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Description
Book Introduction
For beginning researchers just starting out in research, statistics can seem unfamiliar and difficult.
Complex formulas and unfamiliar tools can feel like walls of research.
However, this is not a stumbling block, but a gateway to a new world of learning.
Alice, too, initially viewed statistics as simply a data organization technique.
However, as I conducted research and wrote academic papers, I realized that statistics is a core discipline that establishes scientific validity.
I also learned that the statistical tools used by researchers are much more diverse than just SPSS, SmartPLS, and R, and that each has different purposes and functions.
The key is not to simply follow widely used tools, but to strategically select them based on your research questions and data characteristics.
By doing so, research expands more creatively and the interpretation of research results becomes more persuasive.
Statistical tools can be unfamiliar and intimidating at first.
However, anyone can learn it if they have a little curiosity and a willingness to practice consistently.
I hope that this book will spark new curiosity about research statistical analysis and serve as an opportunity to expand analytical methods.
Statistical analysis is not a cold language of numbers, but rather a key that opens the door to research.
Complex formulas and unfamiliar tools can feel like walls of research.
However, this is not a stumbling block, but a gateway to a new world of learning.
Alice, too, initially viewed statistics as simply a data organization technique.
However, as I conducted research and wrote academic papers, I realized that statistics is a core discipline that establishes scientific validity.
I also learned that the statistical tools used by researchers are much more diverse than just SPSS, SmartPLS, and R, and that each has different purposes and functions.
The key is not to simply follow widely used tools, but to strategically select them based on your research questions and data characteristics.
By doing so, research expands more creatively and the interpretation of research results becomes more persuasive.
Statistical tools can be unfamiliar and intimidating at first.
However, anyone can learn it if they have a little curiosity and a willingness to practice consistently.
I hope that this book will spark new curiosity about research statistical analysis and serve as an opportunity to expand analytical methods.
Statistical analysis is not a cold language of numbers, but rather a key that opens the door to research.
index
CHAPTER 1 Wisdom from Theory: Theoretical Research
Starting with theory
What is a theoretical research paper?
Theory of Reading Humans
Motivation-Opportunity-Ability (MOA) Theory
Theory of Reasoned Action (TRA)
Cognitive Evaluation Theory (CET)
Resource Dependence Theory (RDT)
SOR (stimulus-organism-response) theory
Expectation Disconfirmation Theory (EDT)
Normative Activation Model (NAM), Value-Attitude-Behavior (VAB) Model
Early trust theory
Trust transfer theory, perceived value theory
Trust transfer theory
Value-Based Acceptance Model (VAM), Health Belief Model (HBM)
SERVQUAL-Kano Integrated Model
Self-Determination Theory (SDT), Extended Theory of Planned Behavior (ETPB)
Theory of Planned Behavior (TPB)
ERG theory, Extended Theory of Planned Behavior (ETPB) model
Big-Five Personality Model
Protection Motivation Theory (PMT), Coping Theory (CT)
ARCS Motivation Theory, MVP Theory
Value-Belief-Norm (VBN) Model
Experience Economy Theory (4Es)
Construal Level Theory (CLT)
Social Identity Theory (SIT), Social Cognitive Theory (SCT)
Means-End Chain (MEC) theory, leadership methodology
