Suggested Structure: Reference: Discipline(s) Key Question Theoretical ✓ Solved
Suggested Structure:
- Reference:
- Discipline(s):
- Key Question:
- Theoretical /Applied
- Experimental/non-experimental
- Empirical/non-empirical
- Primary/Secondary Data
- Deductive/inductive
- Self-reported/Observed
- Descriptive/explanatory
- Qualitative/Quantitative
Concise annotation (100 words) Article review by: [insert name and ID number here]
Paper For Above Instructions
This paper aims to provide a clear and structured approach to reviewing a selected article in academic research. The suggested structure encompasses listing references, identifying relevant disciplines, formulating a key question, and classifying the research design and data types used. Understanding the theoretical and applied aspects of research, as well as the choice between experimental and non-experimental methods, is crucial for analyzing the credibility and relevance of research findings.
Reference
The reference cited in this review is essential for grounding the analysis in established literature. It is advisable to follow a precise citation format, which includes the author(s), publication year, title of the article, journal name, volume, issue, and page numbers.
Disciplines
Selecting the appropriate discipline is imperative in framing the context of the research. Disciplines such as psychology, sociology, biology, or education might influence the key question posed and the subsequent methodology adopted.
Key Question
The formulation of a key question is the cornerstone of any research endeavor. It dictates the direction of the research and informs the choice of methodology, data collection, and analysis techniques. A well-defined key question should be specific, measurable, achievable, relevant, and time-bound (SMART).
Theoretical / Applied
Research can be broadly classified into theoretical and applied categories. Theoretical research focuses on developing and testing theories, while applied research seeks practical solutions to real-world problems. Identifying this aspect early on will guide the research process significantly.
Experimental / Non-experimental
This classification pertains to the kind of research design employed. Experimental research involves manipulating variables to determine cause-and-effect relationships, whereas non-experimental research observes and analyzes variables without manipulation. The choice between these designs impacts the findings and their applicability.
Empirical / Non-empirical
Empirical research relies on observed and measured phenomena, gathering data through experiments or observations. Non-empirical research, on the other hand, encompasses theoretical analyses, literature reviews, and conceptual frameworks. Understanding the type of research is vital for evaluating the robustness of its conclusions.
Primary / Secondary Data
Determining whether the article utilizes primary or secondary data is crucial for appraisal. Primary data is collected firsthand for the specific research study, ensuring its relevance and accuracy. In contrast, secondary data is sourced from existing research and may require careful evaluation of its reliability and applicability to the current research question.
Deductive / Inductive
Deductive reasoning begins with a general theory and tests it through specific observations, while inductive reasoning builds generalizations based on specific instances. Recognizing the reasoning approach can shed light on the integrity and direction of the research conclusions.
Self-reported / Observed
This categorization concerns how data is gathered. Self-reported data can introduce biases, as it relies on participants' honesty and accuracy in reporting. Observed data tends to offer a more objective standpoint, thereby enhancing the credibility of research findings.
Descriptive / Explanatory
Descriptive research aims to detail and characterize phenomena, while explanatory research seeks to clarify reasons or mechanisms behind these phenomena. This distinction informs the goals and anticipated outcomes of the research, influencing its interpretation and utility.
Qualitative / Quantitative
Qualitative research focuses on understanding human behavior and experiences through non-numerical data, emphasizing depth and context. Quantitative research, in contrast, employs numerical data and statistical analyses to draw conclusions, offering breadth and generalizability. The choice of approach shapes the research design and impacts the interpretative framework used in evaluating findings.
Concise Annotation
The annotation should summarize the key insights and contributions presented in the article, demonstrating an understanding of its relevance, methodology, findings, and impact on the field. Keeping it concise while capturing the essence of the work is essential for clarity and utility.
Article Review Author's Details
Finally, it is crucial to document the author's name and ID number for accountability and to facilitate any follow-up related to the review.
References
- Author Last Name, First Initial. (Year). Title of the article. Journal Name, Volume(Issue), page range.
- Author Last Name, First Initial. (Year). Title of the article. Journal Name, Volume(Issue), page range.
- Author Last Name, First Initial. (Year). Title of the article. Journal Name, Volume(Issue), page range.
- Author Last Name, First Initial. (Year). Title of the article. Journal Name, Volume(Issue), page range.
- Author Last Name, First Initial. (Year). Title of the article. Journal Name, Volume(Issue), page range.
- Author Last Name, First Initial. (Year). Title of the article. Journal Name, Volume(Issue), page range.
- Author Last Name, First Initial. (Year). Title of the article. Journal Name, Volume(Issue), page range.
- Author Last Name, First Initial. (Year). Title of the article. Journal Name, Volume(Issue), page range.
- Author Last Name, First Initial. (Year). Title of the article. Journal Name, Volume(Issue), page range.
- Author Last Name, First Initial. (Year). Title of the article. Journal Name, Volume(Issue), page range.