Statistics and Data Analysis Web-Based Proforma

To be completed by candidate in consultation with proposed supervisors for submission to the School of Mathematical and Geospatial Sciences. This proposal document must be completed and sent to

1.0 Stage of research

Project Planning stage (pre-implementation/pre-survey/collection)

Data collection (trial analysis, still collecting data)

Post-Data collection (finalised data, [pre] analysis stage)

Post-Analysis (finalised analysis, write-up stage)

2.0 Student Information

Mr/Ms/Other

Family Name
Given Name(s)
Student Number
Email Address
Contact Phone Number
PhD/Master/Prof.Doctorate
Program Name
Program Code
Current Year of Study
School
Anticipated submission date
F/T or P/T
Prior Qualifications
(u/g, p/g, name of institutions, years)
Names of Project Supervisors/Consultants
3.1 WORKING PROJECT TITLE
3.2 DESCRIPTION OF THE RESEARCH (up to half a page)
Please provide a brief summary of your research in language that is understandable to people outside the discipline area. As best you can, indicate the objectives and research questions and information regarding the project methodology.
3.3 DESCRIPTION OF THE PROPOSED ANALYSES FOR THE RESEARCH (up to half a page)
How do you think statistics/data analysis will answer your research questions? Please provide a description of the analyses that you propose to complete as part of your research. This may include a description of group-based analyses where relevant.

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4.0 Previous Experience with Statistics

Please tick all of the following that apply to you in regard to the statistical techniques that you have studied, the areas that you believe you will require to analyse data for your PhD. Only rate a level of confidence for those analyses that you believe you will require to complete your PhD.

Studied Required in PhDLevel of Confidence (0= Low, 5 = High)

Research Design

(e.g., double-blind, pre-post)

Questionnaire/survey development

(e.g., Item development, Likert scales)

Screening and cleaning of data

(e.g., data entry errors, data validation)

Assumption testing

(e.g., normality, homogeneity of variance)

Basic descriptive statistics

(e.g., Mean, standard deviation, range)

Basic inferential tests

(e.g., t-tests, Χ2, ANOVA, z-tests)

Advanced inferential tests

(e.g., MANOVA, Repeated measures)

Discipline specific tests

(e.g., Kappa, Triangle test, Odds ratios)

Data reduction methods

(e.g., Factor analysis, Cluster analysis, Rasch)

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5.0 Stage of Progress

What stage of your research are you at?

Stage of Progress / Please Choose StagePlanning ResearchHave Started Data CollectionNeed to start Analysing DataFalling Behind, Advice NeededWaiting on Statistician to ProgressOther (Please indicate under other comments)
Other Comments

6.0 Availability

Which Campus would you like to attend? / Please Choose CampusCity (Tuesday)Bundoora (Friday)Other (Please indicate under other comments)
Other Comments

Thanks for completing the survey. Please email this form to and will be contacted shortlyregarding an appointment.

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