Sequential Exploratory Research Design in Psychology

Overview and Definition of Sequential Exploratory Research Design

  • Formal Definition: Sequential exploratory research design is characterized as a dynamic approach in psychology that emphasizes iterative insight discovery.

  • Process Flow: The method follows a two-phase process where the collection of qualitative data precedes the analysis of quantitative data.

  • Dominant Characteristic: It typically begins with qualitative research, allowing investigators to gather rich, in-depth data from subjects before moving into a quantitative phase.

  • Notation: Often represented as (qual → QUANT), indicating the initial qualitative phase informs the major quantitative phase.

Learning Objectives and Educational Outcomes

  • Structure Identification: Describe the specific structure of sequential exploratory design, focusing on the progression from qualitative (qual) to quantitative (QUANT) phases.

  • Strength Explanation: Explain the strengths of this design, particularly its utility in developing new insights or constructing research tools.

  • Application in Psychology: Identify how this design is specifically utilized within psychological research fields.

  • Data Transformation: Understand the methodology used to translate qualitative findings into quantitative measures.

  • Recognizing Constraints: Acknowledge the limitations of the design, including time requirements, resource allocation, and the complexities of data integration.

Primary Purpose and Rationales for Design Selection

  • Generalization: The primary intent is to generalize qualitative findings, which are based on a small number of individuals in the first phase, to a much larger sample in the second phase.

  • Informing Methods: The design ensures that the results of the qualitative method inform the development and implementation of the subsequent quantitative method.

  • Specific Rationales for Use: This design is chosen based on the premise that exploration is necessary due to:
        - (1) Measures or instruments not being currently available.
        - (2) Variables of the study being unknown.
        - (3) The absence of a guiding framework or established theory.

Theoretical Background: The Shift in Perspective

  • From Exploration to Measurement: Data collection from the qualitative phase builds the foundation used to construct the quantitative phase (referenced to Guest & Fleming, 2014).

  • The Dominant Variation (qual → QUAN):
        - Phase 1 (lowercase 'qual'): Rooted in Constructivism. It focuses on gathering subjective, authentic human experiences.
        - Phase 2 (uppercase 'QUAN'): Shifts to Post-positivism. It focuses on objectively and statistically measuring the findings from the first phase.

  • The Alternative Route (quan → QUAL): In specific cases, initial quantitative survey data is used as a tool to purposefully select participants for deeper qualitative interviews later.

Methodological Features and The "Bridge" Procedure

  • Integration Necessity: As a multiphase mixed-method design, it is heavily reliant on the integration of data types.

  • Sampling Strategies:
        - Phase 1: Employs Purposive sampling, focusing on a small, targeted group.
        - Phase 2: Employs Probability sampling, focusing on a large, representative group.

  • The "Bridge" Procedure: This is the action of translating qualitative themes directly into structured quantitative survey items.

  • Data Analysis Techniques:
        - Phase 1: Uses Thematic Analysis.
        - Phase 2: Uses statistical validation, specifically mentioning Cronbach’s alpha and Factor Analysis.

Figure 3.5: Basic Procedures for Implementing Exploratory Design

  • Step 1: Design and Implement the Qualitative Strand:
        - State qualitative research questions.
        - Determine the qualitative approach.
        - Obtain necessary permissions.
        - Identify the qualitative sample.
        - Collect open-ended data using established protocols.
        - Analyze data via theme development to answer research questions and identify info for Phase 2.

  • Step 2: Use Strategies to Build on Qualitative Results:
        - Refine quantitative research questions or hypotheses.
        - Refine the mixed methods question.
        - Determine selection criteria for the quantitative sample.
        - Design and pilot test a quantitative data collection instrument based on Phase 1 themes.

  • Step 3: Design and Implement the Quantitative Strand:
        - State quantitative questions/hypotheses that build on qualitative results.
        - Determine the quantitative approach and obtain permissions.
        - Select a large sample to generalize or test the qualitative results.
        - Collect closed-ended data using the newly designed instrument.
        - Analyze data using descriptive statistics, inferential statistics, and effect sizes.

  • Step 4: Interpret the Connected Results:
        - Summarize and interpret both qualitative and quantitative results.
        - Discuss the extent and ways in which quantitative results generalize or test the qualitative findings.

Applications in Psychology: Building New Tools

  • The Gold Standard for Scale Development: This design is frequently used in Clinical, Developmental, and Social Psychology to create new, culturally sensitive assessment tools.

  • Relevance to Modern Practice: Necessary for exploring localized traits or modern phenomena where Western tools do not apply. Cited examples include:
        - Pandemic Fatigue
        - AI Anxiety

  • Theory-Building: Melds the authentic voice of the client with rigorous statistical validation to establish new psychological frameworks.

Strengths, Challenges, and Appropriateness

  • Strengths:
        - Straightforward to describe, implement, and report due to separate phases.
        - Inclusion of quantitative data makes qualitative approaches more acceptable to quantitative-biased audiences.
        - Useful when the need for the second phase emerges only after initial learning.
        - Product-oriented (e.g., results in a new instrument).

  • Challenges:
        - Requires considerable time, especially for instrument development.
        - Researchers must plan for extended study durations.

  • When to Use:
        - Best when: Variables are unknown or a new theory is required.
        - Not appropriate when: A simple mono-method approach (only qualitative or only quantitative) is sufficient to answer the research question.

Named Examples and Case Studies

  • COVID-19 Study: "The Psychological Consequences of COVID-19 and Lockdown in the Spanish Population: An Exploratory Sequential Design" by Hidalgo, Balluerka, Gorostiaga, Espada, Santed, Padilla, and G3mez-Benito (2020).

  • Filipino Study Habits: "Development of Study Habits Inventory for Filipino High School Students" by Aireen L. Lopez (Centro Escolar University Graduate School, 2021).

Classroom Icebreakers and Discussion Points

  • Protocol: Students respond with "eyy ka muna eyy" for agreement or "nopo work muna" for disagreement.

  • Prompt 1: "Psychology is a science." (Prize mentioned: "limang pitik with soft moves").

  • Prompt 2: "Social media cannot be used for psychological research." (Prize mentioned: "career muna po").

  • Prompt 3: "Mixed methods research is a waste of time." (Prize: Ilocos Empanada - Pistachio x Kanafe Filling: Creamy, Green, Gooey, Crispy, Orange Shell).

  • Prompt 4: "Phenomenology cannot be considered scientific because it is too subjective." (Prize: "apply and submit your").

Academic References

  • Ashraf & Zafar (2026): Explaining Exploratory sequential designs in mixed Methods Research.

  • Creswell & Plano Clark (2018): Designing and conducting mixed methods research (3rd ed.).

  • Garip (2025): Use of exploratory sequential design in communication; possible problems and suggestions.

  • Guest & Fleming (2015): Mixed methods research. SAGE Publications.

  • Hasan et al. (2021): Ethical considerations in research. Journal of Nursing Research, Patient Safety and Practise (JNRPSP).

  • Hidalgo et al. (2020): Psychological consequences of COVID-19 in the Spanish population.

  • Lamm, Lamm & Edgar (2020): Scale development and validation methodology.

  • Lopez (2021): Development of Study Habits Inventory for Filipino High School Students.

  • Munce, Guetterman & Jaglal (2020): Using exploratory sequential design for complex intervention development.

  • Olawale, Chinagozi & Joe (2023): Exploratory research design in management science review.

  • Saunders, Lewis & Thornhill (2019): Research methods for business students.

  • Sharma et al. (2023): Exploring mixed methods research design: types, purposes, strengths, and challenges.

  • Williams (2024): Sequential Exploratory Research design examples (Insight7).