For theses, dissertations and journal articles

Statistical consultancy for social and behavioural science research.

We help academics, postgraduate students and practitioner-researchers analyse their data, understand their results and draw conclusions they can defend.

Multiple regression sample output
Predictor β SE p
Social support 0.42 0.08 < .001
Work stress −0.31 0.09 .001
Age 0.05 0.07 .470
R² = .38 F(3, 210) = 42.6 n = 214
A thinker, chin resting on his fist, drawn entirely from numbers and statistical symbols

Universities

Researchers from these universities have worked with us

The problem

One statistics course was never meant to carry your research

Most social science students take one statistics course as part of their degree. It teaches formulas more than decisions. By the time you design your own study, that course is years behind you.

01

“I haven’t done statistics since my undergrad.”

Many social scientists say learning statistics felt like learning a foreign language. That anxiety grows when your thesis depends on getting the statistics right.

02

“Which test should I use?”

You learnt how to calculate, not how to choose. Now the choice is yours, and your examiner will ask why you made it.

03

“Why doesn’t my data fit the analysis I planned?”

Decisions you made when designing the questionnaire can rule out analyses later. Most researchers find this out only once the data is in.

04

“What do these results actually mean?”

The software gives you a table of numbers. It doesn’t tell you what to write, or how to defend it to your supervisor or a reviewer.

Your course was designed to teach you “to recognise when a statistician is needed.” That moment is now.

North & Zewotir (2006), South African Journal of Higher Education 20(4)

The solution

We work through it with you

You bring the question and the data. We bring the statistics, and the research stays yours.

Missing values and outliers were screened before analysis, and the assumptions of each test were checked against the data. The analysis plan was agreed with the supervisor before any results were examined. The next chapter reports the results in the order of the research questions.

YOUR RESEARCH

47

Chapter 4

Results and Findings When We Work Through It with You

4.1

Statistics explained from the start

No question is too basic. You’ll leave each session able to explain the method yourself.

4.2

The right test, and why

We match the analysis to your question and your data. You’ll know why it fits, so you can defend the choice.

4.3

An analysis your data can support

If your data doesn’t fit the plan, we find the analysis it can support. If you haven’t collected yet, we check the questionnaire first.

4.4

Results you can write up and defend

We turn the output into plain-language findings. Then we go through the questions your supervisor or examiner is likely to ask.

YOUR RESEARCH

48

Chapter 5

Discussion

This chapter interprets the findings in light of the research questions and the literature reviewed in Chapter 2.

Why STATS-LAB

You’re the one who has to defend the results

The deadline is fixed, your supervisor’s comments are waiting, and the examiner will ask why you chose that test. It’s a lot to carry when statistics isn’t your field.

We’ve guided researchers through each of those moments, and our statisticians hold MA, PhD in social and behavioural science.

Level of thinking on quality of research Fig. 1
Level of thinking on quality of research: with STATS-LAB it keeps rising to conceptual; on your own it levels off at descriptiveConceptualSo what?AnalyticalWhy?DescriptiveWhat? How?Quality of researchLevel of thinkingWith STATS-LABOn your own
Level of thinking on quality of research: with STATS-LAB it keeps rising to conceptual; on your own it levels off at descriptiveConceptualSo what?AnalyticalWhy?DescriptiveWhat? How?Quality of researchLevel of thinkingWith STATS-LABOn your own

After Trafford & Leshem (2008), Stepping stones to achieving your doctorate

40+

researchers supported through a thesis or dissertation

60+

journal articles helped to publish

20+

workshops and online training

7+

years guiding researchers

“Roger is very experienced and very thorough in his analysis. He is well versed in the various programmes and knowledgeable about choosing the correct program for the required analysis. I can recommend Roger very highly.”

Cathy Austin

Cathy Austin

MBA graduate

“I learnt a lot from you in terms of stats brother, and it has been my leverage.”

Dr Nkululeko Fuyane

Dr Nkululeko Fuyane

Lecturer, School of Business and Law, University of Brighton

The plan

Three steps to results you can defend and publish

Where are you now?

Planning your study

Analysing your data

Responding to feedback

Leads to
Step 1 Start here

Tell us about your study

Send your question, your plan or your data. We’ll tell you how we can help.

Book a consultation
Leads to
Step 2

Work through it together

We choose the right analysis with you and explain each step as we go.

Leads to
Step 3

Defend your results

You write up findings you understand, ready for the questions your examiner or reviewers will ask.

Leads to

Results you can defend and publish

Services

What we do

Power rises with sample sizeThe curve crosses the .80 power line at the sample size your study needs..80n neededPowerSample size

01 · Design

Research design

Sampling, power and instrument design, settled before you collect data so the analysis stands on something sound.

Sampling

Power analysis

About design
Factor loadings against a .70 cut-offFive items load above the .70 line and are kept; one falls below it and is dropped.Q1Q2Q3Q4Q5Q6.70dropItem loadings

02 · Measurement

Psychometrics and measurement

Scale development and validation, with reliability and validity reported the way examiners expect.

Psychometrics

CR · AVE · HTMT

About measurement
Mediation path modelThe predictor affects the outcome through the mediator (paths a and b) as well as directly (path c′).PredictorMediatorOutcomeabc′

03 · Analysis

Quantitative analysis

Descriptive, inferential and advanced modelling: EFA, CFA, SEM, PLS-SEM, mediation and moderation.

