Learn Before
Outlier
An outlier is an extreme score that falls significantly above or below the rest of the scores within a distribution. While these extreme values can represent genuine cases on the variable being measured—such as a single clinically depressed individual in an otherwise happy sample—they can also result from equipment malfunctions, participant misunderstandings, or researcher errors.
0
1
Contributors are:
Who are from:
Tags
Data Science
KPU
Research Methods in Psychology - 4th American Edition @ KPU
D2L
Dive into Deep Learning @ D2L
Related
Level of Measurement
Independence
Normal Distribution
Outlier
Frequency Table
Outlier
Unimodal Distribution
Skewed Distribution
Examples of a Variable Distribution
Distribution Shape
Percentile Rank
Measures of Central Tendency
Measures of Dispersion
What does the distribution of a variable describe in a dataset?
Match each term to the description that best explains its role in identifying how data is organized and spread within a dataset.
A psychologist collects 'Life Satisfaction' scores from a group of participants and notes that the scores are spread across all levels of a 1–7 scale. By creating a report that shows how many participants fall into each of these score levels, the psychologist is describing the distribution of that variable.
A psychologist is preparing to report the results of a 'Phobia Severity' study. Arrange the following steps in the logical order of analysis required to describe the distribution of the scores, from the initial setup to the final descriptive summary.
A psychologist is critiquing a research report that only lists basic summary statistics for a dataset. To judge the overall pattern and representativeness of the results, the psychologist must evaluate the ______, which describes how individual scores are spread across all levels of the measurement scale.
A researcher is designing a computer simulation for a study on 'Leadership Styles' and needs to create a Variable Distribution that clearly separates participants into two distinct groups (e.g., 'Highly Directive' and 'Highly Laissez-faire') with almost no one in between. Which strategy for spreading individual scores across the categories of this variable would best create this specific distribution?
The distribution of a variable describes only the average or central score within a dataset, rather than how all individual scores are spread across different levels or categories of that variable.
Learn After
Excluding Outliers
Handling Valid Extreme Outliers
Example of an Outlier
Sensitivity of the Mean to Outliers
Defining Outliers using z Scores
Reaction Time Outlier Example
Impact of Outliers on the Range
Identifying Outliers Using z Scores
Handling Outliers
What term is used to describe an extreme score that falls significantly above or below the rest of the scores within a distribution?
In psychological research, an outlier in a dataset always indicates that an error occurred during data collection, such as an equipment malfunction or participant misunderstanding.
In psychological research, outliers can arise from various sources. Match each research scenario with the most likely reason for the extreme score described.
A researcher identifies a score in a dataset that falls significantly below the rest of the distribution. Arrange the following steps in the logical analytical sequence used to investigate and address this extreme value.
You are constructing a research protocol for a study on the cognitive effects of extreme stress. To ensure that your final dataset can systematically distinguish between genuine cases of 'stress resilience' (valid outliers) and 'task confusion' (measurement errors), which design element should you integrate into your data-collection phase?
Sexual Partners Survey Outlier Example
Outlier in Beck Depression Inventory Scores
A researcher is evaluating a dataset where a single participant's score is , while all other scores are between and . After confirming the participant understood the task perfectly and no errors occurred, the researcher decides to retain the score. This decision reflects a judgment that the extreme value is a(n) _____ which, despite its potential to skew the mean, represents a genuine and valid case within the study.
A researcher measures anxiety in 50 participants and finds that 49 scores fall between 20 and 45, but one participant scores 95. This extreme value, which may reflect a genuinely anxious individual or a data collection error, is called a(n) _____.
A researcher administering a depression inventory notices one participant scored far higher than the rest of the sample. If the researcher confirms this participant is indeed clinically depressed and no data entry or equipment errors occurred, this extreme score is no longer considered an outlier.
Match each description of a research scenario that produces an extreme score with its corresponding source of outlier.
When conducting data cleaning on a newly collected psychological dataset, order the stages a researcher should follow to systematically identify and categorize an extreme score.