Big Data in Psychological Research provides an overview of big data theory, research design and analysis, collection methods, applications, ethical concerns, best practices, and future research directions for psychologists.

Ethics in Psychological Research is a brief, practical guide for student researchers and their mentors to answer ethical questions and navigate issues of institutional policies and academic freedom. Authors Daniel P. Corts and Holly E. Tatum guide readers in identifying, preventing, mitigating, and resolving ethical issues in research using a unique ethical framework. Each of the standalone chapters provide real-life examples of ethical questions, a description of scholarly work on the matter, and suggestions for how to address similar problems should they arise in the researcher’s own work. The book makes for a succinct and easy-to-use reference for any student conducting research in the behavioral sciences.

In An Introduction to Psychological Assessment and Psychometrics, Keith Coaley outlines the key ingredients of psychological assessment, providing case studies to illustrate their application, making it an ideal textbook for courses on psychometrics or psychological assessment. New to the Second Edition: Includes occupational and educational settings Covers ethical and professional issues with a strong practical focus Case study material related to work selection settings End of chapter self-assessments to facilitate students’ progress Compliant with the latest BPS Certificate of Testing curriculum

Methods in Psychological Research introduces students to the rich world of research in psychology through student-friendly writing, compelling real-world examples, and frequent opportunities for practice. Using a relaxed yet supportive tone that eases student anxiety, the authors present a mixture of conceptual and practical discussions, and spark reader interest in research by covering meaningful topics that resonate with today’s students. In-text features like Conceptual Exercises, FYI sections, and FAQ sections with accompanying visual cues support learning throughout the research experience. The Fourth Edition equips students with the tools they need to understand research concepts, conduct their own experiments, and present their findings.

Knowing how to find, analyse, and write about research papers is a foundational skill of your psychology degree that will set you up to ace your assessments. This book equips you with the skills, knowledge, and confidence to effectively use psychological research in your essays and reports. Using annotated examples and written in an accessible and interactive style that presumes no prior knowledge of psychology, it demonstrates how to glean exactly what you need from research papers to convey your points without getting side-tracked, allowing you to showcase your understanding of key concepts. How to Use Psychological Research is essential reading at the start of your degree and a useful guide for assessments throughout your studies. Amanda Morris is a Lecturer in Psychology at the University of Essex and an Associate Lecturer at the Open University. Tracey Elder is a Senior Lecturer and Staff Tutor at the Open University.

This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.

This concise reference serves as a companion to traditional research texts by focusing on such essentials as model construction, robust methodologies and defending a compelling hypothesis. Designed to wean Master's and doctorate-level students as well as new researchers from their comfort zones, the book challenges readers to engage in multi-method approaches to answering multidisciplinary questions. The result is a step-by-step framework for producing well-organized, credible papers based on rigorous, error-free data. The text begins with a brief grounding in the intellectual attitude and logical stance that underlie good research and how they relate to steps such as refining a topic, creating workable models and building the right amount of complexity. Accessible examples from psychology and business help readers grasp the fine points of observations, interviewing, simulations, interpreting and finalizing data and presenting results. Fleshed out with figures, tables, key terms, tips, and questions, this book acts as both a friendly lecturer and a multilevel reality check.