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Introduction to Research Methods and Data Analysis in Psychology (Paperback, 3rd edition): Darren Langdridge, Gareth... Introduction to Research Methods and Data Analysis in Psychology (Paperback, 3rd edition)
Darren Langdridge, Gareth Hagger-Johnson
R1,797 Discovery Miles 17 970 Ships in 12 - 17 working days

This third edition of Introduction to Research Methods and Data Analysis in Psychology provides you with a unique, balanced blend of quantitative and qualitative research methods. Highly practical in nature, the book guides you, step-by-step, through the research process and is underpinned by SPSS screenshots, diagrams and examples throughout.

Introduction to Research Methods and Data Analysis in the Health Sciences (Hardcover): Gareth Hagger-Johnson Introduction to Research Methods and Data Analysis in the Health Sciences (Hardcover)
Gareth Hagger-Johnson
R5,162 Discovery Miles 51 620 Ships in 12 - 17 working days

Whilst the health sciences are a broad and diverse area, and includes public health, primary care, health psychology, psychiatry and epidemiology, the research methods and data analysis skills required to analyse them are very similar. Moreover, the ability to "appraise" and "conduct" research is emphasised within the health sciences and students are expected increasingly to do both. "

Introduction to Research Methods and Data Analysis in the Health Sciences" presents a balanced blend of quantitative research methods, and the most widely used techniques for collecting and analysing data in the health sciences. Highly practical in nature, the book guides you, step-by-step, through the research process, and covers both the consumption and the production of research and data analysis. Divided into the three strands that run throughout quantitative health science research critical numbers, critical appraisal of existing research, and conducting new research this accessible textbook introduces:

  • Descriptive statistics
  • Measures of association for categorical and continuous outcomes
  • Confounding, effect modification, mediation and causal inference
  • Critical appraisal
  • Searching the literature
  • Randomised controlled trials
  • Cohort studies
  • Case-control studies
  • Research ethics and data management
  • Dissemination and publication
  • Linear regression for continuous outcomes
  • Logistic regression for categorical outcomes.

A dedicated companion website offers additional teaching and learning resources for students and lecturers, including screenshots, R programming code, and extensive self-assessment material linked to the book s exercises and activities.

Clear and accessible with a comprehensive coverage to equip the reader with an understanding of the research process and the practical skills they need to collect and analyse data, it is essential reading for all undergraduate and postgraduate students in the health and medical sciences.

"

Introduction to Research Methods and Data Analysis in the Health Sciences (Paperback): Gareth Hagger-Johnson Introduction to Research Methods and Data Analysis in the Health Sciences (Paperback)
Gareth Hagger-Johnson
R1,425 Discovery Miles 14 250 Ships in 12 - 17 working days

Whilst the health sciences are a broad and diverse area, and includes public health, primary care, health psychology, psychiatry and epidemiology, the research methods and data analysis skills required to analyse them are very similar. Moreover, the ability to "appraise" and "conduct" research is emphasised within the health sciences and students are expected increasingly to do both. "

Introduction to Research Methods and Data Analysis in the Health Sciences" presents a balanced blend of quantitative research methods, and the most widely used techniques for collecting and analysing data in the health sciences. Highly practical in nature, the book guides you, step-by-step, through the research process, and covers both the consumption and the production of research and data analysis. Divided into the three strands that run throughout quantitative health science research critical numbers, critical appraisal of existing research, and conducting new research this accessible textbook introduces:

  • Descriptive statistics
  • Measures of association for categorical and continuous outcomes
  • Confounding, effect modification, mediation and causal inference
  • Critical appraisal
  • Searching the literature
  • Randomised controlled trials
  • Cohort studies
  • Case-control studies
  • Research ethics and data management
  • Dissemination and publication
  • Linear regression for continuous outcomes
  • Logistic regression for categorical outcomes.

A dedicated companion website offers additional teaching and learning resources for students and lecturers, including screenshots, R programming code, and extensive self-assessment material linked to the book s exercises and activities.

Clear and accessible with a comprehensive coverage to equip the reader with an understanding of the research process and the practical skills they need to collect and analyse data, it is essential reading for all undergraduate and postgraduate students in the health and medical sciences.

"

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