Catalogue/Tier 3 · Job Skills/Research & Media

AI+ for Quantitative Research & Statistics cover

T3-84 · Tier 3 · Job Skills

AI+ for Quantitative Research & Statistics

Design, Analyse and Report Quantitative Research with AI

From statistics anxiety to confident, rigorous quantitative research.

Every quantitative researcher knows the paralysis: the right dataset, the wrong test chosen, the output that might mean one thing or three. *AI+ for Quantitative Research & Statistics* uses the SIGMA Protocol — Specify, Instrument, Gauge, Model, Articulate — to move researchers from research question to publication-ready write-up with AI as a design critic, code writer, and reporting partner at every stage. Covers research design, measurement, inferential testing, regression, survey analysis, assumption checking, and APA-format reporting. Built by an AI engineering firm for researchers who want confident, rigorous quantitative practice — not shortcuts around the statistics.

Tier

Tier 3 · Job Skills

Category

Research & Media

Format

Guide

Updated

Q2 2026

Read full bookSee in 4 bundles

Inside

The SIGMA Protocol — 5-stage AI-augmented research workflow from hypothesis to publishable write-up
Statistical Test Selection Matrix — choose the right test for any design, every time, with confidence
25+ copy-ready AI prompts across study design, EDA, test interpretation, regression, and APA reporting
Complete assumption-checking protocols for t-tests, ANOVA, correlation, and multiple regression
A 90-day plan for building a sustainable, rigorous quantitative research practice with AI

Who this is for

Postgraduate students, academic researchers, and applied researchers in social science, health sciences, education, economics, and psychology who need to design, conduct, and report quantitative studies — and want AI to help them work faster and more confidently

Also for:Policy analysts, market research professionals, and industry researchers who apply quantitative methods; PhD supervisors and research methods educators looking for a practical AI companion to standard statistics texts

You’ll be able to

Design a quantitative research study with testable hypotheses and appropriate sampling strategy, using AI to strengthen conceptual clarity and identify design weaknesses
Collect and prepare quantitative data for analysis, using AI to assist with data cleaning, coding, and assumption-checking
Apply descriptive and inferential statistical methods appropriate to research design and data type, interpreting results accurately
Conduct regression and correlational analyses and interpret effect sizes and confidence intervals in professional research contexts
Write up quantitative methods and results sections to publishable standard, using AI to structure, draft, and refine reports

What’s inside

Diagnostic: How quantitatively ready are you?
Chapter 1: AI in Quantitative Research Right Now
Chapter 2: Research Design and Hypothesis Formulation
Chapter 3: Measurement, Scales, and Data Collection
Chapter 4: Descriptive Statistics and Exploratory Data Analysis
Chapter 5: Inferential Statistics
Chapter 6: Regression Analysis and Predictive Modelling
Chapter 7: Survey Data Analysis and Questionnaire Research
Chapter 8: Checking Assumptions and Ensuring Validity
Chapter 9: Reporting Quantitative Findings
Chapter 10: Building Your Quantitative Research Practice
Back matter: Skill Summary · Recommended Next Reads · Glossary · Tool Reference

Built by an AI engineering firm — for researchers who want rigour without anxiety, and confidence without shortcuts.

Appears in 4 bundles

ROL-03The Researcher's AI Pack SKL-02The AI Research Pack SKL-04The AI Data & Reporting Pack STU-02The Postgraduate & Research Pack

Reads well with

Often packaged with this title.