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Group 5 Mindmap by Mind Map: Group 5 Mindmap
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Group 5 Mindmap

Heterogeneity

Overlapping Communities of Practice

Generalizability (Justin Cormier)

Generalizability theory, or G Theory, is a statistical framework for conceptualizing, investigating, and designing reliable observations. It is used to determine the reliability of measurements under specific conditions. It is particularly useful for assessing the reliability of performance assessments. It was originally introduced in Cronbach, L.J., Nageswari, R., & Gleser, G.C..

replications

verifications of results

Common characteristics

Deductive Inference

Applicability

Scientific Research

Case study

Knowledge accumulation

comparable subjects, Controlled subjects

cumulative knowledge

replication, INSIGHT, DEVELOPMENT

Intensive Research (MP)

Analyzing data (Park)

scholarly journals, accountability

Professional associations

Disciplinary journals

Professional journals

Summary and Conclusion

Recommendations based on data

Tables outlining basic conclusions

Issues for consideration for further studies

Questions and methods

Hypothesis

Variables

Theories (MP), Past Research (MP)

Replications (Park)

Analyze (Park)

validated measure

Reliability

Both Types of Research

documentation (Park)

data sharing (Park), data repositories (KD), data sharing technology (KD)

centralized databases

Evidence and Support

Verisimilitude (JC)

credibility (LF)

verification (Park)

Validity

Theories, Data (Park), Evidence (Park), Rep;ications, Generalizability

Research design

diversity, Standards

Scientific

Infrastructure

Social sciences

Community Standards

COLLECTION

Peer Review (KD)

Edits for further drafts

Argument and Data modification

Methods of Research (MP)

Control Group (MP)

Data Analysis (MP)

Standardization and Systemization (JC)

Trial and error (Park)

continuous evaluation (Park)

Evolve and develop

Overconventionalizing (JC)

mindless research recipes (JC), Limiting scholarly orthodoxies (JC)

limiting

Underconventionalizing (JC)

intellectual fads (JC)

fragmentation (JC)

lack of continuity (JC)

Association

Asessments

Standards of evidence (Park)

empirical inquiries

Conventionalizing

models, Lends confidence

Descriptive (Park)

Data Collection(JC)

Types of Data

Objective

Subjective

Qualitative

Analyses,

Interpretations

Representations

Data Sharing

mergging

comparing

combining

reanalyzing

integrating

Ethical standards

Privacy and confidentiality

Credibility

Confirmability, Transferability

Qualitative Research (MP)

Observation (MP)

Not specifically replicable (MP)

Case Studies (MP)

Human Interaction (MP)

Action Research (MP)

Interpretive Results (MP)

Human Element (MP)

Data Collection (MP)

Interviews (MP)

Social Interactions (MP)

Transcriptions