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Example of Non-Causal Statistical Relationship: Verbal and Mathematical Intelligence
A concrete example of investigating a non-causal statistical relationship is asking whether a correlation exists between verbal intelligence and mathematical intelligence. This research question necessitates a non-experimental approach because it seeks only to measure and determine if two naturally occurring variables are statistically associated, without attempting to manipulate an independent variable or establish that one form of intelligence causes changes in the other.
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Research Methods in Psychology - 4th American Edition @ KPU
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Example of Non-Causal Statistical Relationship: Verbal and Mathematical Intelligence
When investigating a non-causal statistical relationship in a study, what is the primary goal of the researchers?
If a researcher intends to study a statistical relationship that is inherently non-causal, they should adopt a non-experimental design to measure the variables as they naturally exist.
A team of psychologists is conducting a non-experimental study to explore various psychological phenomena. Match each specific study scenario to the aspect of investigating a non-causal statistical relationship it represents.
A psychologist is investigating the relationship between 'grit' (perseverance) and 'academic performance.' Arrange the following steps in the correct logical order for a researcher analyzing this as an inherently non-causal statistical relationship.
When a research question involves a statistical relationship that is inherently non-causal, what is the correct way for the researcher to handle the variables of interest?
Match each component of investigating an inherently non-causal statistical relationship to its correct description according to the non-experimental approach.
A peer reviewer evaluates a research draft concluding that 'higher levels of optimism directly lead to longer life spans' based on a correlational survey. The reviewer determines this conclusion is invalid because the study design is restricted to a(n) _____ statistical relationship, where the researcher must observe variables as they naturally exist rather than asserting that one variable directly causes a change in the other.
Dr. Aris is studying the relationship between students' verbal intelligence and mathematical intelligence. If Dr. Aris administers intelligence tests to students to measure these variables as they naturally exist without manipulating them, they are correctly applying a non-experimental approach for a non-causal statistical relationship.
A researcher discovers a strong statistical correlation between students' verbal intelligence scores and mathematical intelligence scores. The researcher is prohibited from concluding that higher verbal intelligence directly leads to higher mathematical intelligence because this relationship is inherently _____.
Evaluate the process of researching the correlation between verbal and mathematical intelligence. Order the steps from conceptualization to the final reporting of a study investigating an inherently non-causal relationship.
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A researcher conducts a study to determine if students with high verbal intelligence scores also tend to have high mathematical intelligence scores. Why is this research considered a study of a non-causal statistical relationship?
A psychologist is investigating the relationship between verbal intelligence and mathematical intelligence using a non-experimental design. Match each aspect of this research process with the reason it characterizes a non-causal statistical relationship study.
Arrange the logical steps a researcher must follow to analyze and categorize the relationship between verbal and mathematical intelligence as a non-causal statistical relationship.
A researcher discovers a strong statistical correlation between verbal intelligence and mathematical intelligence (). The researcher concludes: 'Since these forms of intelligence are significantly related, we can be confident that focused vocabulary training will directly lead to higher scores on calculus exams.' This conclusion represents a valid scientific evaluation of a study investigating naturally occurring variables.
When a researcher investigates the correlation between verbal and mathematical intelligence by measuring naturally occurring variables without any manipulation, they are studying which of the following?
In a study investigating the non-causal statistical relationship between verbal intelligence and mathematical intelligence, the researcher should manipulate the level of verbal intelligence to determine its effect on mathematical performance.
A researcher wants to determine whether scores on a verbal intelligence test are statistically associated with scores on a mathematical intelligence test, without manipulating either variable. Because the researcher is measuring naturally occurring variables rather than establishing causation, this research question calls for a _____ approach.
A psychologist decides to study whether verbal intelligence and mathematical intelligence are related by collecting existing test scores from a large sample of undergraduates without altering either variable. Match each research concept to its correct role or meaning within this specific study.
A researcher measures verbal intelligence and mathematical intelligence scores from 200 students without altering either variable. When breaking down why a causal conclusion is unwarranted, a key reason is that the design includes no _____ of an independent variable, which means third-variable explanations cannot be ruled out and the study can only establish a statistical association between the two constructs.
A student researcher reports: 'I found r = .68 between verbal and mathematical intelligence scores. Because this correlation is strong, verbal intelligence must be causing improvements in mathematical intelligence.' Arrange the evaluative steps a critical reviewer should apply, in the correct order, to judge whether this conclusion is justified.
Based on the provided text, why does investigating the correlation between verbal intelligence and mathematical intelligence require a non-experimental approach? Identify the primary goals of this research question and what the researcher avoids doing.
Based on the provided text's definition of non-causal statistical relationships, explain why Sarah's study is classified as non-experimental and why she cannot use her results to conclude that high verbal intelligence causes high mathematical intelligence.
Suppose a researcher wants to apply a non-experimental design to study the relationship between verbal intelligence and mathematical intelligence. What specific action must they perform regarding the variables, and what must they avoid doing?