Identify the sampling technique used, and discuss potential sources of bias (if any). Explain.
Questioning teachers as they leave a faculty lounge, a researcher asks 45 of them about their teaching styles.

Verified step by step guidance

1. Step 1: Identify the sampling technique used. In this scenario, the researcher is questioning teachers as they leave a faculty lounge. This is an example of convenience sampling, where participants are selected based on their availability and proximity to the researcher.
2. Step 2: Understand the characteristics of convenience sampling. Convenience sampling is a non-probability sampling method, meaning not all members of the population have an equal chance of being selected. It is often used for its ease and speed but may not represent the entire population accurately.
3. Step 3: Discuss potential sources of bias. Convenience sampling can introduce selection bias because the sample may not be representative of the entire population of teachers. For example, teachers who frequent the faculty lounge may have different teaching styles compared to those who do not.
4. Step 4: Consider response bias. Teachers may feel pressured to provide socially desirable answers or may not fully disclose their teaching styles due to the informal nature of the questioning.
5. Step 5: Suggest improvements. To reduce bias, the researcher could use a random sampling technique, such as simple random sampling or stratified sampling, ensuring that all teachers have an equal chance of being selected and that the sample is more representative of the population.

Key Concepts

Sampling Technique

The sampling technique refers to the method used to select individuals from a population for a study. In this case, the researcher is using a convenience sampling technique, as they are questioning teachers who are readily available in the faculty lounge. This method is often easy and quick but may not represent the entire population accurately.

Bias in Sampling

Bias in sampling occurs when certain members of a population are systematically more likely to be selected than others, leading to an unrepresentative sample. In this scenario, the potential bias arises from only sampling teachers who are present in the lounge, which may exclude those who are busy, absent, or prefer not to engage, thus skewing the results.

Generalizability

Generalizability refers to the extent to which findings from a sample can be applied to the broader population. Due to the convenience sampling method used in this study, the results may lack generalizability, as the sample may not reflect the diverse teaching styles of all teachers in the institution, limiting the conclusions that can be drawn.