PLS-SEM

SEM

Regression

About analysis
Confidence rises session by sessionEach session builds on the last, from the fundamentals to PLS-SEM.ConfidenceFundamentalsPLS-SEM

04 · Workshops

Workshops and training

Hands-on training for supervisors, students and research teams, from the fundamentals to PLS-SEM.

New

Workshops

About workshops

Working with us

Clear about our role, careful with your data

Research ethics has three sides: what is right, what is permitted and what is done day to day. Each one protects you, your participants and your institution.

Here is where we stand on each, before you send us anything.

Ethics in your study Fig. 2
Ethics in your study: three sides, moral, legal and operational, around you, your participants and your institutionMinimum riskConsent · ConfidentialityAccess · AnonymityYouYour participantsYour institution01 · MORALValues02 · LEGALEthics clearance03 · OPERATIONALProcesses
Ethics in your study: three sides, moral, legal and operational, around you, your participants and your institutionMinimum riskConsent · ConfidentialityAccess · AnonymityYouYour participantsYour institution01 · MORALValues02 · LEGALEthics clearance03 · OPERATIONALProcesses

After Samuel, UKZN School of Education: ethics as a multi-dimensional issue

01 · Moral

Our role

The research stays yours. We guide and explain; you make the decisions.

What we do


Explain each method in plain language


Help you choose the right analysis and justify it


Check your questionnaire before you collect data


Help you interpret results and prepare for examiner questions

What we don’t do

Not included

Write your thesis, dissertation or chapters for you

Not included

Change, invent or remove data to get a result

Not included

Promise a particular result or p-value

02 · Legal

Approval and authorship

Agreed in writing, before any work starts.

Ethics approval

We work with data you collected after ethics approval.

Journal articles and authorship

For journal articles, we agree at the start whether our work is recognised in the acknowledgements or through co-authorship. We follow the ICMJE authorship criteria, so the decision rests on what we actually contribute.

03 · Operational

Your data

How your data is handled, from the moment you send it.

Before you send it


Ensure participants’ consent has been obtained

Once we have it


Kept confidential


Used only for your project


Handled in line with POPIA

Pricing

Choose the support you need

Buy a month of support when you need it. No contracts and no automatic renewal.

Essentials

0 h 6 h

Professional

12 h

Premium

20 h

Extra hours

R650 each

Essentials

R3,499

for one month


Up to 6 hours in one month


Review of your analysis sections for statistical accuracy


Replies within 48 hours

Premium

R9,999

for one month


Up to 20 hours in one month


Review of your analysis sections for statistical accuracy


Priority support, resolved by the next business day


WhatsApp and text support in office hours

Extra hours

R650

an hour

One-off projects

Prefer a single project? We quote once we’ve seen your study. Typical starting prices:

Consultation

R450 per 30 minutes

Data cleaning and coding

from R1,500

Descriptive analysis

from R2,500

Questionnaire development

from R3,500

Inferential statistics

from R4,500

Advanced modelling: EFA, CFA, SEM

from R12,000

Client work

What changed for researchers we worked with

Each case is shared with the researcher’s written permission. We leave out names, topics, institutions and findings, and show what was hard, what we did and what changed.

Mediation path modelThe predictor affects the outcome through the mediator (paths a and b) as well as directly (path c′).PredictorMediatorOutcomeabc′

Case 01 · MBA · Human resources

From survey data to a tested theory

PLS-SEM

Reliability and validity

Before

A theory-based questionnaire, three hypotheses to test, and two constructs that overlapped so closely the standard validity checks failed.

With STATS-LAB

We checked reliability and validity, refined the measurement model, then tested each hypothesised path in PLS-SEM. Every step came with the references to cite in her methods and results chapters.

After

“The analysis was also made very simple for me, a non-statistical person, to understand and translate into my dissertation.”

MBA graduate

Multigroup comparisonThe same path is estimated in two groups and compared: strong in group A, weaker in group B.Group APredictorOutcomeGroup BPredictorOutcomecompare

Case 02 · PhD · Education

From chapters that didn’t fit to a study built for its analysis

PLS-SEM

Multigroup analysis

Before

Chapters 1 to 3 were written, but they didn’t set up the analysis she hoped to run or the results she hoped to report.

With STATS-LAB

We realigned the opening chapters with the analysis, tested six research objectives in PLS-SEM and compared two university settings with multigroup analysis. Then we turned the thesis into a journal article and worked through the reviewers’ comments.

After

Placeholder · awaiting exact wording from the client

The chapters now lead to the analysis, and an article from the thesis went back to the journal with every reviewer comment answered.

Correlation and regressionAn illustrative scatterplot with a fitted regression line.YPredictor

Case 03 · Master’s · Economics

From mismatched data to answers the chapters agree on

Correlation

Multiple regression

Before

Data spread across workbooks that didn’t match, research questions that didn’t line up with the analysis, and regression results without the tables and checks needed to interpret them.

With STATS-LAB

We reconciled the data files and helped reframe the research questions so the opening, method and results chapters matched. Then we checked the assumptions, ran the correlations and a multiple regression, and explained every table in plain language.

After

Placeholder · awaiting exact wording from the client

One consistent set of data, questions and results, with every table explained well enough to defend in the examination.


Get in touch

Have a dataset and a question? Let’s think it through.

Tell us about your study and your deadline. We’ll reply with a scoped plan and a clear quote.

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