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Test Statistic
A test statistic is a specialized numerical value computed from sample data specifically to aid in determining the -value during hypothesis testing. It serves as an intermediate step to evaluate the probability of obtaining the observed results if the null hypothesis were true.
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Research Methods in Psychology - 4th American Edition @ KPU
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Factors Determining the p-value
Test Statistic
Misinterpretations of the p-value
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p-hacking
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What does a p value represent in the context of psychological research?
If a psychology researcher calculates a p-value of 0.08, they will typically declare the experimental result to be statistically significant.
A social psychologist is analyzing data from four different studies. Based on the standard thresholds for statistical significance provided in the table, match each study's obtained p value with its correct interpretation.
Misinterpretation of the p Value
Determinants of the Value
A researcher obtains a value of and labels the result 'highly significant' (). According to standard significance thresholds, where and , this labeling is _____.
A cognitive psychologist conducts an experiment on learning styles and calculates a value of . Applying the standard threshold of significance () described in the text, the researcher should declare this result to be statistically significant.
Define what a value represents in the context of an experiment and state the standard threshold for declaring an experimental result to be statistically significant.
Reporting Effect Sizes in Null Hypothesis Significance Testing
Using the convention stated in this question for marking results with asterisks (a cut-off value itself counts as meeting it), match each label with the range of values it marks.
By a common convention in psychology, a result is declared statistically significant when . For a result exactly at this threshold (), results at least as extreme would occur, under the test's model (the null hypothesis plus the test's assumptions), time in how many?
By a common convention in psychology, a result is declared statistically significant when . For a result exactly at this threshold (), if the null hypothesis and the test's assumptions were true, results at least as extreme would occur 1 time in _____.
Arrange the following three values in ascending numerical order, from the smallest (1) to the largest (3).
A psychologist has values from four different studies. Arrange the values in ascending numerical order, from the smallest to the largest. (This orders the numbers only: values from different studies, each calculated under its own model, do not by themselves rank how strong the evidence is.)
A psychology student runs an analysis on their study's data and obtains a value of . Using the common convention of a significance level of (a result is significant when ), what conclusion should the student draw about their experimental result, and why?
Based on the definition of a value and a significance level of set in advance, explain in your own words what it means if, assuming the null hypothesis and the test's assumptions were true, a result at least as extreme as the researchers' would occur less than 1 time in 20, and what this does not establish.
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Distribution of t Scores
Degrees of Freedom
Distribution of Scores
During hypothesis testing, what is the term for the specialized numerical value computed from sample data that serves as an intermediate step to evaluate the probability of obtaining the observed results if the null hypothesis were true?
In the process of hypothesis testing, a test statistic serves as a crucial bridge between raw data and a final decision. Arrange the following steps in the correct logical order to show how a test statistic is used to evaluate a research claim.
A researcher is investigating whether a new meditation app reduces stress levels. Match each element of their statistical analysis to its correct role in the hypothesis testing process.
In psychological research, a test statistic is often conceptualized as a ratio of the 'signal' (the observed effect) to the 'noise' (the random variability or error in the data). If a researcher conducts a study where the 'noise' is significantly reduced through better experimental control while the 'signal' remains the same, the numerical value of the test statistic will ________.
In a peer-review report, a researcher evaluates a study by stating that the test statistic is the final objective measure that represents the probability of the observed data occurring by chance. This evaluation of the test statistic's role is correct.
A social psychologist is developing a novel research paradigm to study 'Interpersonal Synchrony' and needs to design a new test statistic () to evaluate their data. Which of the following procedural blueprints would correctly construct this test statistic so that it can be used to evaluate the probability of obtaining the observed results if the null hypothesis () were true?
Hypothesis Test of the Correlation Coefficient
In the context of hypothesis testing, a test statistic is a specialized numerical value computed from sample data that serves as an intermediate step to determine the -value.
In psychological research, hypothesis testing involves several interconnected components. Match each component to the statement that best describes its role or conceptual relationship to the test statistic.
A developmental psychologist is studying whether children who attend preschool have higher empathy scores than those who do not. After collecting sample data from a group of children, she calculates a raw mean difference in empathy scores. To help determine the -value, she standardizes this result to obtain a value of . In this psychological research design, the computed value of 2.41 is the ____.
A health psychologist is analyzing data from a study comparing stress reduction between a mindfulness group and a control group using an independent-samples -test. Conceptually, a test statistic is a ratio of the 'signal' (the observed difference between group means) to the 'noise' (the standard error, which depends on sample variance and sample size).
Assume a baseline study design yields a positive test statistic of .
Analyze the following four modified versions of this stud