Spss Important Tests And Interpretation- A Practical Guide

Interpretation of SPSS Test, Manuscript-Dissertation Result Reporting, Inferential Statistics, Data Analytics

What you'll learn

SPSS Results Interpretation

Reporting Results in APA Format

Reporting Results in Manuscript and Dissertation

Step-wise Results Interpretation

Requirements

Understanding of Basic Mathematics

Basic of Statistics

Basic of Research Methods

Statistical Package for Social Sciences (SPSS)

Description

This course is aimed at individuals who are seeking to improve their statistical analysis skills, whether they are students, PhD candidates, academic researchers, or simply passionate about quantitative analysis. The course offers a unique approach to statistical analysis, going beyond just a basic tutorial on using SPSS. It provides a comprehensive, hands-on experience that delves into the underlying concepts and techniques of statistical analysis.The course will cover a range of statistical procedures and for each, you will receive a thorough description that helps you understand the purpose and application of the technique. The course also includes live demonstrations on how to perform each procedure in SPSS, with a focus on how to interpret the main output effectively. This will enable you to validate your research hypotheses and find the answers you need to support your research.This course is not just a tutorial on how to use SPSS; it provides a deep and practical understanding of statistical analysis. Whether you are looking to get a job in the field, enhance your academic research skills, or just broaden your knowledge and expertise, this course is designed to equip you with the skills and knowledge necessary for success in the field of statistical analysis.If you are seeking to improve your statistical analysis skills, this course is an excellent investment in your future. The hands-on approach, comprehensive coverage of statistical procedures, and emphasis on interpretation of results will help you achieve your goals and achieve success in the field of quantitative analysis.

Overview

Section 1: Course Introduction

Lecture 1 Instructor Introduction

Section 2: Statistic Basics

Lecture 2 Important Statistical Definitions

Lecture 3 Different Types of variables

Lecture 4 Mean, Mode. Median

Lecture 5 Measure of Central Tendency

Lecture 6 What is P-value?

Lecture 7 What is Probability

Lecture 8 What is Normal Distribution

Lecture 9 What is confidence Interval?

Lecture 10 Type-I and Type-II Error

Section 3: Important SPSS Tests and Interpretation

Lecture 11 Student T-Test

Lecture 12 ANOVA - Analysis of Variance

Lecture 13 Correlation Analysis

Lecture 14 Regression Analysis

Medical Students, Research Scholars, Students, Policy Makers, Teaching faculty, Academicians,Early Career Researchers, Professionals, Research Groups,PhD scholars and Graduate Students,Teachers, Practitioners, Policy Makers