SPSS Syntax for Biostatistics and Statistical Modeling

Name: SPSS Syntax for Biostatistics and Statistical Modeling
Rating: 4.3 (11 reviews)

Learn Biostatistical Analysis and Statistical Modeling in SPSS Using Menus and Syntax Step by Step

Created byMd Ahshanul Haque

Last updated 3/2026

English

English [Auto],

What you'll learn

Beginners can easily learn data analysis in SPSS
Import data from external sources, such as Microsoft Excel.
Calculate and interpret descriptive statistics for both continuous and categorical variables.
Data analysis for a manuscript, report, or a Master's or Ph.D. thesis.

Course content

7 sections • 38 lectures • 5h 4m total length

Getting Started with SPSS7:12
Learn SPSS from scratch with this beginner-friendly course. Discover how to use SPSS for data analysis, descriptive statistics, and research projects. Perfect for students, researchers, and anyone new to SPSS.
Creating a Database in SPSS17:45
Now that you understand what SPSS is, it's time to get hands-on. In this lesson, you will learn the absolute first step of any data analysis project: creating your database.
We will cover:
Navigating between the Data View and Variable View.
Defining variables correctly (names, types, and labels).
Manually entering your own data into SPSS.
By the end of this video, you will have a solid foundation for building your own datasets.
Data Measurement | Nominal, Ordinal and Scales5:17
The nominal and ordinal scales are fundamental concepts in data measurement, each serving a distinct purpose in research and statistics. The nominal scale categorizes data into distinct groups without any specific order, such as gender or color. In contrast, the ordinal scale organizes data into ordered categories, where the order matters but the difference between them is not quantifiable, such as ranking preferences or class levels. This guide explores the differences, examples, and uses of these scales in various research and analytical contexts.
Measurement Levels & Recoding for shirt_color ?
An Introduction to SPSS Syntax14:24
Video: An Introduction to SPSS Syntax ✍️

In this video, we'll introduce you to one of the most powerful and often overlooked features of SPSS: syntax. While the menu bar is perfect for beginners, syntax is the secret to becoming an efficient, reproducible, and advanced SPSS user.
You'll learn:
What is a syntax file? Think of it as a script that records your commands.
Why should you use syntax? We'll cover the benefits of reproducibility, automation, and a clear audit trail of your work.
How to get started: We'll show you how to "paste" commands from the menu bar into a syntax file and run them, giving you the best of both worlds.

Import Data from Excel to SPSS7:25
Video 4: Import Data from Excel to SPSS ?
Most researchers collect their data in Excel first. In this essential video, you'll learn how to seamlessly import your existing data from an Excel spreadsheet directly into SPSS.
We will walk you through the entire process, including:
Selecting the correct file and navigating the import wizard.
Ensuring your variables and data are correctly recognized by SPSS.
Checking for common issues and making a clean import.
This video will save you a lot of time by showing you how to avoid manual data entry.
How to Import Data from a CSV File into SPSS2:54
Learn how to import CSV files into SPSS quickly and easily. This step-by-step SPSS tutorial is perfect for beginners who want to analyze survey data, research data, or Excel datasets in SPSS.
How to Import Data from a Stata File into SPSS2:17
Learn how to open and import Stata (.dta) files into SPSS for data analysis. This beginner-friendly SPSS tutorial helps students and researchers transfer datasets from Stata to SPSS step by step.
Define variable label in SPSS using syntax6:40
Define Value Labels for Categorical Variables in SPSS using Syntax9:14
In this video, you'll learn a crucial skill for making your data output readable and professional: defining value labels. We'll show you how to use the powerful VALUE LABELS syntax command to replace numerical codes (like 0 and 1) with descriptive labels (like "Non-stunted" and "Stunted"). Mastering this technique is essential for creating clear reports and ensures your analysis is easily understood by anyone reading your work.

How to Reorder variables in SPSS7:26
Learn how to reorder data in SPSS using sort functions. This step-by-step SPSS tutorial shows beginners how to organize variables and cases for clean and accurate data analysis.
Sorting Cases: Organizing Your Dataset by Row in SPSS2:55
In this video, you'll learn an essential skill for data management: sorting cases. This process allows you to reorder the rows of your dataset based on the values of one or more variables, which is incredibly useful for grouping cases, making your data easier to view, and preparing for specific types of analysis.
You'll discover how to sort your data using both:
The user-friendly menu bar's Data > Sort Cases function.
The efficient SORT CASES syntax command, which is a must-have for a reproducible workflow.

*------------------------------------------------------------Sort data

GET FILE='P:\MyCourse\spss\my_data.sav'.
DATASET NAME DataSet2 WINDOW=FRONT.

SORT CASES BY cage (A).
SORT CASES BY cage (D).

