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Advanced Research Methods for Applied Psychology

- Design, Analysis and Reporting

About Advanced Research Methods for Applied Psychology

Advanced Research Methods for Applied Psychology provides a comprehensive discussion of 21 key topics for the completion of an applied psychology (or similar) research thesis/project. The book provides a 'one-stop shop' for the current issues and discussions of key research methods and common statistical analysis techniques, but avoids being a 'step by step' instruction guide. The book is divided into four sections, representing the stages of thesis completion: getting started; data collection; data analysis; and reporting research. Each chapter presents a detailed scholarly discussion on a topic and represents the most up-to-date reference for that topic. Chapters also provide key references for furthermore detailed readings and guides. The chapters are authored by leading researchers from all around the world. This book discusses both emerging and traditional research methods commonly utilised within applied psychology research projects and directly assists early researchers to provide an informed discussion of their decisions relating to their choice of for example: research sampling, the use of diary studies, appropriate survey time lags, conducting systematic reviews, and the macro and micro 'process issues' involved with conducting organisational interventions. This book is an important reference text for applied psychology research thesis/project students and researchers, including both under-graduate students and post-graduate. It will be of interest to applied psychology researchers in all fields (clinical, organisational, developmental, forensic, etc.), and to those in other disciplines. The book provides coverage of advanced research methods and statistical topics and is suitable for adoption for these courses in honours/post-graduate levels of study within applied psychology and related fields.

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  • Language:
  • English
  • ISBN:
  • 9781032424194
  • Binding:
  • Hardback
  • Published:
  • August 26, 2024
  • Dimensions:
  • 152x229x19 mm.
  • Weight:
  • 603 g.
Delivery: 2-3 weeks
Expected delivery: December 5, 2024

Description of Advanced Research Methods for Applied Psychology

Advanced Research Methods for Applied Psychology provides a comprehensive discussion of 21 key topics for the completion of an applied psychology (or similar) research thesis/project.
The book provides a 'one-stop shop' for the current issues and discussions of key research methods and common statistical analysis techniques, but avoids being a 'step by step' instruction guide. The book is divided into four sections, representing the stages of thesis completion: getting started; data collection; data analysis; and reporting research. Each chapter presents a detailed scholarly discussion on a topic and represents the most up-to-date reference for that topic. Chapters also provide key references for furthermore detailed readings and guides. The chapters are authored by leading researchers from all around the world. This book discusses both emerging and traditional research methods commonly utilised within applied psychology research projects and directly assists early researchers to provide an informed discussion of their decisions relating to their choice of for example: research sampling, the use of diary studies, appropriate survey time lags, conducting systematic reviews, and the macro and micro 'process issues' involved with conducting organisational interventions.
This book is an important reference text for applied psychology research thesis/project students and researchers, including both under-graduate students and post-graduate. It will be of interest to applied psychology researchers in all fields (clinical, organisational, developmental, forensic, etc.), and to those in other disciplines. The book provides coverage of advanced research methods and statistical topics and is suitable for adoption for these courses in honours/post-graduate levels of study within applied psychology and related fields.

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