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Research_Methods_2_-_Summary__1_

Research Methods

The Research Cycle

  • Understanding the research cycle is fundamental in the field of research methods.

Paradigms

  • Definition: A paradigm is a set of beliefs that shapes the way one makes sense of the world.

  • Four Basic Paradigms in Science (Guba and Lincoln):

    • Positivism

    • Post-positivism

    • Critical Theory

    • Constructivism

Worldviews

  • Positivism/Post-positivism: Assumes an objective reality that can be understood through objective findings.

  • Critical/Constructivist Paradigms:

    • Rejects an 'objective' truth, perceiving the world as constantly changing and subjective.

Methodologies

  • Positivist and Post-positivist: Typically use quantitative methodologies.

  • Critical Theory and Constructivism: Typically use qualitative methodologies.

Characteristics of Qualitative and Quantitative Data

  • Qualitative Research Questions Must Be:

    • Descriptive: What is happening?

    • Exploratory: How are things working?

    • Explanatory: Why are things working as they are?

  • Data Types:

    • Qualitative Data: Text

    • Quantitative Data: Numbers

  • Role of Researcher:

    • Qualitative: Researcher is part of reality.

    • Quantitative: Researcher is outside of reality.

  • Epistemology:

    • Qualitative: Interpretive

    • Quantitative: Positivistic

  • Goal:

    • Qualitative: Depth

    • Quantitative: Breadth (generalization)

  • Methods:

    • Qualitative: Interviews, observations, document analysis.

    • Quantitative: Surveys, statistical analysis.

Epistemologies of Qualitative Research

Essential Questions in Urban Research

  • What do I see?

  • How am I going to study it?

  • What do I miss?

Key Research Paradigms in Qualitative Research

  • Positivism

  • Postpositivism

  • Critical Theory

  • Constructivism

Basis Beliefs of Key Paradigms

  • Realism: Reality independent of human consciousness.

  • Apprehendable: Reality is observable.

  • Relativism: Reality is not independent but dependent upon other factors.

  • Dialogic: Focus on dialogue.

  • Dialectical: Dialogue between differing viewpoints.

  • Hermeneutical: Emphasizes interpretation.

Terminologies

  • Ontology: The way you see the world.

  • Epistemology: The way you study the world.

  • Methodology: The methods used for research.

Trustworthy Data Criteria (for (Post)positivism)

  • Reliable

  • Valid

  • Objective

  • Replicable

Differences in Ontology, Epistemology, and Methodology:

Paradigm

Ontology

Epistemology

Methodology

Positivism

Naïve realism

Objective

Experimental

Postpositivism

Critical realism

Modified objective

Modified experimental

Critical Theory

Historical realism

Subjective

Dialogic and dialectical

Constructivism

Relativism

Subjective

Hermeneutical and dialectical

Trustworthy Data Criteria in Critical Theory/Constructivism

  • Communicative validation

  • Triangulation

  • Validation of interview settings

  • Authenticity

  • Postmodern rejections and first-person writing style.

Advanced Interviewing Skills

Types of Interviews

  • Closed interview

  • Open interview

  • Semi-structured interview

  • Narrative interview

  • Life history interview

  • Focus group interview

  • Mental mapping

  • Go-along interview

Goals of Interviewing

  • To obtain information, opinions, experiences, locations, emotions, and behaviors.

  • Goal of Opinion: Least interesting due to limited value.

Types of People to Interview

  • Elite interviews

  • Expert interviews

  • Stakeholder interviews

Characteristics of Interviews

  • Elite Interviews:

    • Can have formal/informal roles.

    • Provide institutional information.

    • Hold power in policy and planning.

  • Expert Interviews:

    • Hold scientific/practice knowledge.

    • Were involved in prior research.

Sampling Questions

  • Why?

  • How?

  • How many?

  • Representative?

Purposive Sampling Question

  • Who is the best person for information about this problem?

Probability Sampling and Saturation

Probability Sampling

  • Useful for surveys to ensure representativeness.

Saturation Concepts

  • Empirical Saturation: No new data emerges.

  • Theoretical Saturation: All operational elements filled with data.

