Disciplines

Statistical consulting for psychology & social sciences

Expert quantitative support for researchers in psychology, education, social work, and social sciences — specialising in SEM, factor analysis, scale validation, and the full range of methods used in social science research.

SEM · Factor analysis · Validation
Psychology · Education · Social Work
Australia-wide · 100% online
Who this page is for

Statistical support across social science disciplines

We work with researchers across psychology and the social sciences — from Honours projects to postdoctoral publications.

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Psychology Researchers

We work with Honours, HDR and postdoctoral psychology researchers on the methods that define quantitative psychology research: structural equation modelling, confirmatory factor analysis, mediation and moderation analysis, and scale validation.

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Education Researchers

Statistical support for education researchers across school, vocational, and higher education contexts — including multilevel modelling for clustered data, ANCOVA for pre-post designs, and instrument development and validation.

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Social Work & Community Research

We support social work, criminology, sociology, and community welfare researchers with the quantitative methods their studies require — including logistic regression, survival analysis, and psychometric scale validation.

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Mixed-Methods & Survey Research

We support the quantitative components of mixed-methods studies — including survey analysis, scale validation, and integration of quantitative findings with qualitative data.

Methods

Methods commonly used in psychology and social sciences

The quantitative methods we specialise in for social science research:

Structural Equation Modelling (SEM)

Full-model SEM, path analysis, confirmatory factor analysis (CFA), and latent variable modelling.

Mediation & moderation analysis

Direct and indirect effects, PROCESS macro-equivalent analyses, and moderated mediation.

Scale development & validation

Exploratory factor analysis (EFA), CFA, Cronbach's alpha, McDonald's omega, convergent and discriminant validity, and measurement invariance testing.

Regression & prediction models

Linear, logistic, hierarchical regression, and multilevel (HLM) models — for predictors of outcomes in survey and longitudinal data.

Group comparison methods

Independent and paired t-tests, ANOVA, MANOVA, ANCOVA, and non-parametric equivalents — with appropriate effect size reporting.

Repeated measures & longitudinal

Repeated measures ANOVA, mixed models for longitudinal data, growth curve modelling, and pre-post intervention analysis.

Why methodology matters

Why quantitative methodology matters in psychology and social science

Psychology and social science research increasingly demands methodological sophistication. Thesis committees and journal reviewers expect not just correct statistical tests but appropriate handling of construct validity, measurement error, and the complexity of human data.

SEM, CFA, and multilevel modelling are no longer advanced options — they are standard practice in high-quality psychology and education research. We help researchers apply these methods correctly, understand the outputs, and report them in ways that meet the expectations of examiners and peer reviewers.

When to engage a statistical consultant

→ You are conducting SEM or CFA and need help with model specification, fit indices, and interpretation
→ You are validating a new or adapted scale and need reliability and validity analysis
→ You are using mediation or moderation analysis and are unsure how to specify or interpret the model
→ Your multilevel data structure (students within schools, patients within clinics) needs to be handled correctly
Disciplines

Psychology & social science disciplines we work with

PsychologyClinical PsychologyEducational PsychologyEducationSocial WorkCriminologySociologyOrganisational BehaviourHuman FactorsSpeech PathologyOccupational TherapyCommunity WelfareMarketing Research
FAQ

Frequently asked questions

Have a question not covered here? Get in touch directly.

Send us a message →
Do you write my thesis or scientific work for me?
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Absolutely not. We are biostatistical consultants — not ghostwriters. The intellectual content, scientific reasoning, and writing of your thesis are entirely your own. What we provide is expert guidance on statistical methodology and analysis. Your supervisor must be aware that you are using the service.
Do I need to acknowledge your involvement in my thesis?
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Yes — and we require it as a condition of working with us. Any consulting we provide must be acknowledged in your thesis, dissertation, or research project, typically in the Acknowledgements section. We will guide you on appropriate acknowledgement wording when the time comes.
Do you support postdocs and clinical researchers, not just students?
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Yes. We work with postdoctoral researchers, early-career academics, and clinical researchers at all career stages across Australia. Whether you are preparing a manuscript for a peer-reviewed journal, developing the statistical sections of an ARC or NHMRC grant application, or analysing data from a clinical project, we provide the same collaborative, rigorous service.
How does the consulting process work?
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We start with an initial meeting to understand your research aims and data. We then work through the analyses together, prepare a detailed technical report, and walk you through the findings in a dedicated session — so you leave with a solid grasp of the methodology and results. Ongoing support by email about the delivered material is included at no extra cost.
How long does it take?
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It depends on the complexity of your analyses and how well-organised your data is. Get in touch with the details of your project and we will give you a realistic timeframe along with a quote.
Which disciplines do you work with?
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We specialise in health and applied sciences: Medicine, Nursing, Physiotherapy, Public Health, Epidemiology, Psychology, Pharmacy, Nutrition and Dietetics, Dentistry, Veterinary Science, Occupational Therapy, Speech Pathology, Midwifery, Biomedical Science, and more. If your discipline is not listed, get in touch — we most likely cover it.
How much does biostatistical consulting cost in Australia?
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Pricing is tailored to each project based on the type of analysis, volume of data, and level of support required. We provide a free, no-obligation quote after an initial discussion — there are no hidden fees, and the quote you receive covers the full scope agreed upon.
Can I use this service even if my university has its own statistical consulting centre?
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Yes. LM Statistics is a private, independent consulting service — there are no affiliation requirements. You can engage us regardless of which Australian university you attend or which institution you are affiliated with. Many researchers use external consulting precisely because university centres have waiting lists, restricted access policies, or limited availability.
I am an international student studying in Australia. Can I use this service?
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Yes. We work with all researchers studying or working at Australian institutions, regardless of nationality or visa status. The service is 100% online, so your location within Australia is also not a constraint.
Can you help me with SEM fit indices and model modification?
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Yes. We review model fit (CFI, RMSEA, SRMR, TLI), advise on theoretically justified modifications, and help you understand and report the results in a way that meets examiner and reviewer expectations.
I need to validate a scale I adapted from an existing instrument. Can you help?
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Yes. We conduct the full validation sequence: exploratory factor analysis if needed, confirmatory factor analysis, reliability analysis (Cronbach's alpha, McDonald's omega), and convergent and discriminant validity testing.
Do you support mixed-methods research?
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We support the quantitative component of mixed-methods studies — including survey analysis, scale validation, and descriptive and inferential statistics. We do not conduct qualitative analysis, but we can help ensure your quantitative and qualitative components are methodologically coherent.

Ready to discuss your psychology or social sciences project?

Tell us about your research and we will respond with a quote and timeline.

Contact

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