Research

Academic Conference: An Event for Presenting and Discussing Research
An academic conference is a formal event where researchers present and discuss their findings, often organized by academic associations.
Academic Journal: A Scholarly Publication
An academic journal is a peer-reviewed periodical where research and scholarship related to specific academic disciplines are published.
Accounting Research: Systematic Investigation into Accounting Practices and Principles
Comprehensive exploration into the study of accounting practices, principles, and theories, delving into historical context, methodologies, key events, and practical applications.
Altmetrics: Measuring Digital Impact of Research
Altmetrics are alternative metrics that capture the digital impact of research through social media, blogs, and other online platforms.
Appendix: Supplementary Material in Documents
An appendix is a section at the end of a book or document that contains supplementary material not essential to the main text but which may be helpful to the reader.
Bibliography: A Comprehensive Guide
An exhaustive guide on bibliographies, their types, historical context, applications, and much more.
Blinding: Ensuring Objectivity in Research
Blinding refers to keeping the allocation hidden from participants or researchers to prevent bias in scientific and medical studies.
Causation vs. Correlation: Understanding the Difference
Causation vs. Correlation: A comprehensive guide on distinguishing between related events and those where one event causes the other, including historical context, mathematical formulas, charts, examples, and FAQs.
Colloquium: An Academic Meeting for Discussion
A colloquium is an academic meeting designed for in-depth discussions on a specific topic, typically more focused than a symposium.
Correlation vs. Causation: Understanding the Difference
A comprehensive guide to understanding the difference between correlation and causation, including historical context, key events, detailed explanations, examples, and more.
Department for Business, Innovation and Skills: An Overview
The UK government department responsible for consumer and competition policy, company legislation, employment law, science and research, higher education, and adult learning.
Development Research: Exploring the Process of Innovation
An in-depth exploration of development research, focusing on the methodologies and strategies for creating new products and technologies.
Double-Blind Study: Preventing Bias in Research
A comprehensive guide to understanding double-blind studies, their importance in research, types, history, key events, mathematical models, examples, and more.
Et alii (et al.): Usage in Academic Writing
Et alii (et al.) is a Latin term meaning 'and others,' commonly used in academic writing to refer to multiple authors without listing each one individually.
Experiment: Scientific Procedures to Test Hypotheses
An in-depth exploration of experiments, their types, historical context, key events, methodologies, and importance in scientific inquiry.
Experimental Event Rate (EER): Incidence of an Outcome in the Experimental Group
A comprehensive guide to understanding the Experimental Event Rate (EER) which measures the incidence of an outcome in an experimental group. This article provides historical context, key events, detailed explanations, mathematical formulas, charts, applicability, examples, and much more.
Experimentation: A Key Component of Research
A comprehensive overview of experimentation, focusing on testing specific hypotheses. Includes historical context, methodologies, applications, and significance in various fields.
IEEE Xplore: Comprehensive Research Database for Engineering and Technology
A detailed overview of IEEE Xplore, a premier research database specializing in engineering and technology fields. Explore its historical context, key events, types, and applications.
Independent Variable: Definition and Importance
An independent variable is a fundamental concept in research and statistics. It is the variable that is manipulated or selected by the researcher to determine its effect on the dependent variable.
Informant: Provider of Privileged Information
An informant is a person who provides privileged information to an authority, playing crucial roles in various sectors, including law enforcement and research.
Investigative Journalism: Uncovering the Truth Behind Complex Issues
Investigative Journalism involves deep, thorough research into complex issues to uncover the truth, often emphasizing a critical viewpoint towards those in power.
JSTOR: A Digital Library for Academic Journals and Books
An exploration of JSTOR, a comprehensive digital library providing access to academic journals, books, and primary sources across various disciplines.
Moderator Variable: An Influential Control Variable in Research
A comprehensive guide on moderator variables, their impact on the strength or direction of relations between independent and dependent variables, along with examples and applications in various fields.
Nested Hypothesis: Definition and Applications
An in-depth exploration of nested hypotheses in hypothesis testing, including historical context, types, key events, detailed explanations, and more.