SORT CASES BY main_id (A).
Deleting & Keeping Variables in SPSS – Cleaning Your Dataset Step by Step2:59
Learn how to delete or keep specific variables in SPSS to clean your dataset effectively. This beginner-friendly tutorial guides you through organizing your data for accurate analysis and research.
Compute New Variable: Creating New Variables in SPSS15:06
In this video, you'll learn an essential skill for data management: computing new variables. We'll show you how to use both the user-friendly menu bar and the powerful COMPUTE syntax command to create new variables based on existing data. Whether you need to calculate a total score, find an average, or use a complex formula, this video will give you the tools you need
Recode Variables: Simplifying and Grouping Data in SPSS (Menu & Syntax)19:32
Recoding data is a fundamental skill for data cleaning and preparation. In this video, you'll learn how to transform your raw data into a more manageable and meaningful format. This is essential for tasks like grouping continuous variables (e.g., age) into categories or simplifying a large number of response options.
How to Recode Data in SPSS Using Logical Operators6:09
Learn how to recode variables in SPSS using logical operators and commands. This beginner-friendly tutorial helps you transform, categorize, and manage your dataset for accurate data analysis and research.
Categorical to Categorical Transformation in SPSS Using Logical Operators10:20
Learn how to transform categorical variables in SPSS using logical operators. This step-by-step tutorial helps beginners manage, recode, and analyze categorical data efficiently for research and projects.
How to Create Dummy Variables in SPSS (Applicable for SPSS upper version)5:20
Learn how to create dummy variables in SPSS for data analysis and regression modeling. This beginner-friendly tutorial guides you through coding categorical data into numeric format for accurate research results.
ow to Create Dummy Variables in SPSS – Works for All Versions10:49
Learn how to create dummy variables in SPSS, applicable to all versions. This beginner-friendly tutorial shows step-by-step how to convert categorical data into numeric format for regression analysis and accurate research results.
How to Merge Data or Add Variables in SPSS8:07
Learn how to merge datasets and add variables in SPSS for seamless data analysis. This beginner-friendly tutorial guides you through combining data files and managing variables efficiently for research and projects.
How to Append Data or Add Cases in SPSS4:03
Learn how to append datasets and add cases in SPSS for complete data analysis. This beginner-friendly tutorial shows step-by-step how to combine multiple data files for research and projects.

Creating Histograms in SPSS (Menu & Syntax)5:45
GET
FILE='P:\MyCourse\spss\my_data.sav'.
DATASET NAME DataSet2 WINDOW=FRONT.

DATASET ACTIVATE DataSet2.

GRAPH
/HISTOGRAM (NORMAL)=mH.

GRAPH
/HISTOGRAM(NORMAL)=mH
/PANEL ROWVAR=group ROWOP=CROSS.

GRAPH
/HISTOGRAM(NORMAL)=mH
/PANEL COLVAR=wealth COLOP=CROSS ROWVAR=group ROWOP=CROSS.

This is the perfect graph for visualizing the distribution of a single continuous variable and understanding its shape, such as whether it is normally distributed or skewed. We'll show you how to build a histogram using both the user-friendly menu bar and the efficient syntax command. By the end of this lesson, you'll be able to quickly gain insights into the characteristics of your data.
Visualize Your Data with Box Plots in SPSS8:44
Discover how to create box plots in SPSS to explore your data visually. Learn to identify medians, quartiles, and outliers for effective data analysis. Perfect for students and researchers new to SPSS.

Frequency Tables: Analyzing Categorical Data in SPSS ?4:27
Description: In this video, you'll master how to analyze and summarize a single categorical variable using frequency tables. You'll learn how to use both the user-friendly menu bar and the FREQUENCIES syntax command to quickly get a count of each category. This is an essential first step in understanding the distribution of your categorical data, such as gender, education level, or treatment group.
Mean, Standard Deviation, & Variance: Summarizing Continuous Data in SPSS ?3:49
In this video, you will learn how to compute and interpret the most important descriptive statistics for continuous variables: the mean, standard deviation, and variance. Using both the menu bar and the DESCRIPTIVES syntax command, you'll discover how to find the central tendency and dispersion of your data. This is a crucial step in understanding the basic characteristics of your continuous variables, such as age, weight, or income.
Calculate Mean and Standard Deviation in SPSS – Alternative Method1:43
Want to calculate mean and standard deviation in SPSS differently? This tutorial demonstrates an alternative method to compute key statistics for your data analysis.
Median & Quartiles: Measures of Position in SPSS ?2:39
In this video, you'll learn how to compute and interpret the median and quartiles. These are essential measures of position that give you a deeper understanding of your data's distribution, especially when it's skewed. We'll show you how to find these values using both the menu bar and the FREQUENCIES syntax command, a key skill for any professional data analyst.
Cross-Tabulation: Analyzing Relationships Between Categorical Variables ?4:23
In this video, you will learn how to use cross-tabulation (or a contingency table) to analyze the relationship between two or more categorical variables. This is an essential technique for exploring your data and is a critical first step before running tests like the Chi-Square test. We'll show you how to easily create and interpret a cross-tabulation table using both the menu bar and the CROSSTABS syntax command.
Summarize Data by Group in SPSS – Mean, SD, and Variance4:04
Easily summarize continuous variables in SPSS by group. Learn to calculate mean, standard deviation, and variance for research, surveys, or class projects with this beginner-friendly guide.
Making publication for manuscript from SPSS findings11:54
Easily create polished, publication-ready tables from SPSS findings. Learn how to format your data output for research papers, reports, or academic presentations in this beginner-friendly tutorial.

