Walter Davis

Walter Davis Email and Phone Number

Retired at My house @ University of Wollongong
Walter Davis's Location
Greater Sydney Area, Australia
Walter Davis's Contact Details

Walter Davis personal email

n/a
About Walter Davis

I am now retired. If you have need for some contract statistical analysis or training, feel free to contact me.My primary statistical interests are survey statistics, structural equation and causal modelling, and longitudinal analysis. My background in the social sciences has allowed me to work across many substantive areas including public health, housing policy, education and sociology. I also have a strong background in statistical training and teaching.I was a Senior Research Fellow at the University of Wollongong for several years with stints in the Australian Health Services Research Institute, the Population, Wellbeing and Environment Research Lab (PowerLab) and the National Institute for Applied Statistics Research Australia. Previously, I was a Principal Methodologist at Statistics New Zealand, the Research Director at the Center for Community Capitalsim at the University of North Carolina and the Health Data Analyst at the Odum Institute for Research in Social Science at the University of North Carolina.

Walter Davis's Current Company Details
University of Wollongong

University Of Wollongong

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Retired at My house
Walter Davis Work Experience Details
  • My House
    Retired
    My House Sep 2021 - Present
    If you have a piece of interesting research needing some part-time statistical work or your organisation would like to arrange training in linear regression, generalized linear models, mixed models, causal models, survey analysis or structural equation models, feel free to contact me.Beyond that, I plan to spend a lot of time on my deck looking at the ocean and some horses.
  • University Of Wollongong
    Senior Research Fellow
    University Of Wollongong Jul 2012 - Present
    Contract research and professional education in survey and statistical methodology. I specialize in survey design and analysis, structural equation models and mixed/hierarchical models. Currently I am also the Acting Director of our Centre for Sample Survey Methodolgy and the coordinator of NIASRA's professional education program.
  • Victoria University Of Wellington
    Adjunct Lecturer
    Victoria University Of Wellington Jul 2010 - Jun 2012
    School Of Economics And Finance
    Lectured in introductory statistics at the undergraduate and post-graduate level.
  • Statistics New Zealand
    Principal Methodologist
    Statistics New Zealand Sep 2005 - Jun 2012
    Responsible for corporate-wide advice on survey methodology and analysis with an emphasis on social surveys.
  • University Of North Carolina At Chapel Hill
    Research Director
    University Of North Carolina At Chapel Hill 2000 - 2005
    Center For Community Capitalism
    I managed a longitudinal study of low-income homeowners and renters and coordinated the Center's quantitative research program. I provided statistical expertise and analysis on several publications and reports, especially in the areas of low-income homeownership, affordable housing and subprime mortgage performance.
  • University Of North Carolina At Chapel Hill
    Health Data Analyst
    University Of North Carolina At Chapel Hill 1994 - 2000
    Institute For Research In Social Science
    Statistical consulting, SAS consulting and data custodian focusing on health research and data.

Walter Davis Skills

Sas Programming Sas R Statistics Data Analysis Science Program Evaluation Survey Methodology Quantitative Research Statistical Modeling Data Collection

Frequently Asked Questions about Walter Davis

What company does Walter Davis work for?

Walter Davis works for University Of Wollongong

What is Walter Davis's role at the current company?

Walter Davis's current role is Retired at My house.

What is Walter Davis's email address?

Walter Davis's email address is wa****@****govt.nz

What skills is Walter Davis known for?

Walter Davis has skills like Sas Programming, Sas, R, Statistics, Data Analysis, Science, Program Evaluation, Survey Methodology, Quantitative Research, Statistical Modeling, Data Collection.

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