Neuroscience: The Study of the Nervous System
A comprehensive examination of neuroscience, its historical context, subfields, methodologies, applications, and significance.
Non-probability Sampling: Definition & Overview
A comprehensive look at Non-probability Sampling, a method that does not involve random selection and is utilized in various research contexts.
Plagiarism: Using Someone Else's Work without Credit
Plagiarism is the act of using someone else's work without proper credit, which constitutes an infringement on copyright. This entry explores the definition, types, special considerations, examples, historical context, and more.
Population (N): The Entire Set of Individuals or Items of Interest in a Particular Study
Population in statistics refers to the entire set of individuals or items of interest in a particular study. It forms the basis for any statistical analysis and includes all possible subjects relevant to the research question.
Public Opinion Poll: Measuring Public Views on Specific Issues
A detailed exploration of public opinion polls, methodologies, historical context, and their importance in shaping public policy and understanding societal trends.
R&D: Research and Development in Innovation
A comprehensive guide to understanding Research and Development (R&D), which involves activities aimed at creating new knowledge, products, or processes, often leading to significant innovations.
Research Institute: Centers of Academic Excellence and Innovation
Research Institutes are establishments dedicated to academic research and innovation, often without the direct goal of advocacy or commercialization.
Sabbatical: Extended Leave for Study or Travel
An extended leave from work for study or travel, usually paid or partially paid, typically offered in academic environments for research and study.
Sample (n): A Subset of the Population
A sample (n) is a subset of the population selected for measurement or observation, crucial for statistical analysis and research across various fields.
Sampling Bias: A Distortion in Sample Representativeness
Sampling Bias: Understanding the distortion that occurs in the sample selection process, which can skew the representation and impact the validity of research findings.
Single-Blind Study: Ensuring Objectivity in Research
A single-blind study is a research experiment in which the participants are unaware of the group assignments, designed to reduce bias and increase the reliability of results.
Stock Market Analysis: Methods and Importance
Stock Market Analysis encompasses the evaluation of securities, markets, and economies to inform investment decisions.
Thesis: The Central Argument
An in-depth exploration of what a thesis is, its importance, and how to effectively develop one.
Think Tank: Research and Advocacy Organizations
An in-depth exploration of think tanks, their roles, functions, history, and significance in various fields such as social policy, political strategy, economics, and more.
Viability: The Ability to Work Successfully
An in-depth exploration of the concept of viability, covering its historical context, types, key events, applications, and more.
Independent Variables: Unrelated Influential Factors
An in-depth exploration of independent variables, defining them as variables that are in no way associated with or dependent on each other. This entry covers types, examples, applicability, comparisons, related terms, and more.
R&D Research and Development: Innovating for the Future
A comprehensive guide to understanding Research and Development (R&D), which involves activities aimed at creating new knowledge, products, or processes, often leading to significant innovations.
Research: Systematic Investigation for Reliable Insights
Research involves the systematic method of gathering, recording, and analyzing data to plan, create, and execute effective advertising and marketing campaigns. It also refers to the department dedicated to conducting these investigations within a company.
Research Intensive: Comprehensive Involvement in Research
The concept and applications of research-intensive products, projects, and industries requiring substantial man-hours of investigation, focusing on complex technology.
Survey Area: Geographic Location in Studies and Radio Markets
A Survey Area refers to a specified geographic region represented by a sample group in research studies or the geographical scope in a radio market.
Delphi Method: Comprehensive Forecasting Framework and Applications
The Delphi Method is a systematic forecasting process that utilizes multiple rounds of questionnaires to collect and refine expert opinions, ensuring robust predictions in various fields.
Jerry A. Hausman: Renowned Economist and Telecommunications Expert
An in-depth biography of Jerry A. Hausman, an esteemed economics professor and director of the MIT Telecommunications Economics Research Program.
Type I Error: Definition, Implications, and Examples
In statistical hypothesis testing, a Type I Error occurs when the null hypothesis is rejected even though it is true. This entry explores the definition, implications, examples, and measures to mitigate Type I Errors.

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