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Example of Descriptive Statistics Showing No Effect
In a correlational study, a scatterplot reveals an indistinct 'cloud' of data points, and the calculated Pearson's is a trivial . These descriptive statistics alone make it clear that the variables are essentially unrelated, even though inferential statistics are still required for the formal research report.
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Research Methods in Psychology - 4th American Edition @ KPU
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Example of Descriptive Statistics Showing an Effect
Example of Descriptive Statistics Showing No Effect
Inferential Statistics
A researcher conducts a study comparing the test scores of students who studied using flashcards versus those who used re-reading. After collecting data, she calculates the mean and standard deviation for each group and plots a histogram before running any significance tests. Why is this preliminary step valuable, even though inferential statistics are still required for a formal report?
A researcher is reviewing their data summaries before conducting inferential tests. Match each specific descriptive outcome with the primary insight it provides about the study's results.
A psychology researcher has finished collecting data for a study on how a mindfulness intervention affects stress levels. To reach a sound descriptive conclusion about 'what happened' in the study before proceeding to formal reporting, arrange these analytical steps in the correct logical sequence.
Because inferential statistics are the standard for formal reporting in psychology, a researcher is committing a methodological error if they form a preliminary judgment about a treatment's effectiveness based solely on descriptive statistics (such as means, ) before conducting formal significance tests ().
As a lead researcher, you are developing a new training protocol to ensure that junior analysts 'see what happened' in their data before jumping to significance testing. For a study comparing the effects of two different meditation techniques on heart rate, which of the following descriptive summary designs should your protocol require them to formulate?
Before conducting inferential statistics, what is the primary reason researchers must thoroughly understand their data at a descriptive level?
Before conducting inferential statistics, researchers must thoroughly understand their data at a _____ level to clearly see 'what happened' in their study.
Learn After
In a correlational study, what do a scatterplot revealing an indistinct 'cloud' of data points and a calculated Pearson's r of -.02 indicate?
In a correlational study, a scatterplot that resembles an indistinct 'cloud' of points and a calculated Pearson's r of -.02 provide descriptive evidence that the variables are essentially unrelated.
A researcher is analyzing the descriptive statistics from several correlational studies in psychology. Match each set of results with the most appropriate conclusion regarding the relationship between the variables.
A psychology researcher is investigating the relationship between personality traits and reaction times. After observing that the variables appear to have 'no effect' on each other, they must organize their evidence chain for a report. Arrange the following components of their analysis in the correct logical order, starting from the initial visual discovery of the data pattern.
You are drafting a 'synthetic results' section for a laboratory simulation designed to teach psychology students how to identify the absence of a relationship between two variables. Which set of visual and numerical parameters should you formulate to represent a study where the variables are essentially unrelated?
In a formal research report, inferential statistics are still required even if descriptive statistics (such as a scatterplot 'cloud' and a Pearson's of ) indicate that the variables are essentially unrelated.
In a correlational study, researchers utilize specific descriptive indicators to identify when two variables are essentially unrelated. Match each component of this 'no effect' scenario with its corresponding descriptive or procedural description.
A researcher argues that a Pearson's of and a scatterplot showing an indistinct 'cloud' of data points provide evidence for a 'subtle negative link' between two variables. When evaluating the descriptive validity of this claim, a scientist would conclude that the variables are actually essentially _____.
When analyzing a Pearson's of from a correlational study alongside a scatterplot showing an indistinct 'cloud' of data points, a researcher determines that the _____ of the coefficient—not its sign—is the critical feature that reveals the variables are essentially unrelated.
A peer reviewer is judging a results section in which the author reports a scatterplot showing an indistinct 'cloud' of data points and a Pearson's of , then concludes the two variables are 'essentially unrelated.' Arrange the following evaluative steps in the order the reviewer should apply them to assess whether that conclusion is well-supported.