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Visual Example of Positive Correlation: Height and Weight
A scatterplot illustrating a positive correlation, such as the relationship between weight and height, displays data points that roughly form an upward-sloping line from the bottom left to the top right. This visual pattern indicates that as one variable (weight) increases, the other variable (height) also tends to increase.
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Ch.2 Psychological Research - Psychology @ OpenStax
Psychology @ OpenStax
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OpenStax Psychology (2nd ed.) Textbook
Psychology
Social Science
Empirical Science
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Line of Best Fit
Visual Example of Positive Correlation: Height and Weight
Visual Example of Negative Correlation: Tiredness and Sleep
Visual Example of No Correlation: Sleep and Shoe Size
Example of Scatterplots for Pearson's r Values
Formatting Axes for Conceptually Similar Variables
Displaying Overlapping Points in Scatterplots
Example of an APA-Style Scatterplot
What is the primary purpose of using a scatterplot in psychological research?
A researcher measures both daily screen time (in hours) and self-reported anxiety (on a 1–50 scale) for 80 participants and plots each participant's pair of scores on a graph, with screen time on the x-axis and anxiety on the y-axis. To show the overall pattern, the researcher connects all 80 data points with lines from left to right. This is a correct way to construct a scatterplot.
A researcher is studying the relationship between 'Weekly Exercise Hours' (ranging from 0 to 20) and 'Life Satisfaction Score' (on a 1–100 scale). Arrange the steps in the correct order to construct a scatterplot for this research data.
A psychology researcher is analyzing data from a study on 'Hours of Sleep' and 'Cognitive Test Scores.' They create a scatterplot to visualize the results. Match each feature of the scatterplot to the specific analytical function it serves in representing this research data.
A researcher is designing a study to examine the correlation between 'Daily Caffeine Consumption' (measured in milligrams) and 'Test Anxiety Score' (on a scale of to ) for participants. The caffeine data is highly precise, resulting in over distinct levels. To create a visual representation that displays the relationship between these two variables while ensuring each participant's scores remain standalone and the independence of data points is maintained, which visual design should the researcher implement?
In a scatterplot, each individual data point represents a single participant's scores across the two variables.
A researcher is evaluating the best way to graph a correlation between two quantitative variables where the independent variable has a large number of distinct levels. They conclude that a scatterplot is the most valid choice because it represents each participant's scores as a standalone point at the intersection of the -axis and -axis without implying a sequential or functional connection between independent participants. This judgment is based on the defining rule that, unlike line graphs, the points in a scatterplot are not _____.
A researcher is studying the relationship between daily caffeine intake (in mg, with many distinct levels) and alertness scores (from 1 to 10) in college students. They decide to create a scatterplot to display the correlation. Match the structural components of the scatterplot to their corresponding details in this research scenario.
A psychology instructor is showing students how to differentiate between a scatterplot and a line graph. When plotting a correlation between two quantitative variables, the instructor notes that the most crucial visual distinction is that the data points in a scatterplot must _____ rather than being connected to one another by lines.
A research reviewer is evaluating a submitted manuscript to ensure that the scatterplot used to display the correlation between two quantitative variables is constructed correctly. Order the steps the reviewer should take to evaluate the graph, from initial variable suitability to the final visual format of the points.
Visualizing Correlation Strength in Scatterplots
In a scatterplot, what does each individual data point represent?
When visualizing the correlation between participants' anxiety levels and their test performance, a researcher should connect the individual data points in the scatterplot with a continuous line to effectively display the relationship.
A psychologist is creating a scatterplot to display the relationship between the daily dosage of a new anxiety medication (in milligrams) and patients' reported anxiety severity scores. Match each scatterplot component to its correct representation or role in this specific study.
A researcher is utilizing a scatterplot to analyze the relationship between an independent variable (hours of sleep) and a dependent variable (memory test scores). Deconstruct the logical process of mapping and interpreting this data by arranging the following structural steps in the correct sequence.
A peer reviewer is critiquing a study that incorrectly uses a line graph to show the relationship between exact hours of sleep (the independent variable on the -axis, which has many distinct levels) and memory scores. The reviewer argues that connecting the individual data points is misleading because the participants are independent. To properly evaluate and display this correlation without falsely implying continuity, the reviewer should recommend replacing the line graph with a ____.
Scatterplots are particularly useful when the variable plotted on the -axis has which of the following characteristics?
Match each conceptual element of correlational research data to its structural representation within a scatterplot.
A clinical psychologist is investigating the effects of two categorical therapy methods (Cognitive Behavioral Therapy versus Psychoanalysis) on patients' quantitative anxiety scores. To best visualize this relationship, the psychologist should map the therapy method to the -axis and construct a scatterplot so that each patient's data point stands alone.
A psychologist is analyzing how to visualize the correlation between exact milligrams of caffeine consumed (the independent variable, ranging continuously from 0 to 400) and participants' reaction times in milliseconds. Based on the structural properties of data graphics, why is a scatterplot analytically more appropriate for this dataset than a line graph?
A peer reviewer is evaluating a manuscript that investigates the correlation between the exact number of hours students spent studying for an exam (ranging continuously from 0 to 40 hours) and their final exam scores. The authors displayed the data using a graph where individual students' scores are plotted at the intersection of their study hours on the -axis and exam grades on the -axis, with a continuous line connecting these individual points. Based on the principles of displaying relationships between quantitative variables, how should the reviewer evaluate the authors' graphical method?
