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To make a conclusion based from facts of a smaller sample to the bigger one!!

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What is the strengths and weaknesses of the psychological research method?

Strengths of psychological research methods include the ability to gather empirical data to support theories, establish cause-and-effect relationships, and provide insights into human behavior. However, weaknesses can include issues with generalizability, ethical concerns, and the potential for bias in data collection and interpretation.


What are the disadvantages of using twins studies?

First off, twins are hard to come by. This is especially true of conditions that are already rare, since they do not often have the chance to conduct a twin study due to the low probability of finding an already rare condition in twins. Twin studies are more likely to be case studies, which limit their scope and generalizability. If the twins were raised together, the assumption that similarity in twins is the result of heredity has to compete with the explanation that some similarity is attributable to a common upbringing and not genes alone.


What is a concern of the survey method of research?

One concern of the survey method is response bias, where participants may provide inaccurate or misleading information. Additionally, surveys can be limited in the depth of information they can gather compared to other research methods. Lastly, low response rates can impact the reliability and generalizability of survey findings.


What is considered a limitation of psychological research?

One limitation of psychological research is generalizability, as findings from studies may not always apply to the larger population. Another limitation is the potential for biased results due to researcher subjectivity or participant self-reporting. Additionally, ethical concerns such as informed consent and privacy can also limit the scope of research.


What is a limitation of early psychological research studies?

One limitation of early psychological research studies is that they often lacked diversity in study participants, leading to a lack of generalizability to populations outside of the samples used. Additionally, early studies may have been limited in their methodologies and measurement tools, which could affect the validity and reliability of their findings.

Related Questions

What is the difference between practical generalizability and statistical generalizability?

Statistical: must have random sampling, allows you to generalize to the population from which you randomly selected. Practical: do the results hold for similar individuals? allows you to generalize to similar individuals


What is the major drawback of non-probability sampling compared to probability sampling?

Reduced or limited generalizability


What has the author Pierre Paul William Duez written?

Pierre Paul William Duez has written: 'Testing the generalizability of ecological interface design to computer network monitoring'


What has the author Kurt Kraiger written?

Kurt Kraiger has written: 'Generalizability of walk-through performance tests, job proficiency ratings, and job knowledge tests across eight Air Force specialties' -- subject(s): Job evaluation, Occupational specialties, United States, United States. Air Force 'Generalizability of performance measures across four Air Force specialties' -- subject(s): Performance standards, Job evaluation


When you question whether ancecdotal evidence can be generalized to all people you are applying?

the concept of generalizability, which refers to the extent to which findings or conclusions from a study can be applied to a larger population beyond the sample studied. This is an important consideration in research to determine the external validity of the results.


What does random selection do?

Random selection is a method of choosing items from a population in a way that each item has an equal chance of being selected. It helps to reduce bias and ensure that the sample is representative of the population. This technique is commonly used in research studies to improve the generalizability of findings.


What are threats to external validity?

"A threat to external validity is an explanation of how you might be wrong in making a generalization."[4] Generally, generalizability is limited when the cause (i.e. the independent variable) depends on other factors; therefore, all threats to external validity interact with the independent variable.


What are some common sampling problems that researchers encounter in their studies?

Some common sampling problems that researchers encounter in their studies include selection bias, non-response bias, sampling error, and inadequate sample size. These issues can affect the validity and generalizability of research findings.


What are the potential consequences of underidentification in research studies?

Underidentification in research studies can lead to biased results, inaccurate conclusions, and limited generalizability of findings. It may also result in missed opportunities for understanding the full scope of a problem or phenomenon, and hinder the development of effective interventions or policies.


What is a Sample in sociology?

In sociology, a sample refers to a subset of a larger population that is selected for research and analysis. Samples are used to draw conclusions or make inferences about the larger population. The goal is to ensure that the sample is representative of the population to increase the generalizability of the findings.


What is subject selection?

Subject selection refers to the process of choosing participants or subjects for a research study. This process involves identifying and recruiting individuals who meet the specific criteria of the study in order to best answer the research question. Subject selection is critical for ensuring the validity and generalizability of study findings.


What are the demerits of action research?

Some potential demerits of action research include limited generalizability of findings due to the specific context in which the research takes place, challenges in maintaining objectivity and bias in data collection and analysis, and the time and resources required to engage in the iterative process of action research.