the aged, a model for goals and objectives in programs for people with mental illness, a monitoring study of private practice social work, and process evaluations of a Medicare advocacy program and a health advocacy program to explain advance directives. Equal emphasis is given to both quantitative and qualitative data analysis with real examples that make statistics and concepts in qualitative analysis un-intimidating.By integrating both evaluation and research methods and assuming no previous knowledge of research, this book makes an excellent reference for professionals working in social work and health settings who are now being called upon to conduct or supervise program evaluation and may need a refresher on research methods. With a pragmatic approach that includes survey design, data collection methods, sampling, analysis, and report writing, it is also an excellent text or classroom resource for students new to the field of program evaluation.
This edited volume presents applications and modelling as a world-renowned sub-field of research in mathematics education. It includes the discussion on students’ development of modelling competency through the teaching of applications and modelling. The teaching of mathematical modelling is considered from different perspectives, such as mathematical, pedagogical-didactical perspectives and critical-societal or socio-political perspectives. Assessment practices (local, regional or international) of modelling activities and difficulties with modelling activities at school and university levels, respectively, are discussed. Use of technology and other resources in modelling activities and their impact on the modelling processes are included in the considerations. Teaching practices, teacher education and professional development programs concerning the integration of applications and modelling in school and university mathematics programs are developed in this context.
Valuable Partnerships: Cooperation, Innovation, and the Future of Municipal Texas bridges rich scholarship and practical application to produce an important reference for local government scholars and practitioners alike by covering the dynamic approaches altering how Texas municipalities operate. Valuable Partnerships investigates the efficacy of the American fragmented municipal model comprised of 89,000 jurisdictions. Critics consistently criticize this decentralized model while arguing for a regional structure yielding greater efficiencies and scalability that also solves the twin problems of equity and service delivery inequalities. Conversely, Valuable Partnerships presents evidence that Texas local governments leverage regional cooperation and innovation to achieve these results without the political and structural upheaval. The author utilizes historic analysis, benchmark results, socioeconomic measures, and budgetary data to demonstrate how Texas governments increase service performance and reduce the burden to taxpayers. Such results support a counter thesis to the structural regionalism hypothesis by presenting findings that Texas local jurisdictions embracing regional cooperation and data analytics will experience the same benefits.
Based on recent research, this book discusses how to improve quality, safety, efficiency, and effectiveness in patient care through the application of human factors and ergonomics principles. It provides guidance for those involved with the design and application of systems and devices for effective and safe healthcare delivery from both a patient
