About
Biography
Dr Peter Innes has worked at a number of Australian universities including University of Queensland, Southern Queensland University and University of Tasmania, and overseas at the University of London, Royal Holloway. His teaching areas have centred on research methods and methodology, with particular focus in his teaching and experience in the use of computers to assist in both qualitative and quantitative data analysis.
In addition, Dr Innes has 15 years of experience with teaching and consulting with IBM SPSS Australasia as an external consultant. As a consultant he assisted public and private organisations and clients across Australian industry in using data analysis as a means to achieving research and development. He has a diverse experience consulting with firms on their research skills in various settings including government, hospitals, police, justice and corrections, factories, logistics, mining and exploration, stockbroking and insurance. Dr Innes provides statistical advice and teaching to staff and higher degree students across the University.
Dr Innes' research area of expertise is in organisational studies, with an interest in both a functional (HRM, volunteering, social capital and psychological wellbeing) and a critical lens (work employment, diversity, job insecurity, power and inequality). He has a background in sociology, social structure and change, psychology and human resource management. Peter’s recent publications have tapped into COVID disruption to women’s career trajectories, teaching indigenous knowledge, volunteer motivation, disability in sport and education, natural disasters and distress, with research reports recently completed with teams focused on screen production industry mapping in the Sunshine and Gold Coasts, volunteering on the Sunshine Coast, and leading a team reporting on evaluating a youth homelessness program. Peter is also undertakes research into the modelling of predictors of sport performance.
Research areas
- experience, meanings, and impacts of social disruption
- social structure and inequality
- organisational change, restructuring and job insecurity
- organisational behaviour and human resource management
- professionals and flexible work practices
- peripheralisation of work (core ‘full-time’ and peripheral ‘part-time’)
- neo-institutional theory, isomorphism
Teaching areas
- Research and Advanced Data Analysis in Sociology and Psychology
- Research Methods and Methodology
- Using Computers to assist in Qualitative and Quantitative Analysis (NVIVO, Leximancer, R/R Studio, Jamovi, SPSS and AMOS)
- Survey Design and Analysis (Qualtrics)
- Geographical Information Systems and Data Representation (ArcGIS Pro)
Expert media commentary
- Different sources of data in research (from text and interviews to survey and organisationally-collected data)
- Using Computers to assist in Qualitative and Quantitative Analysis (NVIVO, Leximancer, SPSS and AMOS)
- Advanced Data Analytic Techniques (Mixed, Linear, and Logistic Regression; Factorial ANOVA; Structural Equation Modelling/Path Analysis; Cluster and Factor Analysis; NVIVO and Leximancer analyses of text)
- Survey Design and Analysis (e.g. Qualtrics)