Applied Research

Subtopic:

Steps in the Research Process

The research process comprises a structured sequence of procedures that researchers follow to generate valuable and reliable knowledge related to their chosen topic. Adhering to these steps is crucial for effective research, ensuring a focused and systematic approach.

Here are the key stages in the research process:

Step 1: Identify the Research Problem
  • This initial step involves pinpointing a specific question or area of interest that requires investigation through data collection.

  • A research problem is essentially a gap in knowledge or an issue that warrants further exploration and understanding.

  • When selecting a problem for research, consider its potential to:

    • Yield Broadly Applicable Findings: Lead to results that have significant implications within a particular field of study.

    • Challenge Existing Paradigms: Question commonly held beliefs or established norms.

    • Address Current Inadequacies: Examine limitations or weaknesses in existing knowledge or practices.

    • Maintain a Focused Scope: Be neither too broad nor too narrow, allowing for manageable and meaningful investigation.

  • In nursing and related professions, research problems can emerge from diverse sources, including:

    • Clinical Practice: Observed issues or questions arising from patient care scenarios.

    • Professional Literature: Gaps or unanswered questions identified in existing research and publications.

    • Theoretical Frameworks: Areas where existing theories require further testing or development.

  • Once a research problem is clearly identified, it forms the foundation for formulating specific research objectives and questions.

  • Stating the Problem Effectively:

    • Clear and Engaging Language: The problem statement should be written in a way that immediately captures the reader’s attention and highlights the importance of the issue.

    • Objectively Researchable: The identified problem must be amenable to objective investigation through research methods.

    • Manageable Scope: The problem should be defined within a scope that is realistically researchable within available resources and time.

    • Purposeful: The problem statement implicitly or explicitly indicates the overall purpose and direction of the research.

Step 2: Determine the Purpose of the Study
  • The purpose statement, derived directly from the research problem, articulates the specific aim or goal of the research project.

  • While the problem statement identifies what will be investigated, the purpose statement clarifies why the study is being undertaken and what it seeks to achieve. The purpose often aims to:

    1. Pinpoint a Solution: Identify a potential resolution to the research problem.

    2. Describe a Solution: Provide a detailed account of a solution or phenomenon related to the problem.

    3. Explain a Solution: Offer an understanding of the underlying mechanisms or reasons behind a solution or problem.

    4. Predict an Outcome: Forecast a likely solution or future state based on the research.

    5. Evaluate Practices or Develop Tools: Assess the effectiveness of existing practices, programs, or create new instruments (e.g., assessment tools).

Step 3: Review Existing Literature
  • Conduct a thorough review of relevant scholarly literature.

  • A literature review is the systematic process of:

    • Summarizing: Condensing the main points of published works.

    • Synthesizing: Combining information from different sources to identify patterns and themes.

    • Critiquing: Evaluating the strengths and weaknesses of existing research.

  • After identifying a research problem, a comprehensive literature review is essential to:

    • Identify Prior Research: Locate studies that are similar or related to the current research problem. This builds upon existing knowledge and avoids unnecessary duplication.

    • Understand Research Strategies: Learn about effective methodologies, procedures, and measurement tools used in previous studies related to the research problem.

    • Learn from Past Experiences: Benefit from the insights and lessons learned by other researchers, avoiding potential pitfalls and adopting successful approaches.

  • A strong literature review enables researchers to:

    1. Prevent Redundancy: Avoid repeating research that has already been adequately conducted.

    2. Establish a Framework: Create a context for interpreting the findings of the current research in relation to existing knowledge.

    3. Demonstrate Expertise: Showcase the researcher’s understanding of the existing body of knowledge and relevant scholarly conversations in the field.

Step 4: Define Research Objectives and Questions
  • Formulate specific research objectives and research questions.

  • Once the research problem is identified and the literature reviewed, the problem needs to be refined into a more focused and measurable form suitable for investigation.

  • This step involves translating a broad, general problem statement into specific, actionable objectives and answerable research questions.

  • Well-defined objectives and questions provide:

    • Clear Direction: Guide the research process and keep the study focused.

    • Specific Focus: Narrow down the scope of the research to manageable and answerable components.

  • Example:

    • Research Objective: “To assess factors that affect the effectiveness of infection prevention and control in Kamwokya hospital.”

    • Research Question: “What are the factors that affect the effectiveness of infection prevention and control in Kamwokya hospital?”

  • Research objectives are typically:

    • Clear: Easily understood and unambiguous.

    • Concise: Expressed briefly and directly.

    • Declarative: Stated as statements of intent rather than questions.

    • Present Tense: Generally written in the present tense to indicate current aims.

Step 5: Select Research Method and Design
  • Choose the appropriate research method and design for the study.

  • The research design is the overall strategic plan or framework that guides the entire research process.

  • It serves as a blueprint, outlining the steps and procedures the researcher will take to answer the research questions.

