All Papers/Social Work Research (2023-24)/Q9
Q9
15 Marks

Part C (Q9): Explain the meaning, attributes and types of Hypothesis.

Expert Answer

Meaning of Hypothesis A hypothesis is a tentative, testable statement or prediction about the relationship between two or more variables. In social work research, it acts as an educated guess derived from existing theory or observation that guides the entire empirical investigation. It predicts the outcome of the research before data is collected.

Attributes of a Good Hypothesis

  1. Testability: The most crucial attribute. A hypothesis must be capable of being proven false using empirical data. "Ghosts cause bad luck" is not testable; "People living in high-crime areas experience higher anxiety" is.
  2. Clarity and Precision: The concepts used must be clearly defined and unambiguous.
  3. Specificity: It should state the expected relationship between specific variables (e.g., "An increase in X leads to a decrease in Y"), rather than making a vague, generalized claim.
  4. Theoretical Foundation: A good hypothesis is logically derived from existing social theories or prior research findings, not just a random guess.

Types of Hypothesis

  1. Descriptive Hypothesis: Describes the existence, size, form, or distribution of a variable.
    • Example: "The rate of domestic violence in City A is higher than the national average."
  2. Relational Hypothesis: Describes a relationship between two variables, but does not necessarily imply cause and effect.
    • Example: "There is a positive relationship between poverty and school dropout rates."
  3. Causal Hypothesis: Goes a step further to state that one variable causes a change in another.
    • Example: "Implementing a free midday meal program will cause an increase in student attendance."
  4. Null Hypothesis ($H_0$): A statistical hypothesis that states there is no relationship, no difference, or no effect between the variables being studied. Researchers usually set this up specifically to reject it.
    • Example: "There is no difference in the reading scores of children who attended the after-school program and those who did not."
  5. Alternative Hypothesis ($H_1$): The opposite of the null hypothesis. It is the statement the researcher actually hopes to prove true.
    • Example: "Children who attended the after-school program will have higher reading scores than those who did not."