In content analysis, at least two coders are required to perform coding work. These independent coders analyze the same piece of information or recorded content (the unit of analysis) and aim for consistency and validity. This consistency is presented in a quantified manner, which is called “inter-coder reliability”. This platform uses Holsti’s Coefficient Reliability as an indicator to calculate the reliability of coders. It is recommended that coders participate in the inter-coder reliability test. The Reliability Test section is further divided into: “Coding test”, “Reliability calculation” and “Coding tracking”.
DiVoMiner® User Manual
- Preface
- Quick start
- Online content analysis
- Overview
- Data management
- Data exploration
- Codebook
- Reliability test
- Coding
- Coding performance
- Quality monitoring
- Coding result
- Statistical analysis
- Sharing a folder
- Chart library
- Chart editing interface
- Statistics module
- Descriptive statistics
- Relevance measurement
- Chi-square
- Unary regression analysis
- Granger causality
- Chart type
- Table
- Two-dimensional table
- Histogram
- Stacked graph
- Percentage stacked chart
- Bar graph
- Bar stacked chart
- Bar percentage stacked chart
- Line chart
- Area chart
- Area stacked map
- Percentage area stacked chart
- Biaxial Chart
- Pie chart
- Word cloud map
- Radar chart
- Scatter chart
- Heat map
- Sankey diagram
- Chart general setting
- Advanced statistics
- Normality test
- Create a new normality test task
- t-Test
- Create a new t-Test task
- One-way analysis of variance
- Create a new One-way analysis of variance task
- Multi-factor analysis of variance
- Create a new multi-factor analysis of variance
- Linear regression
- Create a new linear regression analysis task
- Binary logistic regression
- Create a new binary logarithmic regression analysis task
- K-Means clustering (numeric)
- Create a new K-Means clustering (numeric) task
- Reliability analysis
- Create a new reliability analysis task
- Validity analysis
- Create a new validity analysis task
- Multiple-choice analysis
- Create a new multiple-choice analysis task
- Algorithm mining
- Sentiment analysis (positive and negative)
- Create a sentiment analysis (positive and negative) task
- Sentiment analysis (emotion classification)
- Create a sentiment analysis (emotion classification) task
- K-Means
- Create a K-Means task
- Topic model (LDA)
- Create a topic model (LDA) task
- Similarity analysis
- Create a similarity analysis task
- Semantic network analysis
- Create a semantic network analysis task
- Social network analysis
- Create a social network analysis task
- Algorithm & model computing resources fees
- Language identification
- Purchase algorithm quota
- Creating a new language identification task
- Tools
- Project setting
- Home
- Docs
- DiVoMiner® User Manual
- Reliability test