1. Generalizability (Justin Cormier)
1.1. replications
1.1.1. verifications of results
1.2. Common characteristics
1.3. Deductive Inference
1.4. Applicability
2. Scientific Research
2.1. Case study
2.1.1. Knowledge accumulation
2.1.2. comparable subjects
2.1.2.1. Controlled subjects
2.1.3. cumulative knowledge
2.1.4. replication
2.1.4.1. INSIGHT
2.1.4.1.1. DEVELOPMENT
2.1.5. Intensive Research (MP)
2.2. Analyzing data (Park)
2.2.1. scholarly journals
2.2.1.1. accountability
2.2.2. Professional associations
2.2.3. Disciplinary journals
2.2.4. Professional journals
2.3. Summary and Conclusion
2.3.1. Recommendations based on data
2.3.2. Tables outlining basic conclusions
2.3.3. Issues for consideration for further studies
2.4. Questions and methods
2.4.1. Hypothesis
2.4.2. Variables
2.4.3. Theories (MP)
2.4.3.1. Past Research (MP)
2.5. Replications (Park)
2.5.1. Analyze (Park)
2.6. validated measure
2.6.1. Reliability
3. Standardization and Systemization (JC)
3.1. Trial and error (Park)
3.1.1. continuous evaluation (Park)
3.2. Evolve and develop
3.3. Overconventionalizing (JC)
3.3.1. mindless research recipes (JC)
3.3.1.1. Limiting scholarly orthodoxies (JC)
3.3.2. limiting
3.4. Underconventionalizing (JC)
3.4.1. intellectual fads (JC)
3.4.2. fragmentation (JC)
3.4.3. lack of continuity (JC)
3.5. Association
3.6. Asessments
3.7. Standards of evidence (Park)
3.7.1. empirical inquiries
3.8. Conventionalizing
3.8.1. models
3.8.1.1. Lends confidence
3.9. Descriptive (Park)
4. Data Collection(JC)
4.1. Types of Data
4.1.1. Objective
4.1.2. Subjective
4.1.3. Qualitative
4.2. Analyses,
4.3. Interpretations
4.4. Representations
5. Data Sharing
5.1. mergging
5.2. comparing
5.3. combining
5.4. reanalyzing
5.5. integrating
5.6. Ethical standards
5.7. Privacy and confidentiality
5.8. Credibility
5.8.1. Confirmability
5.8.1.1. Transferability
6. Heterogeneity
6.1. Overlapping Communities of Practice
7. Both Types of Research
7.1. documentation (Park)
7.1.1. data sharing (Park)
7.1.1.1. data repositories (KD)
7.1.1.1.1. data sharing technology (KD)
7.1.2. centralized databases
7.2. Evidence and Support
7.2.1. Verisimilitude (JC)
7.3. credibility (LF)
7.3.1. verification (Park)
7.4. Validity
7.4.1. Theories
7.4.1.1. Data (Park)
7.4.1.1.1. Evidence (Park)
7.4.1.2. Rep;ications
7.4.1.3. Generalizability
7.5. Research design
7.5.1. diversity
7.5.1.1. Standards
7.6. Scientific
7.6.1. Infrastructure
7.7. Social sciences
7.8. Community Standards
7.9. COLLECTION
7.10. Peer Review (KD)
7.10.1. Edits for further drafts
7.10.2. Argument and Data modification
7.11. Methods of Research (MP)
7.11.1. Control Group (MP)
7.12. Data Analysis (MP)
8. Qualitative Research (MP)
8.1. Observation (MP)
8.2. Not specifically replicable (MP)
8.3. Case Studies (MP)
8.4. Human Interaction (MP)
8.4.1. Action Research (MP)
8.5. Interpretive Results (MP)
8.5.1. Human Element (MP)
8.6. Data Collection (MP)
8.6.1. Interviews (MP)
8.6.2. Social Interactions (MP)
8.6.3. Transcriptions