How to Perform a T-Test in SPSS?5:34
Want to compare means in SPSS? This video demonstrates step-by-step how to run both independent and paired t-tests and understand your results effectively.
SPSS ANOVA Made Easy – Analyze Differences Between Groups7:00
Quickly analyze group differences in SPSS using ANOVA. Learn how to run one-way and two-way ANOVA, interpret outputs, and present your results professionally for research or academic work.

Correlation in SPSS – Measure Relationships Between Variables5:33
Learn to measure relationships with correlation in SPSS by creating scatter plots, computing two-variable correlations, and interpreting significance before regression.
Linear Regression Predicting a Continuous Outcome in SPSS11:18
Want to predict outcomes in SPSS? This tutorial shows how to run linear regression, interpret coefficients, and understand R-squared for effective data analysis.
Linear Regression Diagnostics & Interpretation Validating Your Model's Findings12:24
Learn how to perform regression diagnostics in SPSS to validate your linear regression model. This tutorial guides beginners through checking assumptions, interpreting outputs, and ensuring reliable results.
SPSS Simple Logistic Regression Made Easy – Predict Binary Outcomes7:22
Easily analyze binary outcomes in SPSS with simple logistic regression. Learn to run the model, interpret outputs, and apply findings for research, surveys, or projects.
Logistic Regression Using Categorical Predictors in SPSS13:44
Easily perform logistic regression in SPSS with categorical predictors. Learn how to code, run, and interpret your model for research, surveys, or academic projects.
SPSS Logistic Regression Tables Made Easy – Ready for Publication23:23
Easily convert SPSS logistic regression results into polished, publication-ready tables. Learn how to organize, format, and present your findings for research papers and reports.
Interpretation of Odds Ratio (OR) from Logistic Regression4:20
In this lecture, you will learn how to interpret odds ratios (OR) from logistic regression output in SPSS. We will explain the meaning of unadjusted and adjusted odds ratios, how to identify the reference group, and how to interpret confidence intervals and p-values. Using a practical example, you will understand how to clearly explain results, especially in research and reports.

Requirements

No prior experience with SPSS or statistics is required
Access to the SPSS statistical software
A good mindset to have when learning SPSS

Description

Struggling with data analysis for your manuscript, report, or thesis? Feeling overwhelmed by statistical software? This course is your complete, beginner-friendly guide to mastering the fundamentals of data analysis using SPSS. We will take you on a practical journey from Data Entry and Data Analysis to Interpretation, empowering you to confidently manage your data and present your findings.

This course skips the complex jargon and focuses on a step-by-step, hands-on approach. By the end, you won't just know how to click buttons—you'll understand what you're doing and why you're doing it.

What you will learn in this course:

Navigate the SPSS interface with confidence and ease.
Enter and import your own data, and prepare it for analysis by defining variables and assigning labels.
Clean and manage your data, including handling missing values and computing new variables.
Run and interpret essential descriptive statistics such as frequencies, means, and standard deviations.
Create compelling charts and graphs to visualize your data for reports and presentations.
Perform and interpret key statistical tests like the independent-samples t-test and the chi-square test.
Draw meaningful conclusions from your results and effectively communicate your findings.

Who is this course for?

New Researchers in public health, marketing, or social sciences who need to analyze data for their studies and projects.
Master's or Ph.D. Students working on a thesis or dissertation who need to perform data analysis.
Professionals in various fields (e.g., social sciences, education, business) who need to analyze data from surveys, reports, or studies.

Are there any prerequisites?

No prior experience with SPSS or statistics is required.
Access to the SPSS statistical software.
You should have your research question and data collected and ready for analysis.

If you are a beginner looking to transform raw data into clear, compelling results for your academic or professional work, this is the course for you.

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Who this course is for:

New Researchers in public health, marketing, or social sciences who need to analyze data for their studies and projects.
Master's or Ph.D. Students who are working on a thesis or dissertation and need to perform data analysis for their research.
Professionals in various fields such as social sciences, health sciences, education, or business who need to analyze data from surveys, reports, or studies for their work.

SPSS Syntax for Biostatistics and Statistical Modeling

What you'll learn

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Course content

Introduction to SPSS4 lectures • 45min

SPSS Data Management | Part 1 - Data Import from Excel, CSV, Stata, Labelling5 lectures • 29min

SPSS Data Management | Part 2 - Variables keep, delete, arrange, Transformation11 lectures • 1hr 33min

Visualizing Your Data with Graphs2 lectures • 14min

Descriptive Statistics in SPSS ?7 lectures • 33min

Independent Samples T-Test and ANOVA2 lectures • 13min

Correlation and Regression in SPSS7 lectures • 1hr 18min

Requirements

Description

Who this course is for: