Qualitative Research in SPSS: Full Bachelor's Thesis

Name: Qualitative Research in SPSS: Full Bachelor's Thesis
Rating: 5.0 (2 reviews)

Master: Qualitative Research in SPSS - Beginner Tutorial, Logistic Regression, Dimension Reduction Methods

Created byMatei Catana

Last updated 12/2024

English

What you'll learn

Understanding Logistic Regression: Students will learn the fundamentals of logistic regression and how to apply it using SPSS.
Qualitative Data Analysis Techniques: Learners will explore various methods for analyzing qualitative data.
Analyzing Relationships Between Variables: The course will teach students how to examine and interpret the relationships between different variables-categories.
Creating a Thesis Model: Students will be guided through the process of creating a model for their thesis. How to conduct the bachelor degree final project.

Course content

8 sections • 32 lectures • 3h 3m total length

Introduction2:07
Final Thesis Blueprint: What You’ll Achieve by the End of This Course1:51
Overview of This Course. What We Will Cover?3:17
Resources0:50
Access and download the course resources from the resources section, learn how to save each file, and get a preview of what each file represents in the next video.

Basic Theory5:48
Explaining the Database3:05
Key Elements of a Statistical Study: From Design to Analysis5:35
Plan and conduct a study by defining objectives, questions, relationships between dependent and independent variables. Select observational, experimental, longitudinal, cross-sectional approaches, collect data, analyze with statistical methods, and report implications.
Two Ways of Thinking3:21

Data Cleaning6:45
Creating A New Variable2:50
Excel to SPSS8:16
Labeling Variables0:29
From Numerical to Ordinal3:15
Transform numerical BMI into an ordinal category in SPSS using recode into different variables, assign WHO-based categories—malnutrition, normal weight, overweight, obesity—and set the measure to ordinal.
Recomandations Of Chi-Square2:11
Run chi square tests in SPSS to assess correlations between perceived health and each independent variable using Crosstabs, then compile a single table of results for your study.

Theory of Descriptive Analysis4:21
Creating Different Charts in SPSS6:01
Learn to create pie charts, bar charts, and histograms in SPSS for qualitative research, including selecting variables, adding data labels, titles, and colors.
Descriptive Analysis - Numerical Methods6:05
Creating Different Charts in Microsoft Excel16:19
Creating a Dashboard in Microsoft Excel13:52
Creating a Dashboard in Power BI10:01

Theory of Multiple Factor Correspondence4:11
Quick Fix for a Common Error in Multiple Correspondence Analysis (MCA)2:15
Recoding of The Variables10:31
Learn how to recode variables in SPSS using theory and correspondence analysis, including creating clusters, labeling categories, and preparing data for final analysis.
Multiple Correspondence Analysis9:32
Explore the practical use of multiple correspondence analysis in SPSS, interpret dimension reduction results, assess discrimination and multicollinearity, and visualize how dietary and socioeconomic variables relate to perceived health.
Merging Two Variables into One4:18

Requirements

No prior knowledge is required.
You just need to have a laptop or PC to follow along.
You need to have installed Microsoft Excel and IBM SPSS.

Description

Unlock the full potential of your bachelor's research with our comprehensive course, "Qualitative Analysis in SPSS: Logistic Regression Full Study." This course is meticulously designed to equip you with the essential skills and knowledge required to conduct in-depth qualitative data analysis using SPSS.

In this course, you will learn to:

Analyze Variables: Gain a thorough understanding of different types of variables and how to analyze them effectively.
Understand Correlations: Learn how to identify and interpret the relationships between variables, crucial for drawing meaningful conclusions from your data.
Master Logistic Regression: Delve into logistic regression analysis, a powerful statistical method for modeling the relationship between a dependent variable and one or more independent variables.
Dimension Reduction: Explore advanced techniques like Factorial Correspondence Analysis (FCA) and Multiple Correspondence Analysis (MCA) to simplify complex data sets and uncover hidden patterns.

By the end of this course, you will have a solid foundation in qualitative data analysis and be proficient in using SPSS to conduct sophisticated statistical analyses. Whether you are working on your bachelor's thesis or preparing for future research projects, this course will provide you with the tools and confidence to excel. Join us and transform your data into impactful insights! Yuhu!

Who this course is for:

Students and Academics
Beginner to Intermediate Statisticians
Lifelong Learners
Data Analysts and Researchers

Qualitative Research in SPSS: Full Bachelor's Thesis

What you'll learn

Explore related topics

Course content

Introduction4 lectures • 8min

Research Design: Outlining the Logical Framework for Analysis4 lectures • 18min

Getting Started: Preparing the Database for Analysis6 lectures • 24min

Descriptive Analysis6 lectures • 57min

Correspondence Factor Analysis (CFA)2 lectures • 18min

Multiple Correspondence Analysis (MCA)5 lectures • 31min

Logistic Regression: Binary Logistic4 lectures • 28min

Final Thesis File1 lecture • 1min

Requirements

Description

Who this course is for: