Research Title Formulation and Variable Categorization
- The Term Title: Refers to a heading, label, or tag.
- Function: A title normally describes what the study is all about in specific terms.
- Formulation Readiness: Once a researcher has selected a topic and identified the perspective of interest, the process of formulating a title becomes significantly easier.
Qualities of an Effective Research Title
- Brief and Specific: The title should be concise, ideally falling within the word count of 12±4 words.
- Alignment: It should be consistently in line with the research objectives.
- Clarity: The title must be clear and unambiguous to the reader.
- Variable Relationships: It should reflect a relationship between an Independent Variable (IV) and a Dependent Variable (DV).
- Researchability: The title should portray an issue that is capable of being researched.
- Question Form: Phrasing the title as a direct inquiry.
- Example: "What are the contributing factors to increased rates of child abuse in Chibolyia Township?"
- Active Verb Format: Using an action-oriented description of the study.
- Example: "An analysis of contributing factors to increased rates of child abuse in Chibolyia Township."
- Declarative Statement Form: Presenting the topic as a straightforward statement.
- Example: "Contributing factors to increased rates of child abuse in Chibolyia Township."
- Two-Part Title: Splitting the title into a general focus and a specific investigation or format.
- Example 1: "Child abuse: What are the contributing factors to increased rates of child abuse in Chibolyia Township?"
- Example 2: "Child abuse: An analysis of contributing factors to its increased rates in Chibolyia Township."
- Lack of Specificity: Choosing a title that is too broad or not specific to the study.
- Wordiness: Writing a title that contains excessive or unnecessary words.
- Poor Formulation: Creating titles that are too vague, such as "COVID19 in Zambia."
- Lack of Consistency: This occurs when the title does not tally with other research components such as the study objectives or the problem statement.
Understanding Variables in Research
- Definition of a Variable: A variable is anything that can change or be changed. It is any factor that can be manipulated, controlled for, or measured within an experiment.
- Impact: In a research hypothesis, the researcher posits that a specific variable causes a direct effect on the dependent variable.
Independent and Dependent Variables (IV and DV)
- Independent Variable (IV): This is the variable that influences a particular situation. it is the factor that leads to something or affects another variable.
- Dependent Variable (DV): This is the variable that is affected, influenced, or determined by the Independent Variable (IV).
- Applied Example: In the question "What are the effects of online learning (IV) on academic performance (DV) of UNILUS students?", online learning is the independent factor affecting the academic outcome.
Attributes of Variables
- Constituent Attributes: Every variable possesses various attributes which are specific values or categories that the variable can take.
- Example Variable: Marital Status:
- Single
- Married
- Divorced
- Widowed
- Complicated
- Engaged
- The transcript identifies specific shorthand attributes for Marital Status as: M, D, S, C, S (representing Married, Divorced, Single, Complicated, and Single).