Examples of Positive Correlation
Visual Example of Positive Correlation: Height and Weight
A psychologist conducts a study and finds that as the number of hours people spend on social media per week increases, their self-reported feelings of loneliness also tend to increase. Which of the following terms best describes the relationship found between these two variables?
Example of Positive Correlation: Height and Weight
Example of a Positive Correlation: Stress and Physical Symptoms
Example of a Positive Relationship: Rosenberg Self-Esteem Scale Scores
In psychological research, how is a positive relationship between two variables defined?
In a positive relationship between two variables, such as 'test anxiety' and 'heart rate,' a participant who scores lower than average on the first variable would generally be expected to also score lower than average on the second variable.
Researchers have identified a positive relationship between 'Self-Esteem' and 'Academic Achievement.' Match each specific research finding or data visualization from the study to the core characteristic of a positive relationship it demonstrates.
A researcher identifies a positive relationship between 'Level of Social Support' and 'Post-Traumatic Growth.' Sequence the following participant descriptions to reflect their correct relative positions on a scatterplot, starting with the point that would be located in the lower-left quadrant and ending with the point in the upper-right quadrant.
You are developing a research protocol and need to generate a hypothetical data set for three participants (P1, P2, P3) that would accurately illustrate a positive relationship between 'Sense of Belonging' () and 'Academic Motivation' (). Which of the following sets of operationalized values (, ) should you create to represent this specific trend?
In a positive relationship, higher scores on one variable tend to be associated with lower scores on another variable.
A researcher is reviewing a peer's report which claims: 'Because participants with the lowest levels of Social Support also demonstrated the lowest levels of Well-being, the two variables share a negative relationship.' Based on the standard criteria for defining the direction of co-variation, the researcher should evaluate this claim as incorrect because the described pattern actually represents a(n) _____ relationship.
A psychology student is graphing data from three different studies to identify visual trends. Match each research scenario to its corresponding scatterplot pattern or definition of a positive relationship.
A researcher is analyzing a scatterplot of Rosenberg Self-Esteem Scale scores and subjective well-being. They note that the data points generally trend upward from the lower left to the upper right, meaning that participants with higher self-esteem scores also tend to report higher well-being. To accurately describe the direction of this statistical relationship, the researcher should conclude that there is a _____ relationship between self-esteem and well-being.
A researcher is evaluating a draft of a scatterplot for a study showing a positive relationship between height () and weight (). To verify that the data points are plotted correctly along the positive trend, the researcher must check the positions of four participants (A, B, C, D). Evaluate the participants' scores and order them as they should appear on the scatterplot, starting from the lower-left corner (1) and moving to the upper-right corner (4).
Define a positive relationship between two variables and describe how this relationship is visually represented on a scatterplot.
Diagnose the type of correlation between height and weight in this study, and explain how the data points would appear on the researchers' scatterplot based on this finding.
A researcher hypothesizes a positive relationship between scores on the Rosenberg Self-Esteem Scale () and positive peer evaluations (). Briefly describe how the researcher should draw the general trend of the data points on a scatterplot to accurately illustrate this predicted relationship.
In psychological research, what does it mean when there is a positive relationship (or positive correlation) between two quantitative variables?
In psychological research, a positive relationship between two variables means that lower scores on one variable tend to be associated with lower scores on the other variable.
A developmental psychologist is studying the relationship between the number of hours parents spend reading to their toddlers each week and the toddlers' vocabulary size (measured by the number of words known). The researcher finds that toddlers whose parents read to them for more hours tend to have larger vocabularies, whereas toddlers whose parents read to them for fewer hours tend to have smaller vocabularies. This pattern of results demonstrates a(n) ____ relationship between reading hours and vocabulary size.
In psychological research, a positive relationship (or positive correlation) between two quantitative variables can be analyzed and understood at different levels: the visual representation, the general variable co-variation, and the individual participant score pattern. Match each of these analytical perspectives with its corresponding operational description.
A research psychologist is evaluating four different scatterplots representing pilot data for a new study on cognitive load and performance. To determine which pilot studies show evidence of the hypothesized positive relationship, the researcher decides to rank the graphs.
Arrange these scatterplot descriptions in order of how strongly and clearly they demonstrate a positive relationship, starting from the strongest/most clear positive relationship (Order 1) to the least positive relationship (Order 4).
On a scatterplot, a positive relationship between two quantitative variables is visually represented by data points that generally trend downward from the upper left to the lower right of the graph.
In psychological research, when two quantitative variables are said to have a positive relationship, how is this co-variation correctly understood?
A team of researchers at KPU is planning four separate correlational studies to investigate hypotheses about positive relationships. To prepare for their data analysis, they need to define what a positive relationship would concretely look like for each study's specific variables.
Match each research scenario with the specific pattern of scores that would demonstrate a positive relationship.
An undergraduate student at KPU is analyzing pilot data from four participants to determine if there is a positive relationship between daily caffeine intake (in milligrams, mg) and systolic blood pressure (in mmHg). The raw data collected is as follows:
- Participant A: caffeine level of mg, blood pressure of mmHg
- Participant B: caffeine level of mg, blood pressure of mmHg
- Participant C: caffeine level of mg, blood pressure of mmHg
- Participant D: caffeine level of mg, blood pressure of mmHg
To analyze how these variables co-vary, the student decides to arrange the participants in order of their caffeine intake, from lowest to highest, to see if their blood pressure measurements follow a corresponding systematic pattern.
Arrange the participants in order from lowest caffeine intake (Order 1) to highest caffeine intake (Order 4) to complete this analysis.