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Summary SPSS Visual Walkthrough | Step-by-Step Statistics & Data Analysis Guide

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A visual step-by-step SPSS walkthrough designed for university students working with statistics and data analysis. This guide helps students navigate SPSS more easily and understand the key steps involved in statistical analysis. Ideal for thesis, dissertation and research projects, as well as students who are new to SPSS and want a clear, practical reference while analysing their data.

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STUDENTSTATSLAB



Visual SPSS Walkthrough
Click-by-click practice using the included synthetic thesis dataset



HOW TO USE THIS GUIDE

Open the practice CSV in SPSS and reproduce each workflow. The dialog boxes below are educational
reconstructions, not screenshots of IBM SPSS Statistics.




Lamprou Maritina
Statistics • SPSS • Research Data Analysis

, STUDENTSTATSLAB | VISUAL SPSS WALKTHROUGH




1. Import the Practice CSV
STEP 1

Open SPSS. Choose File → Open → Data. Select the included SPSS_Thesis_Practice_Dataset.csv file.

STEP 2

Use the text/CSV import options to confirm that the first row contains variable names and that the columns are
separated correctly.

STEP 3

After import, inspect Data View and Variable View. Compare variable names and measurement roles with the
supplied codebook.

Variable View - teaching reconstruction

Variables Name / Label / Values / Missing / Measure
■ Gender Check categorical value labels.
■ Age Confirm numeric variables imported as numeric.
■ Study_Year
■ Study_Hours_Week
■ Stress_1to5
■ Sleep_Hours
■ Exam_Score
■ Passed
■ Group

OK Paste Reset Cancel Help



CHECK BEFORE ANALYSIS

Make sure Exam_Score and Study_Hours_Week are numeric, while Group and Passed are treated as
categorical variables. Do not continue if imported values or labels look wrong.




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August 31, 2026
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2025/2026
Type
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