Learn Before
Sampling Error
Sampling error refers to the natural, random variability that occurs in a statistic from one sample to another, even when all samples are randomly drawn from the same population. This random variability means that a sample statistic is rarely a perfect estimate of its corresponding population parameter, and it does not imply that a mistake was made during the research process.
0
1
Tags
KPU
Research Methods in Psychology - 4th American Edition @ KPU
Related
Sampling Error
Example of Sample Statistics and Population Parameters
Which of the following best defines a population parameter in psychology research?
In a study on workplace stress, the average stress level calculated from 200 surveyed employees is a population parameter for all employees in that industry.
In psychological research, population parameters represent numerical characteristics of the entire group of interest. Match each research objective with the specific type of population parameter that would describe that whole-group characteristic.
In psychological research, different numerical values provide varying levels of certainty about a whole group. Analyze the following data sources and arrange them in order from the value that would fluctuate the most if you repeated the study with new people, to the value that is the constant, true measure of the whole group (the population parameter).
A researcher surveys 150 university students and calculates a mean anxiety score of 42.3 for that group. The researcher's actual goal is to describe the anxiety level of all students enrolled at the university. Which of the following correctly identifies the population parameter in this study?
A numerical value that represents a specific characteristic of an entire population is called a population _____.
A researcher conducts a study on a group of students and finds a correlation of . They then publish a report claiming that is the 'actual, fixed correlation' for every student in the university system. When evaluating this report, a methodologist would argue that the researcher is incorrectly presenting a sample statistic as if it were a _____, which is the true, fixed numerical characteristic of the entire university population.
A researcher wants to study the relationship between sleep deprivation and cognitive performance in all working nurses in a state. Because they cannot test every nurse, they measure 150 nurses. If the researcher finds that the correlation in their sample is and uses this to estimate the correlation for the entire population of nurses in the state, the correlation of is a sample statistic, while the unknown true correlation of all nurses in the state is the population parameter.
A team of psychologists is researching social media usage patterns. Analyze the components of their research design and match each specific description to its corresponding concept.
Evaluate the methodological workflow for using sample data to make inferences about a population. Arrange the steps in the correct chronological order from the initial phase of identifying the target group to the final inference.
Learn After
Purpose of Null Hypothesis Testing
Two Interpretations of a Statistical Relationship in a Sample
Example of Sampling Error
What does the term 'sampling error' refer to in the context of psychological research?
In a well-designed study, the fact that a sample result differs slightly from the true population value is typically due to sampling error rather than a mistake in the research process.
A social psychologist randomly selects 50 participants from a local community to measure their average social anxiety score and gets a result of 15. A second psychologist selects a different random sample of 50 people from the same community and gets a score of 17. The fact that these two averages are slightly different purely due to random chance is an example of ______.
A social psychologist studying stress in nurses knows the true average stress score for all nurses in the state is 45. In one study of 50 nurses, the average is 47. In another study of 50 nurses, the average is 43. Match each element of this research scenario to the statistical concept it represents.
A researcher finds that the average score in their random sample is , while the known population parameter for that group is . Arrange the following interpretations of this discrepancy from the most scientifically accurate (1) to the least scientifically accurate (4) based on the concept of sampling error.
Which term refers to the natural, random variability that occurs in a statistic from one sample to another, even when all samples are randomly drawn from the same population?
A researcher draws two random samples (Study A and Study B) from the same population and calculates their averages. Arrange the following steps to logically explain the difference between these averages using the concept of sampling error.
A developmental psychologist randomly draws two different samples of 50 children from the same local school district to measure their average screen time. Sample 1 has a mean screen time of hours per day, while Sample 2 has a mean of hours per day. Because these sample statistics are different and do not perfectly estimate the population parameter, the psychologist can conclude that a procedural mistake must have been made during the data collection of at least one sample.
A researcher is analyzing why the average anxiety scores differ between three randomly selected samples of college students drawn from the same campus population. Match each concept to its correct description in this research context.
A research evaluator reviews a report where two psychologists drew different random samples from the same population and got average scores of and , respectively. The author of the report concludes that one of the psychologists must have made an error in data collection. The evaluator should judge this conclusion as incorrect because the difference between the sample statistics is likely due to _____, which is a natural and expected occurrence that does not imply a research mistake.