First paper statistics
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Description
Book Introduction
Without complicated formulas
From basic statistics to writing papers, it's easy.
This book takes an intuitive and practical approach for readers who find mathematics daunting.
It explains key concepts in easy language and guides you step-by-step through the analysis procedures essential to the research process.
Additionally, it is structured to systematically teach the entire process of data analysis, including statistical analysis practice using the SPSS program.
If you follow the steps step by step, from program installation to analysis results interpretation, you will soon have the basic statistical skills necessary for writing a thesis.
From basic statistics to writing papers, it's easy.
This book takes an intuitive and practical approach for readers who find mathematics daunting.
It explains key concepts in easy language and guides you step-by-step through the analysis procedures essential to the research process.
Additionally, it is structured to systematically teach the entire process of data analysis, including statistical analysis practice using the SPSS program.
If you follow the steps step by step, from program installation to analysis results interpretation, you will soon have the basic statistical skills necessary for writing a thesis.
- You can preview some of the book's contents.
Preview
index
〈PART 01.
Basic Statistics
Chapter 01.
Types and roles of variables
Classification of variables by role
Classification of variables by form
measure
Chapter 02.
Descriptive statistics
Central tendency value
A representative value that indicates the degree to which data is scattered
Chapter 03.
Statistics and graphs
Graph showing non-order qualitative variables
Graph showing quantitative variables
Chapter 04.
Principles of statistical hypothesis testing
Expression of null and alternative hypotheses
Type 1 and Type 2 errors
Chapter 05.
specimen
Key Terms for Understanding Sampling
Probability and non-probability sampling
Advantages and Disadvantages of Sampling
Things to keep in mind when conducting a sample survey
Chapter 06.
Correlation analysis
What is correlation?
Things to keep in mind when analyzing correlation coefficients
Chapter 07.
t-test
Statistically compare the means of two groups
Hypothesis testing procedure for t-test
Statistical significance and practical significance
Variance of t-test
Comparing the means of two correlated groups: Dependent-samples t-test
Chapter 08.
Analysis of variance (ANOVA)
Limitations of multi-group comparisons using t-tests
Principles and test procedures of analysis of variance (ANOVA)
Practical applications of ANOVA and post hoc testing
Chapter 09.
Two-way ANOVA
The concept and necessity of two-way analysis of variance
Extension of Two-Way ANOVA: Fixed and Random Effects
Chapter 10.
Regression analysis
History and Concepts of Regression Analysis
multiple regression analysis
Utilization of dummy variables
Logistic regression analysis
〈PART 02.
Statistical Analysis of thesis
Chapter 11.
How to write a thesis
Paper classification
Thesis Structure
Chapter 12. Opening SPSS
Installing SPSS
SPSS screen layout
Import Excel data
Two methods of SPSS analysis
Chapter 13.
Descriptive statistics
Download panel survey data
Analyzing descriptive statistics
Chapter 14.
Correlation analysis
Correlation analysis between ordinal scale variables
Correlation analysis between ratio-scale variables
Calculating the covariance matrix
finish
Chapter 15.
t-test
Independent samples t-test: comparing the means of two unrelated groups
Dependent Samples t-Test: Comparing the Means of Two Correlated Groups
finish
Chapter 16.
Analysis of variance (ANOVA)
One-way ANOVA
Two-way ANOVA
finish
Chapter 17.
Regression analysis
General regression analysis: when the independent variables consist only of continuous variables
Regression analysis with added dummy variables: When categorical variables are used as independent variables in regression analysis.
finish
[Appendix] SPSS Add-ons
Basic Statistics
Chapter 01.
Types and roles of variables
Classification of variables by role
Classification of variables by form
measure
Chapter 02.
Descriptive statistics
Central tendency value
A representative value that indicates the degree to which data is scattered
Chapter 03.
Statistics and graphs
Graph showing non-order qualitative variables
Graph showing quantitative variables
Chapter 04.
Principles of statistical hypothesis testing
Expression of null and alternative hypotheses
Type 1 and Type 2 errors
Chapter 05.
specimen
Key Terms for Understanding Sampling
Probability and non-probability sampling
Advantages and Disadvantages of Sampling
Things to keep in mind when conducting a sample survey
Chapter 06.
Correlation analysis
What is correlation?
Things to keep in mind when analyzing correlation coefficients
Chapter 07.
t-test
Statistically compare the means of two groups
Hypothesis testing procedure for t-test
Statistical significance and practical significance
Variance of t-test
Comparing the means of two correlated groups: Dependent-samples t-test
Chapter 08.
Analysis of variance (ANOVA)
Limitations of multi-group comparisons using t-tests
Principles and test procedures of analysis of variance (ANOVA)
Practical applications of ANOVA and post hoc testing
Chapter 09.
Two-way ANOVA
The concept and necessity of two-way analysis of variance
Extension of Two-Way ANOVA: Fixed and Random Effects
Chapter 10.
Regression analysis
History and Concepts of Regression Analysis
multiple regression analysis
Utilization of dummy variables
Logistic regression analysis
〈PART 02.
Statistical Analysis of thesis
Chapter 11.
How to write a thesis
Paper classification
Thesis Structure
Chapter 12. Opening SPSS
Installing SPSS
SPSS screen layout
Import Excel data
Two methods of SPSS analysis
Chapter 13.
Descriptive statistics
Download panel survey data
Analyzing descriptive statistics
Chapter 14.
Correlation analysis
Correlation analysis between ordinal scale variables
Correlation analysis between ratio-scale variables
Calculating the covariance matrix
finish
Chapter 15.
t-test
Independent samples t-test: comparing the means of two unrelated groups
Dependent Samples t-Test: Comparing the Means of Two Correlated Groups
finish
Chapter 16.
Analysis of variance (ANOVA)
One-way ANOVA
Two-way ANOVA
finish
Chapter 17.
Regression analysis
General regression analysis: when the independent variables consist only of continuous variables
Regression analysis with added dummy variables: When categorical variables are used as independent variables in regression analysis.
finish
[Appendix] SPSS Add-ons
Detailed image
Publisher's Review
To you who are afraid of statistics
This book is largely divided into two parts.
The first part covers the basic statistical concepts essential for writing a thesis, and the second part is a practical part that analyzes actual data using the SPSS program.
By the end of this book, you will have the fundamental skills needed to analyze and interpret research data using SPSS.
You will also gradually gain confidence in handling data.
Statistics are a tool for research, not an obstacle.
I hope this book will serve as a guide to help you become more familiar with statistics and use them effectively in your research.
(From the author's preface)
This book is largely divided into two parts.
The first part covers the basic statistical concepts essential for writing a thesis, and the second part is a practical part that analyzes actual data using the SPSS program.
By the end of this book, you will have the fundamental skills needed to analyze and interpret research data using SPSS.
You will also gradually gain confidence in handling data.
Statistics are a tool for research, not an obstacle.
I hope this book will serve as a guide to help you become more familiar with statistics and use them effectively in your research.
(From the author's preface)
GOODS SPECIFICS
- Date of issue: March 4, 2025
- Page count, weight, size: 276 pages | 409g | 153*223*11mm
- ISBN13: 9791173400186
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