Correct option is A
The correct answer is A and B only.
1. In an independent groups design, selective subject loss occurs when participants drop out of the study at different rates in different experimental conditions.
2. This selective loss is often due to subject characteristics, such as certain traits, preferences, or external factors that make individuals more likely to drop out of a particular group or condition.
3. When subjects are lost differently across conditions, it means that the dropout rate is not uniform, and this selective loss can introduce bias into the study results, potentially skewing the findings.
4. In this case, the subject characteristics influencing subject loss (e.g., motivation, health issues, external life events) are often linked to the individual’s fit within the particular experimental condition.
Information Booster
1. Selective Subject Loss:
1.1 Selective subject loss refers to the situation where participants in a study drop out at different rates across experimental groups or conditions, leading to potential biases in the results.
1.2 This can occur for several reasons, such as personal differences (e.g., health issues, time constraints, or personal preferences), unfamiliarity with the experimental procedures, or negative experiences related to one of the conditions.
1.3 Selective subject loss is particularly problematic in randomized controlled trials (RCTs) and other experimental designs where the goal is to ensure that the groups are as similar as possible at the beginning of the experiment.
2. Impact of Subject Characteristics:
2.1 Subject characteristics can influence the likelihood of participants dropping out of a study. These could include age, socioeconomic status, mental health, or even personality traits like motivation.
2.2 If participants are lost due to these characteristics, it might result in certain groups becoming non-representative of the population, leading to skewed results.
2.3 For example, if a particular group (e.g., a treatment group) has more participants with health problems or personal issues that cause them to drop out, this may lead to an underestimation of the treatment's effectiveness.
3. Why A and B are Correct:
3.1 A (Subjects are lost differently across conditions): This indicates that subject loss occurs in a non-random way, making the groups uneven in terms of characteristics, which can result in biases.
3.2 B (Subject characteristics are responsible for subject loss): This highlights that participants may drop out due to their own individual differences that make them more prone to leaving one condition than another, leading to selective dropout.