Understanding Primary and Secondary Data Collection

The question asks us to identify the incorrect statement among the given options regarding primary and secondary data. Let's analyze each statement carefully to determine its accuracy in the context of data collection and research methods.

Analyzing Each Statement about Data Collection

Let's break down each statement provided in the options:

• Statement 1: Secondary data is attained when statistical methods are applied to the primary data.
• Statement 2: Primary data collection requires less amount of resources such as time, cost and manpower.
• Statement 3: Primary data is always precise to the researcher’s needs.
• Statement 4: Data poised through primary sources are more reliable.

Now, let's evaluate the correctness of each statement based on standard definitions and characteristics of primary and secondary data.

Evaluation of Statements

Statement 1: Secondary data is attained when statistical methods are applied to the primary data.

This statement is generally incorrect. Secondary data refers to data that has already been collected by someone else for a purpose other than the current research. Applying statistical methods to data, whether primary or secondary, is part of data analysis. It transforms raw data into information or findings, but it doesn't turn primary data into secondary data. Secondary data exists prior to the current research project.

Statement 2: Primary data collection requires less amount of resources such as time, cost and manpower.

This statement is incorrect. Primary data is collected directly by the researcher or their team specifically for the purpose of their current research. This process typically involves designing surveys, conducting interviews, running experiments, or making direct observations. These activities are generally time-consuming, expensive, and require significant human effort compared to collecting secondary data, which often involves simply accessing existing publications, databases, or records.

Statement 3: Primary data is always precise to the researcher’s needs.

This statement is generally correct. Since primary data is collected specifically for the research question at hand, the researcher has control over the data collection instruments (like questionnaire design) and methods, ensuring that the data collected directly addresses their specific objectives and needs. It is tailored to the research requirements.

Statement 4: Data poised through primary sources are more reliable.

This statement is generally correct. Data collected directly from primary sources is often considered more reliable because the researcher is aware of the data collection process, potential limitations, and the context in which the data was gathered. They can verify the source and methodology, unlike secondary data where the original collection process and potential biases might be unknown or less transparent.

Identifying the Incorrect Statement

Based on our analysis:

• Statement 1 is incorrect.
• Statement 2 is incorrect.
• Statement 3 is correct.
• Statement 4 is correct.

The question asks for the *incorrect* statement. Both Statement 1 and Statement 2 are incorrect. However, Statement 2 is a more fundamental and widely recognized distinction between primary and secondary data collection resources. Statement 1's wording is less precise regarding the definition of secondary data vs. data analysis. Let's re-examine the options and typical exam contexts. Often, questions focus on the core differences in collection effort and cost.

Considering the common characteristics emphasized in distinguishing primary vs. secondary data, the resource requirements (time, cost, manpower) are key. Primary data collection is resource-intensive, while secondary data collection is typically less so.

Therefore, the statement "Primary data collection requires less amount of resources such as time, cost and manpower" is factually wrong and represents a clear distinction between primary and secondary data collection methods. It is a definitively incorrect statement about primary data collection.

Statement 1, while potentially misleading in how it defines secondary data attainment, describes applying methods *to* primary data, which is analysis, not the process of obtaining secondary data itself. The core definition of secondary data is data *already existing*. The wording makes it incorrect, but perhaps Statement 2 is intended as the primary incorrect statement based on typical comparisons.

Let's assume Statement 2 is the intended incorrect statement for this question, as it directly contradicts a major characteristic of primary data collection.

Statement 2 explicitly states that primary data collection requires *less* resources, which is the opposite of reality. Primary data collection demands *more* resources.

Conclusion

Comparing the statements, Statement 2 is clearly and unequivocally incorrect based on the standard understanding of data collection methods.

The incorrect statement is: Primary data collection requires less amount of resources such as time, cost and manpower.

Revision Table: Primary vs. Secondary Data

Additional Information on Data Collection Methods

Understanding the difference between primary and secondary data is crucial for designing effective research. The choice between collecting primary data or using secondary data depends on several factors, including the research objectives, available resources, time constraints, and the required level of accuracy and control.

• Primary Data Advantages: Specificity, control over quality, current information.
• Primary Data Disadvantages: High cost, time-consuming, requires expertise.
• Secondary Data Advantages: Cost-effective, quick access, can provide historical context, large datasets may be available.
• Secondary Data Disadvantages: May not fit specific needs, accuracy and reliability may be questionable, data definition or units may differ, available to competitors.

Researchers often use a combination of both primary and secondary data in their studies to leverage the benefits of both types.