The Method of Problems versus the Method of Topics

Author: Fred Eidlin, University of Guelph

Abstract

Students often feel lost when researching, not knowing where they are heading.
Many articles and lectures appear exciting but can turn out to be unengaging.
This confusion is indicative of a prevalent issue in methodology that focuses on topics instead of problems.
The method of topics involves a superficial approach to knowledge, while interesting research is problem-driven, beginning with gaps or inconsistencies in existing knowledge.

Topicism vs. Problem-Driven Research

Topicism: Refers to a method of inquiry without clear problems or questions; researchers may be unaware of the underlying issues needing exploration.
- Example: A student spends hours reading but feels lost and uncertain.
Method of Problems: Proposes a more productive approach focusing on critical identification and resolution of inconsistencies in knowledge.

The Concept of a 'Topic'

The word topic originates from the Greek word topos, meaning place. It implies a surface to cover without addressing its inherent interest.
Research often begins with data collection, aligned with Baconian scientific method assumptions.
Scientific method has historically been portrayed as collecting facts diligently, with knowledge dictated by nature.

Critique of Traditional Scientific Inquiry

Conventional texts emphasize data collection and observation without questioning the underlying knowledge base.
Karl Popper's View: Knowledge starts with problems, emphasizing that observations are guided by pre-existing questions.
- Observations reveal discrepancies in knowledge and generate inquiry.
The nature of problems is rooted in logical inconsistencies and can manifest as practical, ethical, political, or intellectual hurdles.

Logical Inconsistencies and Research Motivation

Intellectual Problems: Defined by logical contradictions; they are catalysts for inquiry and research.
- J.N. Hattiangadi’s Argument: Issues arise due to inconsistencies within existing beliefs or interpretations.
Logical inconsistencies compel researchers to seek explanations to restore coherence to their belief systems.

Factors Influencing Inquiry: Background Assumptions

Questions raised in research are influenced by background knowledge and cognitive interests but can lead to misunderstandings in scientific discourse.
Different perspectives (e.g., ornithologist vs. entomologist) can yield valid but varied accounts of the same data, highlighting the need for diverse theoretical lenses.
An observer's assumptions significantly influence what constitutes a problem, as exemplified by differing beliefs about economics or political structures.

The Notion of Autonomous Reality

A common goal across all scientific inquiry is to find explanations grounded in an understood reality.
Disparate frameworks can yield complementary truths. However, seemingly contradictory hypotheses stem from differing embedded assumptions.
Observations may rarely lead to conflicts with theoretical frameworks, underscoring the influence background knowledge exerts on interpretation.

Unconscious Knowledge and Scientific Progress

Many assumptions that shape scientific understanding are implicit and arise from cultural and linguistic contexts. This tacit knowledge often obstructs progress until conflicting theories highlight it.
Michael Polanyi emphasizes the role of tacit knowledge, which contributes meaning to experiences but is challenging to articulate.

Conclusion: The Method of Problems as a Prototype

Problem-driven research is not confined to natural sciences; it can also apply to classical and contemporary social science.
Noteworthy scholars (e.g., Marx, Durkheim, Weber, and Freud) exemplify problem-driven inquiry in their work, contrasting with the prevalent topic-focused approach.
Instruction often hinders genuine problem formulation, encouraging template-based research while neglecting the pursuit of actual problems.
Acknowledgment of the need for imagination and creativity in research is paramount, embracing uncertainty and the absence of guarantees in discovering problems.
No Cookbook for Problem-Driven Research: Each research path involves unique challenges that defy rigid methodologies, requiring flexibility and adaptability instead of a one-size-fits-all approach.

References

Comprehensive citation list of referenced materials highlights foundational literature supporting the arguments presented, encompassing various philosophers, theorists, and methodologies.

The Method of Problems versus the Method of Topics### Author: Fred Eidlin, University of Guelph#### Abstract- Students often feel lost when researching, not knowing where they are heading.- Many articles and lectures appear exciting but can turn out to be unengaging.- This confusion is indicative of a prevalent issue in methodology that focuses on topics instead of problems.- The method of topics involves a superficial approach to knowledge, while interesting research is problem-driven, beginning with gaps or inconsistencies in existing knowledge.#### Topicism vs. Problem-Driven Research- Topicism: Refers to a method of inquiry without clear problems or questions; researchers may be unaware of the underlying issues needing exploration.- Example: A student spends hours reading but feels lost and uncertain.- Method of Problems: Proposes a more productive approach focusing on critical identification and resolution of inconsistencies in knowledge.#### The Concept of a 'Topic'- The word topic originates from the Greek word topos, meaning place. It implies a surface to cover without addressing its inherent interest.- Research often begins with data collection, aligned with Baconian scientific method assumptions.- Scientific method has historically been portrayed as collecting facts diligently, with knowledge dictated by nature.#### Critique of Traditional Scientific Inquiry- Conventional texts emphasize data collection and observation without questioning the underlying knowledge base.- Karl Popper's View: Knowledge starts with problems, emphasizing that observations are guided by pre-existing questions.- Observations reveal discrepancies in knowledge and generate inquiry.- The nature of problems is rooted in logical inconsistencies and can manifest as practical, ethical, political, or intellectual hurdles.#### Logical Inconsistencies and Research Motivation- Intellectual Problems: Defined by logical contradictions; they are catalysts for inquiry and research.- J.N. Hattiangadi’s Argument: Issues arise due to inconsistencies within existing beliefs or interpretations.- Logical inconsistencies compel researchers to seek explanations to restore coherence to their belief systems.#### Factors Influencing Inquiry: Background Assumptions- Questions raised in research are influenced by background knowledge and cognitive interests but can lead to misunderstandings in scientific discourse.- Different perspectives (e.g., ornithologist vs. entomologist) can yield valid but varied accounts of the same data, highlighting the need for diverse theoretical lenses.- An observer's assumptions significantly influence what constitutes a problem, as exemplified by differing beliefs about economics or political structures.#### The Notion of Autonomous Reality- A common goal across all scientific inquiry is to find explanations grounded in an understood reality.- Disparate frameworks can yield complementary truths. However, seemingly contradictory hypotheses stem from differing embedded assumptions.- Observations may rarely lead to conflicts with theoretical frameworks, underscoring the influence background knowledge exerts on interpretation.#### Unconscious Knowledge and Scientific Progress- Many assumptions that shape scientific understanding are implicit and arise from cultural and linguistic contexts. This tacit knowledge often obstructs progress until conflicting theories highlight it.- Michael Polanyi emphasizes the role of tacit knowledge, which contributes meaning to experiences but is challenging to articulate.#### Conclusion: The Method of Problems as a Prototype- Problem-driven research is not confined to natural sciences; it can also apply to classical and contemporary social science.- Noteworthy scholars (e.g., Marx, Durkheim, Weber, and Freud) exemplify problem-driven inquiry in their work, contrasting with the prevalent topic-focused approach.- Instruction often hinders genuine problem formulation, encouraging template-based research while neglecting the pursuit of actual problems.- Acknowledgment of the need for imagination and creativity in research is paramount, embracing uncertainty and the absence of guarantees in discovering problems.- No Cookbook for Problem-Driven Research: Each research path involves unique challenges that defy rigid methodologies, requiring flexibility and adaptability instead of a one-size-fits-all approach.#### References - Comprehensive citation list of referenced materials highlights foundational literature supporting the arguments presented, encompassing various philosophers, theorists, and methodologies.