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Research Reports, Subjective
Subjectivity is generally conceptualized as the way research is influenced by the perspectives, values, social experiences, and viewpoint of the researcher. Traditional scientific discourse equates subjectivity with personal biases because, according to its empirical orientation, direct or indirect influence of the researcher on the collection, handling, interpretation, and reporting of data invalidates the research findings. For this reason, research reports from a scientific orientation make a claim to objectivity, a principle drawn from postpositivism that researchers should make every attempt to remain distanced from the phenomenon under investigation. This philosophical belief represents one way of managing subjectivity in research. Rather than attempt to diminish its potential influence, some scholars centralize the subjective position in the research process or, at minimum, acknowledge that the values and attitudes of the investigator are an inevitable aspect of research that cannot be ignored. At one point in time, subjectivity was considered paradoxical to scientific research. Presently, social scientists have evolved to understand and accept that subjectivity plays an important role in making sense of human behavior in the social world. This entry describes various approaches to subjective research reports and ways to cultivate subjectivity in research.
Approaches to Subjective Reporting
For all intents and purposes, research may be reported from either an objective or subjective perspective, yet scholars from a wide range of academic fields choose to approach their work from a subjective standpoint. This choice is primarily inspired by two sources: the scholar’s philosophy of research and the study’s research methods.
Philosophical Beliefs
The subjective report of research can be intentional. As it was intimated earlier, one’s philosophical orientation typically dictates the way he or she manages personal feelings, opinions, and preferences during research activity. Specifically, a researcher’s basic ontology (philosophy about the nature of reality) and epistemology (philosophy about how reality can be known) guides the manner in which that person selects a research problem, designs and implements the study, analyzes the data, and culminates the project with a research report. Some philosophical paradigms, such as critical and cultural studies, feminism, and interpretivism, have resolved that research assumptions and inquiries are saturated with the investigator’s history and social experiences. According to this general philosophical belief, subjectivity is tightly bound to the object under investigation and the tie is nearly impossible to loosen. Some researchers believe that a subjective report of research can benefit the investigation because those who have lived through the experiences they study have more authority and credibility to advance knowledge claims about a given topic than those who have simply read or pondered about such experiences. They can provide a deeper interpretation of the subject that would otherwise be missing from a scholar who is detached from the material.
Subjectivity is broadly embraced by a wide range of scholars, but the manner in which they incorporate it into their research varies according to one’s research paradigm (framework of beliefs, values, and methods within which research will take place). Feminist research is perhaps one of the foremost advocates of this approach. Feminist social scientists Donna Haraway and Sandra Harding are most famous for disputing the central position of objectivity. Instead, they asserted that knowledge of the social world is directly shaped by the experiences of those investigating it. Black feminist scholar Patricia Hill Collins later championed the idea that researchers should acknowledge, reflect, and even incorporate their perspectives into all aspects of the research process, including the report of research. Scholars from other research disciplines, like rhetoric, have a very liberal interpretation of subjectivity because so much of their research is based upon their own interpretations and critiques of existing social structures. Moreover, interpretive and postmodern paradigmatic sensibilities assert that subjectivity is reality. According to this paradigm, subjectivity does not need to be eliminated because objectivity does not exist in the social world.
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- Creating and Conducting Research
- Creation of Research Project
- Authoring: Telling a Research Story
- Body Image and Eating Disorders
- Hypothesis Formulation
- Methodology, Selection of
- Program Assessment
- Research Ideas, Sources of
- Research Project, Planning of
- Research Question Formulation
- Research Topic, Definition of
- Research, Inspiration for
- Social Media: Blogs, Microblogs, and Twitter
- Testability
- Ethics
- Acknowledging the Contribution of Others
- Activism and Social Justice
- Anonymous Source of Data
- Authorship Bias
- Authorship Credit
- Confidentiality and Anonymity of Participants
- Conflict of Interest in Research
- Controversial Experiments
- Copyright Issues in Research
- Cultural Sensitivity in Research
- Data Security
- Debriefing of Participants
- Deception in Research
- Ethical Issues, International Research
- Ethics Codes and Guidelines
- Fraudulent and Misleading Data
- Funding Research
- Health Care Disparities
- Human Subjects, Treatment of
- Informed Consent
- Institutional Review Board
- Organizational Ethics
- Peer Review
- Plagiarism
- Plagiarism, Self-
- Privacy of Information
- Privacy of Participants
- Public Behavior, Recording of
- Reliability, Unitizing
- Research Ethics and Social Values
- Researcher-Participant Relationships
- Social Implications of Research
- Literature Reviews
- Archive Searching for Research
- Bibliographic Research
- Databases, Academic
- Foundation and Government Research Collections
- Library Research
- Literature Review, The
- Literature Reviews, Foundational
- Literature Reviews, Resources for
- Literature Reviews, Strategies for
- Literature Sources, Skeptical and Critical Stance Toward
- Literature, Determining Quality of
- Literature, Determining Relevance of
- Meta-Analysis
- Publications, Scholarly
- Search Engines for Literature Search
- Vote Counting Literature Review Methods
- Writing and Publishing Research
- Abstract or Executive Summary
- Academic Journals
- Alternative Conference Presentation Formats
- American Psychological Association (APA) Style
- Archiving Data
- Blogs and Research
- Chicago Style
- Citations to Research
- Evidence-Based Policy Making
- Invited Publication
- Limitations of Research