Organization-Public Communication (OPDC) model, Storytelling (AAA) model
Decision-making theory, normative decision-making theory
Kano Model
The meeting of technology and theory
Technology Readiness and Acceptance Model (TRAM) and Technology Paradox Theory (TPT)
Technology Readiness and Acceptance Model (TRAM)
Diffusion of Innovation Theory (DIT), Activity Theory (AT)
Technology Acceptance Model (TAM), Late Adoption Model (PAM)
Technology Acceptance Model (TAM), Diffusion of Innovation Theory (IDT)
Extended Technology Acceptance Model (ETAM)
Integration of Acceptance and Use of Technology (UTAUT) and Perceived Risk Theory (PRT)
Unified Technology Acceptance Theory (UTAUT)
Extended Unified Technology Acceptance Theory (UTAUT2)
Technology-Organization-Environment (TOE) and Information Systems Success Model (ISSM)
Value-Based Acceptance Model (VAM), Expectation Matching Model (ECM)
Deterrence theory (DT), rational choice theory (RCT)
Expectation-fulfilling model
PPM Model
Socio-technical systems theory, trust-risk model, SOR theory
CHAPTER 2: Studying Citizen Information: Research on the Use of Public Data
Definition of public data
Research data management and openness
Portal status by type
Natural science research using public data
Korea Meteorological Administration
Marine weather information
earthquake
solar power
forest disaster
Sustainable Urban Research with Public Data
dwelling
urban space
public facilities
Neighborhood living facilities
Abandoned mine area
Public Data and Transportation Research
Road policy
Transportation-deprived areas
traffic accident
Marine accident
shared bicycles
Health Research Using Public Data
Opt-out system
Inequality in healthcare utilization
Health and medical resources
public hospital
Australian Health and Welfare
Public data-based welfare research
Specialized self-reliance project for the homeless
Support for single-parent families
Accessibility to community resources
Resident space welfare
Life satisfaction of middle-aged and older adults
Realization of social welfare rights
CHAPTER 3: Finding Hidden Insights: Data Visualization Research
Definition and Purpose of Data Visualization
Choosing the right expression
Visualization that shows data at a glance
Data visualization
Usability Study of Visualization by Data Type
Data processing and visualization methods
Data Visualization Trend Analysis
Preference distribution analysis
Current Data Visualization Analysis
Proposed classification system process
Finding the hierarchy
Research trend analysis
Big Data and Visualization
Visualization method
Cognitive analysis
Issue Analysis
Network analysis
Expression studies
Article Analysis
Keyword analysis
Influencing factor analysis
Text Mining and Visualization
Development direction
Research trend analysis
Research trend analysis
Suggestions for response direction
social awareness
Comparative analysis
Cognitive analysis
Modeling Analysis
Machine Learning and Visualization
Exploring influencing factors
Classification of types
factor analysis
Research on prediction
Demand forecasting
Departure prediction
Predictive research
Compressive strength estimation
CHAPTER 4 Tools for Unraveling Statistics: Data Analysis Tools
Data extraction, collection, and analysis tools
BIGkinds
Black Kiwi
Google Spreadsheet
Google Trends4
Keyzard
KOMORAN
ListeningMind Hubble
Naver Data Lab
NodeXL Pro
Python Web Crawling
Signal Lab
Syncly
Sometrend
TAGS (Twitter Archiving Google Sheet)
Textom
X
Data analysis and visualization tools
AMOS
ArcGIS Pro
Atlas.ti
DataIN
DOMO
Gephi
Jamovi
JASP
MATLAB
Matplotlib
NetMiner
Orange Data Mining
Power BI
Python
Qlik Sense
R
Redash
SAP
SAS
Smart PLS
SPSS
Stata
Tableau
UCINET
Word Cloud
Data analysis and prediction tools
SHAP
TensorFlow
WiseProphet
Starting with theory
What is a theoretical research paper?
