Data Collection Methods

Cheatsheet Content

### Primary Data - **Definition:** Original data collected directly from first-hand sources for a specific study. It's fresh, original, and unpublished. #### Characteristics - **Originality:** Collected for the first time. - **Specific Purpose:** Tailored to a particular research objective. - **Reliability:** Generally more accurate due to direct collection. - **Time-Consuming & Costly:** Requires significant effort and resources. ### Methods of Collecting Primary Data These methods involve generating new data directly from the source. - **Direct Personal Investigation:** Investigator personally visits respondents for face-to-face interaction and data recording. - **Indirect Oral Investigation:** Data is obtained from individuals informed about the subject, rather than the primary source. - **Through Schedules and Questionnaires:** - **Schedule:** Structured form filled by the investigator during personal visits. - **Questionnaire:** Set of questions sent to respondents to answer and return. - **Local Correspondents Method:** Data collected by local agents or correspondents in different areas. ### Essentials of a Good Questionnaire A well-designed questionnaire ensures accuracy and high response rates. 1. **Clear Objective:** Purpose is well-defined. 2. **Simplicity of Language:** Questions are easy to understand. 3. **Brevity:** Concise and not unnecessarily lengthy. 4. **Logical Order:** Questions arranged systematically. 5. **Specific & Definite:** Clear and unambiguous questions. 6. **Avoid Leading Questions:** Does not influence answers. 7. **Open & Closed Questions:** Balanced mix for detailed and structured responses. 8. **Pre-testing (Pilot Survey):** Tested before final use. 9. **Attractive Layout:** Neat and appealing format. 10. **Respondent Ability:** Matches knowledge and understanding. 11. **Confidentiality:** Assurance of data privacy. 12. **Avoid Sensitive Questions:** Unless essential, avoid personal topics. 13. **Adequate Number:** Enough questions to meet objectives without overburdening. 14. **Proper Instructions:** Clear guidance for answering. 15. **Easy to Code & Tabulate:** Responses facilitate analysis. 16. **Personal Identification:** Included when necessary. 17. **Time Consideration:** Reasonable completion time. ### Secondary Data - **Definition:** Information already collected, processed, and published by others, used for a new study. #### Sources of Secondary Data - **Internal Sources:** Data from within an organization (e.g., company records, reports). - **External Sources:** Data from outside the organization (e.g., government publications, journals, websites). #### Merits of Secondary Data - **Time-Saving:** Readily available. - **Economical:** Less expensive to obtain. - **Convenient:** Easy to access and use. - **Aids Primary Data:** Provides background for new research. - **Large Scope:** Covers wide topics/geographical areas. - **Comparison:** Useful for comparing with past data. - **Forecasting Basis:** Helps predict future trends.