Interview Questions Types

  • Introduction, follow-ups, probing, specifying, direct, indirect, structuring questions.

Interview Preparation Steps

  • Obtaining informed consent.

  • Making agreements on anonymity and quotes.

  • Taping interviews if allowed.

Types of Interviews Characteristics

  • Closed Interview: Limited improvisation, direct structure.

  • Semi-Structured Interview: More room for follow-up and probing questions.

First Steps in an Interview

  • Prepare item list.

Semi-Structured Interview Requirements

  • Clear and understandable.

  • Directly related to the topic.

  • Ask one question at a time.

  • Avoid assumptions and leading questions.

  • Use acceptable terms in community vernacular.

  • Phrased as open-ended invitations.

Narrative Interview

Definition and Use Cases

  • An interview that asks for a story.

  • Used to understand processes and perspectives.

Preparation for Narrative Interview

  • Prepare starting questions and topics.

Trust Requirements in Narrative Interviews

  • Essential to ensure open dialogue and sharing.

Post-Narrative Interview Steps

  • Context and performance description of storytelling.

Mental Mapping and Observations

Goals of Mental Mapping

  • Understand subjective perceptions.

  • Insight into bureaucratic strategies vs. everyday experiences.

Process of Mental Mapping

  • Be present and ask descriptive questions.

Post-Mapping Analysis

  • Analyze narrative and mapping relationship.

Ethnography Fundamentals

Ethnographic Fieldwork Activities

  • Gaining access and observing.

  • Conversing and gathering documents.

  • Making fieldnotes.

Ethnography Definition

  • Immersive social setting observation.

Goals of Urban Ethnographers

  • Understanding urban social life and influences on space.

Emic vs. Etic Approaches

  • Emic: Local perspective.

  • Etic: Observer's perspective.

Ethnography Critique

  • Subjectivity and lack of validation compared to quantitative studies.

Participant Observations

Goals

  • Thick description of social interactions.

Fieldwork Plan Requirements

  • Unit of analysis, places to observe, and interview subjects.

Note-taking in Participant Observations

Types

  • Fieldnotes, Diary, Logbook.

Characteristics of Fieldnotes

  • Should be descriptive, not value-loaded or vague.

Thematic Analysis

Importance of Method

  • Demonstrates credibility and systematic approach.

Characteristics of Thematic Analysis

  • Flexible, captures themes, highlights discrepancies.

Phases of Thematic Analysis

  1. Familiarize with data.

  2. Generate initial codes.

  3. Search for themes.

  4. Review themes.

  5. Determine and name themes.

  6. Produce a report.

Reflection on Findings and Ethics

Ethical Considerations

  • Procedural ethics vs. ethics in practice.

Fieldwork Ethics Considerations

  • Managing consent, objectivity, impact on individuals.

Requirements for Reflecting on Interviews and Observations

  • Analyze the impact of researcher's role.

Synergy in Research Projects

  • Essential components: Research Question, Concepts, Methods.

Quantitative Research

Benefits of Quantitative Methods

  • Facilitate personal research and understanding.

Data Types and Validity

  • Random and representative samples for valid conclusions.

Variables and Their Functions

  • Dependent (Y) vs. Independent (X) variables.

Correlations in Multivariate Analysis

  • Types include spurious, mediation, moderation.

Categorical vs. Ordinal Variables

  • Nominal: No order; Ordinal: Has order.

  • Examples: Gender (nominal), Education Level (ordinal).

Linear Regression (OLS)

Guidelines for Use

  • Applicable when the dependent variable is continuous.

Categorical Variables

  • Dummy codes for inclusion.

Logistic Regression

  • Popular for binary outcomes; includes coefficients interpretations.

GIS Overview

Vector-GIS Functions

  • Selecting by attribute/location, adding fields, analyzing geometry.

Raster-GIS Functions

  • Distance calculations, reclassifying data, zonal statistics.

GIS Accuracy

  • Raster-GIS more accurate for population data due to its resolution.

Conclusion

  • GIS is powerful in analyzing urban issues when applied critically alongside various research methods.