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- Narrative Literature Review
- New Media Analysis
- News Media, Writing for
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- Pay to Review and/or Publish
- Peer Reviewed Publication
- Poster Presentation of Research
- Primary Data Analysis
- Publication Style Guides
- Publication, Politics of
- Publications, Open-Access
- Publishing a Book
- Publishing a Journal Article
- Research Report, Organization of
- Research Reports, Objective
- Research Reports, Subjective
- Scholarship of Teaching and Learning
- Secondary Data
- Submission of Research to a Convention
- Submission of Research to a Journal
- Title of Manuscript, Selection of
- Visual Images as Data Within Qualitative Research
- Writer’s Block
- Writing a Discussion Section
- Writing a Literature Review
- Writing a Methods Section
- Writing a Results Section
- Writing Process, The
- Creation of Research Project
- Designing the Empirical Inquiry
- Content Analysis
- Coding of Data
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- Content Analysis: Advantages and Disadvantages
- Conversation Analysis
- Critical Analysis
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- Intercoder Reliability
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- Intercoder Reliability Techniques: Percent Agreement
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- Repeated Measures
- Experimental Design Issues
- p value
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- Blocking Variable
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- Manipulation Check
- Measures of Variability
- Median Split of Sample
- Mixed Level Design
- Multitrial Design
- Null Hypothesis
- One-Group Pretest–Posttest Design
- Orthogonality
- Overidentified Model
- Pilot Study
- Population/Sample
- Power Curves
- Quantitative Research, Purpose of
- Quantitative Research, Steps for
- Quasi-Experimental Design
- Random Assignment
- Replication
- Research Proposal
- Rigor
- Sampling Theory
- Sampling, Determining Size
- Solomon Four-Group Design
- Stimulus Pre-test
- Two-Group Pretest–Posttest Design
- Two-Group Random Assignment Pretest–Posttest Design
- Variables, Control
- Variables, Dependent
- Variables, Independent
- Variables, Latent
- Variables, Marker
- Variables, Mediating Types
- Variables, Moderating Types
- Within-Subjects Design
- Linear Approaches to Statistics
- Analysis of Residuals
- Bivariate Statistics
- Bootstrapping
- Confidence Interval
- Conjoint Analysis
- Contrast Analysis
- Correlation, Pearson
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- Covariance/Variance Matrix
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- Discriminant Analysis
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- Linear Versus Nonlinear Relationships
- Multicollinearity
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- Multiple Regression: Block Analysis
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- Multiple Regression: Multiple R
- Multiple Regression: Standardized Regression Coefficient
- Partial Correlation
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- Semi-Partial r
- Simple Bivariate Correlation
- Statistical Measurement Issues
- Z score
- Categorization
- Cluster Analysis
- Data Transformation
- Errors of Measurement
- Errors of Measurement: Attenuation
- Errors of Measurement: Ceiling and Floor Effects
- Errors of Measurement: Dichotomization of a Continuous Variable
- Errors of Measurement: Range Restriction
- Errors of Measurement: Regression Toward the Mean
- Frequency Distributions
- Heterogeneity of Variance
- Heteroskedasticity
- Homogeneity of Variance
- Hypothesis Testing, Logic of
- Intraclass Correlation
- Mean, Arithmetic
- Mean, Geometric
- Mean, Harmonic
- Measures of Central Tendency
- Median
- Mode
- Mortality in Sample
- Normal Curve Distribution
- Relationships Between Variables
- Sampling, Probability
- Sensitivity Analysis
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- Skewness
- Standard Deviation and Variance
- Standard Error
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- Statistical Power Analysis
- Type I error
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- Univariate Statistics
- Variables, Categorical
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- Variables, Defining
- Variables, Interaction of
- Statistical Models
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- Binomial Effect Size Display
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- Cross-Lagged Panel Analysis
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- Meta-Analysis: Estimation of Average Effect
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- Meta-Analysis: Literature Search Issues
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- Meta-Analysis: Random Effects Analysis
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- Multivariate Analysis of Variance (MANOVA)
- Multivariate Statistics
- Odds Ratio
- Ordinary Least Squares
- Path Analysis
- Probit Analysis
- Quasi-F
- Sobel Test
- Structural Equation Modeling
- Time-Series Analysis
- Analysis of Variance Approaches
- Understanding the Scope of Communication Research
- Areas of Inquiry
- Acculturation
- African American Communication and Culture
- Agenda Setting
- Applied Communication
- Argumentation Theory
- Asian/Pacific American Communication Studies
- Bad News, Communication of
- Basic Course in Communication
- Business Communication
- Communication and Aging Research
- Communication and Culture
- Communication and Evolution
- Communication and Future Studies
- Communication and Human Biology
- Communication and Technology
- Communication Apprehension
- Communication Assessment
- Communication Competence
- Communication Education
- Communication Ethics
- Communication History
- Communication Privacy Management Theory
- Communication Skills
- Communication Theory
- Conflict, Mediation, and Negotiation
- Corporate Communication
- Crisis Communication
- Cross-Cultural Communication
- Cultural Studies and Communication
- Cyberchondria
- Dark Side of Communication
- Debate and Forensics
- Development of Communication in Children
- Diaspora
- Digital Media and Race
- Digital Natives
- Dime Dating
- Disability and Communication
- Distance Learning
- Educational Technology
- Emergency Communication
- Empathic Listening
- English as a Second Language
- Environmental Communication
- Family Communication
- Feminist Communication Studies
- Film Studies
- Financial Communication
- Freedom of Expression
- Game Studies
- Gender and Communication
- GeoMedia
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- Massive Multiplayer Online Games
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- Structure of Research Community
- Areas of Inquiry
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