  • The research design dictates the methods for:

    • Subject Selection: How participants or subjects will be recruited for the study.

    • Data Collection: What specific techniques will be used to gather data.

    • Data Analysis: How the collected data will be processed and analyzed.

    • Results Interpretation: How the findings will be interpreted and understood.

  • Based on the research problem and objectives, the researcher needs to make key decisions regarding:

    • (i) Research Approach:

      • Determine the most suitable approach to effectively address the research questions or meet the study objectives.

      • Consider options such as: surveys, case studies, experiments, or qualitative approaches.

    • (ii) Data Collection Instrument:

      • Select the most effective instrument(s) for gathering the necessary information.

      • Consider instruments like: questionnaires, checklists, interview guides, observation protocols.

      • Decide whether to use a single instrument or a combination of instruments.

    • (iii) Data Collection Procedure:

      • Identify and evaluate different procedures for collecting data.

      • Weigh the advantages and disadvantages of each procedure, considering factors such as: accessibility, participant burden, time constraints, and costs.

    • (iv) Data Analysis Plan:

      • Develop a plan for analyzing the collected data that aligns with the research design and objectives.

      • Address the question: “What will be done with the data once it is collected?”

    • (v) Population and Sample:

      • Define the target population for the study (e.g., specific demographic groups, patient populations).

      • Determine the accessible population from which participants can be recruited.

      • Establish criteria for sample selection (inclusion/exclusion criteria).

      • Decide on the appropriate sample size and sampling method.

      • Plan methods for contacting and recruiting participants.

Step 6: Specify the Study Subjects
  • Clearly define the characteristics of the individuals or entities that will be included in the study (research subjects or participants).

  • This step involves specifying inclusion and exclusion criteria to define the study population.

  • In many cases, it is not feasible to study the entire population of interest, so a representative sample must be selected.

Step 7: Conduct a Pilot Study (Optional but Recommended)
  • Before implementing the full-scale research plan, consider conducting a pilot study or trial run.

  • A pilot study is a smaller-scale preliminary study conducted to:

    • Identify Potential Problems: Unforeseen issues or challenges often emerge during the research process.

    • Refine Research Procedures: Test and refine data collection instruments, procedures, and the overall research design.

    • Improve the Research Project: Use the insights gained from the pilot study to make necessary adjustments and improvements to the main research project.

Step 8: Collect Data
  • Systematically gather data according to the chosen research design and data collection methods.

  • This involves:

    • Participant Recruitment: Contacting and recruiting subjects or participants based on the sampling plan.

    • Informed Consent: Explaining the study to participants and obtaining their informed consent to participate ethically.

    • Data Gathering: Implementing the chosen data collection instruments and procedures (e.g., administering questionnaires, conducting interviews, performing experiments).

Step 9: Analyze Data
  • Process and analyze the collected data to identify patterns, relationships, and meaningful insights.

  • The data analysis approach is determined by the research method and design employed.

  • Before starting data analysis:

    • Data Cleaning: Examine the collected data for completeness and accuracy.

    • Discard Incomplete/Inaccurate Data: Remove any data that is unreliable or incomplete to ensure data quality.

    • Data Organization: Structure and organize the data in a systematic and coherent manner to facilitate analysis and pattern identification.

  • Common data analysis techniques include:

    • Descriptive Statistics: Used to summarize and describe the main features of the data (e.g., frequencies, means, standard deviations).

    • Inferential Statistics: Used to draw conclusions and make inferences about a population based on sample data (e.g., t-tests, ANOVA, regression analysis).

Step 10: Interpret Results
  • Make sense of the analyzed data and interpret the findings in relation to the research problem and objectives.

  • Interpretation involves:

    • Meaning Making: Determining the implications and significance of the research results.

    • Data-Driven Conclusions: Answering the questions: “What do the data tell us?” and “What did we learn from the data?”

    • Broader Implications: Considering the wider relevance and impact of the findings for different audiences.

    • Value and Application: Evaluating the value of the study and its potential applications, including implications for policy changes or practice improvements.

    • Recommendations: Formulating recommendations for future research based on the study’s findings and limitations.

Step 11: Develop the Research Report
  • Communicate the research findings effectively by developing and disseminating a comprehensive research report to relevant audiences.

  • The research report can be:

    • Written: In the form of a thesis, dissertation, journal article, or research report.

    • Oral: Presented at conferences, seminars, or meetings.

  • A well-structured research report should:

    • Clearly Communicate Each Step: Present a detailed account of each stage of the research process, from problem identification to interpretation of results.

    • Be Well-Organized: Follow a logical and structured format for clarity and readability.

    • Provide Sufficient Detail: Include enough information to be informative and allow for replication or critical evaluation by others.

    • Be Succinct and Clear: Use concise and precise language to express findings and conclusions effectively. “Use short, succinct sentences.”