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Recommended textbook solutions Myers' Psychology for AP2nd EditionDavid G Myers 900 solutions Consumer Behavior: Buying, Having, Being13th EditionMichael R Solomon 449 solutions HDEV56th EditionSpencer A. Rathus 380 solutions Social Psychology10th EditionElliot Aronson, Robin M. Akert, Samuel R. Sommers, Timothy D. Wilson 525 solutions What Is a Representative Sample?A representative sample is a subset of a population that seeks to accurately reflect the characteristics of the larger group. For example, a classroom of 30 students with 15 males and 15 females could generate a representative sample that might include six students: three males and three females. Samples are useful in statistical analysis when population sizes are large because they contain smaller, manageable versions of the larger group. Representative SampleKey Takeaways
Understanding Representative SampleSampling is used in statistical analysis methodologies to gain insights and observations about a population group. Statisticians can use a variety of sampling methods to build samples that seek to meet the goals of their research studies. Representative samples are one type of sampling method. This method uses stratified random sampling to help identify its components. Other methods can include random sampling and systematic sampling. A representative sample seeks to choose components that match with key characteristics in the entire population being examined. Statisticians can choose the representative characteristics that they feel best meet their research goals. Typically, representative sample characteristics are focused on demographic categories. Some examples of key characteristics can include sex, age, education level, socioeconomic status, and marital status. Generally, the larger the population being examined, the more characteristics that may arise for consideration. Types of Sampling MethodsChoosing a sampling method can depend on a variety of factors. Representative samples are usually an ideal choice for sampling analysis because they are expected to yield insights and observations that closely align with the entire population group. When a sample is not representative, it can be known as a random sample. While random sampling is a simplified sampling approach, it comes with a higher risk of sampling error which can potentially lead to incorrect results or strategies that can be costly. Random sampling can choose its components completely at random, such as choosing names randomly from a list. Using the classroom example again, a random sample could include six male students. Systematic sampling is another type of sampling method that seeks to systemize its components. This type of sampling may include choosing every fifth person from a population list to gather a sample. While this method takes a systematic approach, it is still likely to result in a random sample. Stratified Random SamplingStratified random sampling can be an important part of the process in creating a representative sample. Stratified random sampling examines the characteristics of a population group and breaks down the population into what is known as strata. Dividing out the population by strata helps an analyst to easily choose the appropriate number of individuals from each stratum based on proportions of the population. While this method is more time consuming—and often more costly as it requires more upfront information—the information yielded is typically of higher quality. Special ConsiderationsA representative sample is generally expected to yield the best collection of results. Representative samples are known for collecting results, insights, and observations that can be confidently relied on as a representation of the larger population being studied. As such, representative sampling is typically the best method for marketing or psychology studies. While representative samples are often the sampling method of choice, they do have some barriers. Oftentimes, it is impractical in terms of time, budget, and effort to collect the data needed to build a representative sample. Using stratified random sampling, researchers must identify characteristics, divide the population into strata, and proportionally choose individuals for the representative sample. In general, the larger the population target to be studied the more difficult representative sampling can be. This method can be especially difficult for an extremely large population such as an entire country or race. When dealing with large populations it can also be difficult to obtain the desired members for participation. For example, individuals who are too busy to participate will be under-represented in the representative sample. Understanding the pros and cons of both representative sampling and random sampling can help researchers select the best approach for their specific study. What does a representative sample reflect?A representative sample is a subset of a population that seeks to accurately reflect the characteristics of the larger group. For example, a classroom of 30 students with 15 males and 15 females could generate a representative sample that might include six students: three males and three females.
What is a representative sample in psychology?A representative sample is a group that closely matches the characteristics of its population as a whole. In other words, the sample is a fairly accurate reflection of the population from which the sample is drawn.
What is a representative sample quizlet?Representative sample. A sample having essentially the same characteristics as the population. Haphazard selection or a random-based selection method can be expected to produce a sample that is representative of the population. Route.
Are larger samples more representative?Your target sample size is how many people you need to reach to derive accurate insights from your study. A larger sample size should hypothetically lead to more accurate or representative results, but when it comes to surveying large populations, bigger isn't always better.
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A representative sample is one that accurately reflects a larger
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