Growing out of an interest in exploring the contemporary contexts and practices related to mental health social work across the world, this book provides a range of insights into the social factors which contribute, sometimes quite significantly, to the emergence of mental health problems for individuals and even whole communities.
Growing out of an interest in exploring the contemporary contexts and practices related to mental health social work across the world, this book provides a range of insights into the social factors which contribute, sometimes quite significantly, to the emergence of mental health problems for individuals and even whole communities.
This book provides a comprehensive overview of research methods in the behavioral sciences, focusing primarily on the conceptual issues inherent in conducting research.
This book provides a comprehensive overview of research methods in the behavioral sciences, focusing primarily on the conceptual issues inherent in conducting research.
While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data.
While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data.
This important new collection provides not only a comprehensive overview of how organizational interventions can improve health and well-being in the workplace - addressing its causes rather than the symptoms - but also the practical issues faced in their design, implementation and evaluation.
This important new collection provides not only a comprehensive overview of how organizational interventions can improve health and well-being in the workplace - addressing its causes rather than the symptoms - but also the practical issues faced in their design, implementation and evaluation.
Experience Sampling in Mental Health Research provides comprehensive and user-friendly guidance on when and how to apply this methodology in the assessment of clinical populations.
Experience Sampling in Mental Health Research provides comprehensive and user-friendly guidance on when and how to apply this methodology in the assessment of clinical populations.
Quantitative Psychological Research: The Complete Student's Companion expertly guides the reader through all the stages involved in undertaking quantitative psychological research: designing a study, choosing a sample of people, undertaking the study, analysing the data, and reporting the research.
Quantitative Psychological Research: The Complete Student's Companion expertly guides the reader through all the stages involved in undertaking quantitative psychological research: designing a study, choosing a sample of people, undertaking the study, analysing the data, and reporting the research.
The presentation of mental illness at work has different implications and consequences depending on the specific nature of the job, work context, regulatory framework and risks for the employee, organisation and society.
The presentation of mental illness at work has different implications and consequences depending on the specific nature of the job, work context, regulatory framework and risks for the employee, organisation and society.
Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume Two: Statistical Tools presents classical and modern statistical tools used in item response theory (IRT).
Choose the Proper Statistical Method for Your Sensory Data Issue Analyzing Sensory Data with R gives you the foundation to analyze and interpret sensory data.
Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data.
Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data.
Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume Two: Statistical Tools presents classical and modern statistical tools used in item response theory (IRT).
Choose the Proper Statistical Method for Your Sensory Data Issue Analyzing Sensory Data with R gives you the foundation to analyze and interpret sensory data.
Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data.
Mathematical Theory of Bayesian Statistics introduces the mathematical foundation of Bayesian inference which is well-known to be more accurate in many real-world problems than the maximum likelihood method.
Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE methods in the framework of ultramodern spatial microsimulation modeling while providing the novel approach of creating synthetic spatial microdata.
A Single Cohesive Framework of Tools and Procedures for Psychometrics and AssessmentBayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models.
Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume One: Models presents all major item response models.
Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions between states over time.
In a time when increasingly larger and complex data collections are being produced, it is clear that new and adaptive forms of data representation and analysis have to be conceived and implemented.
Complex Survey Data Analysis with SAS(R) is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors.
Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications.
Compliance with federal equal employment opportunity regulations, including civil rights laws and affirmative action requirements, requires collection and analysis of data on disparities in employment outcomes, often referred to as adverse impact.
Compliance with federal equal employment opportunity regulations, including civil rights laws and affirmative action requirements, requires collection and analysis of data on disparities in employment outcomes, often referred to as adverse impact.
Neuropsychological and psychological evaluations in school settings are often rich in detail about a child's cognitive, academic and emotional functions, and come with specific recommendations to support the child's performance in school.
Neuropsychological and psychological evaluations in school settings are often rich in detail about a child's cognitive, academic and emotional functions, and come with specific recommendations to support the child's performance in school.
By revealing underlying assumptions that influence the field of psychology, The Hidden Worldviews of Psychology's Theory, Research, and Practice challenges psychologists to reconsider the origins of ideas they may take as psychological truths.
By revealing underlying assumptions that influence the field of psychology, The Hidden Worldviews of Psychology's Theory, Research, and Practice challenges psychologists to reconsider the origins of ideas they may take as psychological truths.