Data Presentation with SPSS Explained provides students with all the information they need to conduct small scale analysis of research projects using SPSS and present their results appropriately in their reports. Quantitative data can be collected in the form of a questionnaire, survey or experimental study.
This book focuses on presenting this data clearly, in the form of tables and graphs, along with creating basic summary statistics. Data Presentation with SPSS Explained uses an example survey that is clearly explained step-by-step throughout the book. This allows readers to follow the procedures, and easily apply each step in the process to their own research and findings.
No prior knowledge of statistics or SPSS is assumed, and everything in the book is carefully explained in a helpful and user-friendly way using worked examples. This book is the perfect companion for students from a range of disciplines including psychology, business, communication, education, health, humanities, marketing and nursing – many of whom are unaware that this extremely helpful program is available at their institution for their use.
| Core Structural Concept |
SPSS Data Presentation Principle |
Academic Target & Application |
| Output Parsing & Extraction |
Focuses on scanning raw SPSS viewer outputs, isolating crucial statistical variables, interpreting key text files, and pulling correct values from dense software tables. |
Students: Learn to look past confusing software printouts and confidently pinpoint necessary data points for their assignments. |
| APA-Style Table Formatting |
Deploys clear, step-by-step styling rules to convert raw computer-generated data blocks into polished, publication-ready tables that match current APA style rules. |
Teachers: Secure exact technical guides to help structure thesis formatting labs and evaluate graduate portfolio writing. |
| Advanced Chart Customization |
Maps out targeted workflows for building and editing bar charts, scatterplots, and histograms inside SPSS, adjusting axis lines, labels, and visual clarity fields. |
Students: Cultivate robust data visualization skills, transforming messy raw variables into highly engaging visual evidence. |
| Narrative Data Reporting |
Breaks down the written side of statistics, training users on how to describe descriptive and inferential test results cleanly inside a research text or paper. |
Teachers & Tutors: Access clear writing templates to help social science students build professional, articulate research reports. |
| Multi-Duration License Options |
Features adaptive provisioning paths across 180-day shortcuts, 365-day full-year access blocks, and permanent perpetual runtime digital configurations. |
Administrators: Aligns software library costs precisely with varying course lengths, single terms, or long-term school resources. |
Please Note: This is a digital eBook. You will receive instant access after purchase. No physical book will be shipped.
