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  1. AP Research
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Glossary

A

Academic Integrity

Criticality: 3

Adherence to ethical principles in all academic pursuits, including honesty, trustworthiness, fairness, and respect for others' intellectual property.

Example:

Submitting original work and properly citing sources are fundamental aspects of maintaining Academic Integrity.

Argument Formation

Criticality: 3

The process of developing a well-reasoned claim or position supported by evidence and logical reasoning, considering the complexities of the topic.

Example:

When writing your paper, focus on strong Argument Formation by ensuring every piece of evidence directly supports your central thesis.

B

Biases and Assumptions

Criticality: 3

Personal inclinations, preconceptions, or beliefs that can influence the research process, data interpretation, or conclusions, requiring acknowledgment for academic credibility.

Example:

It's important to acknowledge your own Biases and Assumptions about a topic, such as a strong personal opinion, to maintain objectivity in your research.

C

Citation Style

Criticality: 3

A standardized method for formatting references and citations in academic writing, ensuring proper attribution of sources (e.g., APA, MLA, Chicago).

Example:

For your psychology research paper, you will likely use the APA Citation Style to format your in-text citations and reference list.

Critical Analysis of One's Own Work

Criticality: 3

The reflective process of evaluating one's own research, including its strengths, limitations, implications, and the influence of personal perspectives and choices.

Example:

A key part of AP Research is the Critical Analysis of One's Own Work, where you reflect on how your initial assumptions might have shaped your methodology.

D

Disciplinary Approach

Criticality: 2

Analyzing a research topic through the lens of a single academic discipline, applying its specific theories, methods, and perspectives.

Example:

A study on economic inequality using only economic models and theories would be an example of a Disciplinary Approach.

I

Interdisciplinary Approach

Criticality: 2

Analyzing a research topic by integrating insights, methods, and theories from two or more academic disciplines to gain a more comprehensive understanding.

Example:

Examining the impact of climate change on human migration by combining environmental science, sociology, and political science perspectives demonstrates an Interdisciplinary Approach.

L

Limitations and Implications

Criticality: 3

Limitations are the boundaries or constraints of a study (e.g., sample size, methodology), while implications are the potential consequences or significance of the findings.

Example:

The small sample size was a Limitation of the study, but its findings had significant Implications for future policy changes.

M

Mixed-Methods Approach

Criticality: 2

A research design that combines both qualitative and quantitative data collection and analysis methods within a single study to provide a more comprehensive understanding.

Example:

A study that uses both surveys (quantitative) and focus groups (qualitative) to understand student satisfaction is employing a Mixed-Methods Approach.

P

Plagiarism Prevention

Criticality: 3

Practices and strategies used to avoid presenting someone else's ideas or work as one's own, ensuring academic integrity.

Example:

Using a consistent citation style and taking meticulous notes are crucial for effective Plagiarism Prevention.

Q

Qualitative Data

Criticality: 2

Non-numerical information collected through methods like interviews, observations, or open-ended surveys, providing rich, descriptive insights into experiences or phenomena.

Example:

Interview transcripts and field notes from observing classroom interactions are examples of Qualitative Data.

Quantitative Data

Criticality: 2

Numerical information collected through methods like surveys with rating scales, experiments, or statistical records, allowing for statistical analysis and generalization.

Example:

Survey responses on a Likert scale or test scores are examples of Quantitative Data that can be statistically analyzed.

R

Research Process

Criticality: 3

The systematic approach to conducting scholarly inquiry, involving steps from formulating questions to drawing conclusions and reflecting on one's work.

Example:

In AP Research, students engage in the full Research Process, from initial inquiry to final presentation, transforming from consumers to producers of knowledge.

S

Synthesizing Data

Criticality: 3

The process of combining information from various sources and perspectives (e.g., primary, secondary, qualitative, quantitative) to form a coherent understanding or support an argument.

Example:

After collecting survey results and interview transcripts, the researcher began Synthesizing Data to identify overarching themes and statistical trends.