Theory of Reading Humans
Motivation-Opportunity-Ability (MOA) Theory
Theory of Reasoned Action (TRA)
Cognitive Evaluation Theory (CET)
Resource Dependence Theory (RDT)
SOR (stimulus-organism-response) theory
Expectation Disconfirmation Theory (EDT)
Normative Activation Model (NAM), Value-Attitude-Behavior (VAB) Model
Early trust theory
Trust transfer theory, perceived value theory
Trust transfer theory
Value-Based Acceptance Model (VAM), Health Belief Model (HBM)
SERVQUAL-Kano Integrated Model
Self-Determination Theory (SDT), Extended Theory of Planned Behavior (ETPB)
Theory of Planned Behavior (TPB)
ERG theory, Extended Theory of Planned Behavior (ETPB) model
Big-Five Personality Model
Protection Motivation Theory (PMT), Coping Theory (CT)
ARCS Motivation Theory, MVP Theory
Value-Belief-Norm (VBN) Model
Experience Economy Theory (4Es)
Construal Level Theory (CLT)
Social Identity Theory (SIT), Social Cognitive Theory (SCT)
Means-End Chain (MEC) theory, leadership methodology
Organization-Public Communication (OPDC) model, Storytelling (AAA) model
Decision-making theory, normative decision-making theory
Kano Model
The meeting of technology and theory
Technology Readiness and Acceptance Model (TRAM) and Technology Paradox Theory (TPT)
Technology Readiness and Acceptance Model (TRAM)
Diffusion of Innovation Theory (DIT), Activity Theory (AT)
Technology Acceptance Model (TAM), Late Adoption Model (PAM)
Technology Acceptance Model (TAM), Diffusion of Innovation Theory (IDT)
Extended Technology Acceptance Model (ETAM)
Integration of Acceptance and Use of Technology (UTAUT) and Perceived Risk Theory (PRT)
Unified Technology Acceptance Theory (UTAUT)
Extended Unified Technology Acceptance Theory (UTAUT2)
Technology-Organization-Environment (TOE) and Information Systems Success Model (ISSM)
Value-Based Acceptance Model (VAM), Expectation Matching Model (ECM)
Deterrence theory (DT), rational choice theory (RCT)
Expectation-fulfilling model
PPM Model
Socio-technical systems theory, trust-risk model, SOR theory
CHAPTER 2: Studying Citizen Information: Research on the Use of Public Data
Definition of public data
Research data management and openness
Portal status by type
Natural science research using public data
Korea Meteorological Administration
Marine weather information
earthquake
solar power
forest disaster
Sustainable Urban Research with Public Data
dwelling
urban space
public facilities
Neighborhood living facilities
Abandoned mine area
Public Data and Transportation Research
Road policy
Transportation-deprived areas
traffic accident
Marine accident
shared bicycles
Health Research Using Public Data
Opt-out system
Inequality in healthcare utilization
Health and medical resources
public hospital
Australian Health and Welfare
Public data-based welfare research
Specialized self-reliance project for the homeless
Support for single-parent families
Accessibility to community resources
Resident space welfare
Life satisfaction of middle-aged and older adults
Realization of social welfare rights
CHAPTER 3: Finding Hidden Insights: Data Visualization Research
Definition and Purpose of Data Visualization
Choosing the right expression
Visualization that shows data at a glance
Data visualization
Usability Study of Visualization by Data Type
Data processing and visualization methods
Data Visualization Trend Analysis
Preference distribution analysis
Current Data Visualization Analysis
Proposed classification system process
Finding the hierarchy
Research trend analysis
Big Data and Visualization
Visualization method
Cognitive analysis
Issue Analysis
Network analysis
Expression studies
Article Analysis
Keyword analysis
Influencing factor analysis
Text Mining and Visualization
Development direction
Research trend analysis
Research trend analysis
Suggestions for response direction
social awareness
Comparative analysis
Cognitive analysis
Modeling Analysis
Machine Learning and Visualization
Exploring influencing factors
Classification of types
factor analysis
Research on prediction
Demand forecasting
Departure prediction
Predictive research
Compressive strength estimation
CHAPTER 4 Tools for Unraveling Statistics: Data Analysis Tools
Data extraction, collection, and analysis tools
BIGkinds
Black Kiwi
Google Spreadsheet
Google Trends4
Keyzard
KOMORAN
ListeningMind Hubble
Naver Data Lab
NodeXL Pro
Python Web Crawling
Signal Lab
Syncly
Sometrend
TAGS (Twitter Archiving Google Sheet)
Textom
X
Data analysis and visualization tools
AMOS
ArcGIS Pro
Atlas.ti
DataIN
DOMO
Gephi
Jamovi
JASP
MATLAB
Matplotlib
NetMiner
Orange Data Mining
Power BI
Python
Qlik Sense
R
Redash
SAP
SAS
Smart PLS
SPSS
Stata
Tableau
UCINET
Word Cloud
Data analysis and prediction tools
SHAP
TensorFlow
WiseProphet
GOODS SPECIFICS
- Date of issue: October 20, 2025
- Page count, weight, size: 258 pages | 190*240*20mm
- ISBN13: 9791194641544
- ISBN10: 1194641547
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