David Foxcroft

Based on Danielle Navarro's widely acclaimed and prize-winning book Learning Statistics with R, this elegantly designed textbook offers undergraduate students a thorough and accessible introduction to jamovi, as well as how to get to grips with statistics and data manipulation. Lucid and easy to understand, Learning Statistics with jamovi covers the analysis of contingency tables, t-tests, correlation, regression, ANOVA and factor analysis, while also giving students a firm grounding in descriptive statistics and graphing. It includes learning aids for applying statistical principles using the jamovi interface, as well as embedded data files to accompany the book, and comprehensive chapters on probability theory, sampling and estimation, and null hypothesis testing. Freely available in open access, Learning Statistics with jamovi is an ideal introduction for undergraduate and postgraduate students of psychology, as well as behavioural and health science students and anyone who needs to understand and use statistical analysis in their work.

Based on Danielle Navarro's widely acclaimed and prize-winning book Learning Statistics with R, this elegantly designed textbook offers undergraduate students a thorough and accessible introduction to jamovi, as well as how to get to grips with statistics and data manipulation. Lucid and easy to understand, Learning Statistics with jamovi covers the analysis of contingency tables, t-tests, correlation, regression, ANOVA and factor analysis, while also giving students a firm grounding in descriptive statistics and graphing. It includes learning aids for applying statistical principles using the jamovi interface, as well as embedded data files to accompany the book, and comprehensive chapters on probability theory, sampling and estimation, and null hypothesis testing. Freely available in open access, Learning Statistics with jamovi is an ideal introduction for undergraduate and postgraduate students of psychology, as well as behavioural and health science students and anyone who needs to understand and use statistical analysis in their work.

Illegal psychoactive substances and illicit prescription drugs are currently used on a daily basis all over the world. Affecting public health and social welfare, illicit drug use is linked to disease, disability, and social problems. Faced with an increase in usage, national and global policymakers are turning to addiction science for guidance on how to create evidence-based drug policy. Drug Policy and the Public Good is an objective analytical basis on which to build global drug policies. It presents the accumulated scientific knowledge on drug use in relation to policy development on a national and international level. By also revealing new epidemiological data on the global dimensions of drug misuse, it questions existing regulations and highlights the growing need for evidence-based, realistic, and coordinated drug policy. A critical review of cumulative scientific evidence, Drug Policy and the Public Good discusses four areas of drug policy; primary prevention programs in schools and other settings; supply reduction programs, including legal enforcement and drug interdiction; treatment interventions and harm reduction approaches; and control of the legal market through prescription drug regimes. In addition, it analyses the current state of global drug policy, and advocates improvements in the drafting of public health policy. Drug Policy and the Public Good is a global source of information and inspiration for policymakers involved in public health and social welfare. Presenting new research on illicit and prescription drug use, it is also an essential tool for academics, and a significant contribution to the translation of addiction research into effective drug policy.