Advanced Research Methods for Applied Psychology

- Design, Analysis and Reporting

Forfatter: info mangler
Bog
  • Format
  • Bog, paperback
  • Engelsk

Beskrivelse

This is the first comprehensive guide to the range of research methods available to applied psychologists. Ideally suited to students and researchers alike, and covering both quantitative and qualitative techniques, the book takes readers on a journey from research design to final reporting.

The book is divided into four sections, with chapters written by leading international researchers working in a range of applied settings:



Getting Started

Data Collection

Data Analysis

Research DisseminationWith coverage of sampling and ethical issues, and chapters on everything from experimental and quasi-experimental designs to longitudinal data collection and focus groups, the book provides a concise overview not only of the options available for applied research, but also of how to make sense of the data produced. It includes chapters on organizational interventions and the use of digital technologies, and concludes with chapters on how to publish your research, whether it’s a thesis, journal article or organisational report.

This is a must-have book for anyone conducting psychological research in an applied setting.

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Detaljer
  • SprogEngelsk
  • Sidetal332
  • Udgivelsesdato17-08-2018
  • ISBN139781138698901
  • Forlag Routledge
  • FormatPaperback
Størrelse og vægt
  • Vægt480 g
  • coffee cup img
    10 cm
    book img
    15,6 cm
    23,4 cm

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    Data protection Intellectual property Memory Neuropsychology Organizational psychology Forensic psychology Qualitative Statistical methods Clinical psychology Dummy variables Quantitative Attention Neuroscience Executive Function Linear Models Health psychology Mixed-methods Missing data Research evaluation Online-research Random Sampling Missing Values Hypothesis testing Model building Web Surveys Alan Sloane Amy Hawkes Amanda Biggs Andrew Robertson Bayesian SEM Bias Correct Bootstrap CIs Bias Corrected Percentile Bootstrap Caley Tapp Candice Bowman Christian Dormann Archival Datasets Chris G. Sibley Bradley E. Gray Carlo Tramontano Cheating Behaviour effect sizes Family Supportive Supervisory Behaviours Christina Guthier ERP Component Conditional Process Models Craig McGarty Gwenith G. Fisher Gary Allen Full Multilevel Models hierarchical regression David Shum Danielle R. Wald David Gough Imputation Phase growth modelling Dorey S. Chaffee Duygu Biricik Gulseren Joel M. Hektner John O'Gorman E. Kevin Kelloway Erin M. Eatough ESM Study Ethical guidelines Liz Jones Jennifer Brown Joshua L. Howard Kimberly A. Neuendorf Maree Roche Olav Muurlink multi-level analyses Michelle Richardson Missing Data Methods missing variables Morning Affect Multilevel SEM p-hacking Rachel Davis p-curves SEM Analysis sport and exercise psychology Stefano Occhipinti self-report survey Seamus O'Reilly Social Science Data Archives Michael J. Zyphur Michael O'Driscoll Null Hypothesis Significance Testing William H. Yeaton Patrick D. Dunlop Zoe C. Walter longitudinal designs pilot testing Percentile Base Bootstrap CI Smart Phones Roberta Fida Stephen A. Woods Yanyun Yang Stochastic Regression Imputation Toni Fowlie survey time lags Workplace Health Promotion Interventions

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