Part C (Q10): Elaborate the Qualitative and Quantitative Research Process.

Social work research generally follows two distinct paradigms, each suited to different types of questions.

1. The Quantitative Research Process

Quantitative research seeks to quantify variables, find objective measurements, and establish statistical, often causal, relationships. It asks "How many?", "How much?", or "What is the relationship between X and Y?"

The Process:

1. Identify the Problem & Review Literature: Find a gap in existing numerical data or theories to test.
2. Formulate Hypotheses: (Deductive Approach) Create highly specific, testable predictions (e.g., "Cognitive Behavioral Therapy reduces depression scores by 20% compared to no therapy").
3. Research Design: Highly structured and rigid. Usually an Experimental, Quasi-experimental, or Descriptive survey design. The design cannot be changed once data collection starts.
4. Sampling: Uses large, Probability Sampling (e.g., Random Stratified Sampling) to ensure the sample represents the whole population, allowing for statistical generalization.
5. Data Collection: Uses standardized, objective instruments (e.g., structured questionnaires with closed-ended questions, psychometric scales like the Beck Depression Inventory).
6. Data Analysis: Statistical analysis using software (SPSS, R). Testing for correlations, significance (p-values), and proving/disproving the null hypothesis.
7. Reporting: Highly objective, impersonal tone, relying heavily on charts, graphs, and statistical tables.

2. The Qualitative Research Process

Qualitative research seeks to understand the subjective, lived experiences of individuals and the deeper meanings they attach to their world. It asks "Why?" and "How does it feel?"

The Process:

1. Identify the Problem: Focused on exploring an under-researched phenomenon or understanding human experience.
2. Formulate Research Questions: (Inductive Approach) Instead of rigid hypotheses, the researcher poses broad, open-ended questions (e.g., "What is the lived experience of single mothers navigating the welfare system?").
3. Research Design: Highly flexible and emergent. Designs like Phenomenology, Ethnography, or Grounded Theory are used. The design can adapt and change as new information is discovered in the field.
4. Sampling: Uses small, Non-Probability Sampling (e.g., Purposive or Snowball sampling). The goal is not statistical representation, but finding "information-rich" cases.
5. Data Collection: Uses unstructured or semi-structured tools (e.g., in-depth interviews, focus groups, participant observation). The researcher themselves is considered the primary data collection instrument.
6. Data Analysis: Thematic analysis. The researcher reads through hundreds of pages of interview transcripts to identify recurring themes, patterns, and narratives, manually coding the text.
7. Reporting: Narrative and descriptive tone. Relies heavily on direct quotes from participants to capture their authentic voices and subjective realities.