Basic SPSS Tutorial – Manfred te Grotenhuis & Anneke Matthijssen

SPSS — Statistical Package for the Social Sciences — is the most widely used data analysis software in universities, research institutions, NGOs, government agencies, and healthcare organisations across Kenya and the world. It is used to analyse survey data, research findings, clinical results, economic indicators, and social science research of every kind. And for every Kenyan student or professional who needs to use it, the same challenge presents itself: where do you learn it properly, practically, and without a statistics degree as a prerequisite?

Basic SPSS Tutorial by Manfred te Grotenhuis and Anneke Matthijssen answers that challenge completely — delivering the most accessible, most clearly structured, and most practically useful introduction to SPSS available anywhere, at a price point that every Kenyan student and researcher can afford.

What This Book Covers:

Getting Started with SPSS:

• How to navigate the SPSS interface — the Data View, Variable View, and Output windows explained clearly from the beginning
• How to enter data directly into SPSS and how to import data from Excel, CSV, and other formats
• How to define variables correctly — naming, labelling, setting measurement levels, and handling missing values
• How to save, open, and manage SPSS data files
• Understanding the SPSS syntax window — what it is, when to use it, and how it makes your analysis reproducible

Data Management:

• How to recode variables — transforming raw data into the categories your analysis requires
• How to compute new variables from existing ones — creating composite scores, indices, and calculated fields
• How to select cases for analysis — filtering your dataset to focus on specific subgroups
• How to sort and merge datasets — combining data from multiple sources for comprehensive analysis
• How to handle missing data — the specific SPSS options for managing incomplete datasets responsibly

Descriptive Statistics:

• Frequencies — producing and interpreting frequency tables for categorical variables
• Descriptives — means, standard deviations, minimums, maximums, and other summary statistics for continuous variables
• Explore — the comprehensive descriptive analysis tool for understanding your data’s distribution
• Cross-tabulations — examining the relationship between two categorical variables with chi-square tests
• How to read and interpret SPSS output — understanding exactly what each table and statistic means

Charts and Data Visualisation:

• How to produce bar charts, histograms, pie charts, and scatter plots in SPSS
• How to edit and format SPSS charts for professional presentation in reports and dissertations
• How to export charts for use in Word, PowerPoint, and research papers

Inferential Statistics:

• The Independent Samples t-test — comparing means between two groups
• The Paired Samples t-test — comparing measurements taken from the same group at two different times
• One-Way ANOVA — comparing means across three or more groups
• Correlation — measuring the strength and direction of relationships between continuous variables
• Linear Regression — predicting outcomes from one or more predictor variables
• How to interpret significance levels, confidence intervals, and effect sizes in SPSS output

Reporting SPSS Results:

• How to present SPSS output in academic papers, research reports, and dissertations according to APA and other standard formats
• How to copy SPSS tables into Word documents correctly
• How to write up statistical findings in clear, accurate, non-technical language
• Common statistical reporting mistakes and how to avoid them

Who This Book Is For:

• University students across Kenya conducting research for dissertations, theses, and coursework in social sciences, health sciences, education, economics, and business
• Masters and PhD students who need to analyse quantitative data and have limited prior SPSS experience
• Healthcare researchers and clinical officers conducting patient data analysis and clinical audits
• NGO monitoring and evaluation staff who need to analyse survey and programme data
• Government researchers and policy analysts working with census, survey, and administrative data
• Lecturers and research supervisors who want a clear, practical resource to recommend to their students
• Any professional who has been handed a dataset and told to “run it through SPSS” — and needs to know exactly what that means and how to do it

Why Kenyan Researchers Are Buying This Book: SPSS is required or strongly recommended in research methodology courses across the University of Nairobi, Kenyatta University, Moi University, JKUAT, Strathmore, and virtually every other Kenyan university. Yet accessing quality SPSS training materials has historically been expensive and difficult — imported textbooks cost thousands of shillings, and online courses require reliable internet and subscription fees. At Ksh 100, Basic SPSS Tutorial puts the most accessible SPSS guide available directly into the hands of every Kenyan researcher and student who needs it.

Book Details:

• 📖 Authors: Manfred te Grotenhuis & Anneke Matthijssen
• 📄 Format: PDF eBook (instant download via WhatsApp or email)
• 💰 Price: Ksh 100 only
• 🚀 Delivery: Instant after M-Pesa payment confirmation

👉 Order now on cliffmatt.co.ke — Pay via M-Pesa, receive your PDF instantly.