Spss Analysis And Interpretation Simplified

Practical SPSS training for data analysis, dissertations, and projects

What you'll learn

Navigate the SPSS interface and manage datasets efficiently.

Perform descriptive and inferential statistical analyses.

Conduct hypothesis testing using t-tests, ANOVA, correlation, and regression.

Interpret SPSS output tables and charts for academic or professional reporting.

Use SPSS for survey research, social science data, and dissertation projects.

Requirements

This course starts from the basics and gradually moves to advanced analysis.

Description

Are you struggling with statistical analysis for your assignments, projects, or research? Do you want to learn SPSS step by step, even if you have no prior experience with statistics software? This course is designed to take you from the basics of SPSS all the way to performing advanced data analysis with confidence.In this course, you will learn how to navigate the SPSS interface, enter and manage data, and perform essential statistical tests. We will cover descriptive statistics, t-tests, ANOVA, correlation, regression, chi-square tests, and more. You will also learn how to create professional charts, interpret SPSS outputs, and report your findings in APA 7 style, which is especially useful for academic writing and dissertations.Through hands-on demonstrations and real-world datasets, you will gain practical skills that can be directly applied to your studies, research, or professional work. Each module includes clear explanations, practice exercises, and downloadable resources to support your learning.By the end of this course, you will be able to confidently use SPSS for data analysis, understand statistical results, and present your findings in a professional and academic manner.Whether you are a student, researcher, or professional, this course will help you unlock the power of SPSS and make data analysis simple, practical, and effective. Enroll today and start mastering SPSS with step-by-step guidance!

Overview

Section 1: Introduction

Lecture 1 Introduction to Instructor

Lecture 2 Introduction to the course

Lecture 3 What you'll be learning

Section 2: Reliability and Normality

Lecture 4 Reliability

Lecture 5 Normality

Lecture 6 Q-Q Plots

Section 3: Importing data and Descriptive statistics

Lecture 7 Importing data to SPSS

Lecture 8 Defining the variables in the variable view

Lecture 9 Descriptive statistics

Section 4: Parametric Test

Lecture 10 Correlation and its interpretation

Lecture 11 Simple liner regression and interpretation

Lecture 12 Multiple liner regression and interpretation

Lecture 13 One sample t-test and interpretation

Lecture 14 Independent sample t-test and interpretation

Lecture 15 Paired sample t-test and interpretation

Lecture 16 One way ANOVA and interpretation

Lecture 17 Two way ANOVA and interpretation

Section 5: Non Parametric test

Lecture 18 Spearman's Correlation

Lecture 19 Chi square

Lecture 20 Mann Whitney U test

Lecture 21 Wilcoxon signed rank test and interpretation

Lecture 22 Kruskal-wallis test and interpretation

Undergraduate and Postgraduate Students,Research Scholars,Professionals in Social Sciences, Psychology, Education, Business, or Health,Anyone New to Data Analysis