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Example of Sample Size and Relationship Strength
Consider two hypothetical studies comparing men and women. In the first, a large sample of women and men yields a strong relationship of Cohen's . Such a strong result in a large sample is highly unlikely if the null hypothesis were true, meaning the null hypothesis would be rejected. In the second, a small sample of women and men yields a weak relationship of Cohen's . This weak result in a small sample is quite likely to occur by chance, so the null hypothesis would be retained.
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Research Methods in Psychology - 4th American Edition @ KPU
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Probabilistic Nature of Statistics
Trade-off Between Sample Size and Relationship Strength
Practical Significance
In the context of inferential statistics, what does it mean when a research finding is described as statistically significant?
In psychological research, if a finding is described as statistically significant, it implies that the observed effect is likely to be a genuine phenomenon rather than a product of random variation.
A psychological researcher is evaluating the results of several different studies. Match each specific research scenario with the correct statistical interpretation regarding significance and the nature of the findings.
A psychologist is evaluating whether a new study on social interaction reveals a real phenomenon or just a fluke. Arrange the logical stages of the researcher's analytical process to correctly conclude that a finding is statistically significant.
Match each term related to the interpretation of research results with its correct defining characteristic.
Example of Sample Size and Relationship Strength
A researcher reports that a new study-skills training program led to a statistically significant increase in exam scores compared to a control group. What does it mean for this finding to be 'statistically significant'?
A researcher claims that a research finding is 'proven' because the probability of the results occurring by random chance alone is only . A peer reviewer evaluates this claim and suggests a more scientifically accurate term, noting that the finding should instead be described as _____ to indicate that it is highly unlikely to have occurred due to random variation while avoiding the overstatement of absolute proof.
Learn After
If a study with a large sample (e.g., 500 participants per group) yields a strong relationship (such as Cohen's ), what is the typical statistical conclusion regarding the null hypothesis?
Researcher X finds a strong relationship () in a sample of men and women. Researcher Y finds a weak relationship () in a sample of men and women. Because Researcher Y's result is more likely to have occurred by chance, Researcher Y should reject the null hypothesis.
Evaluate the following research scenarios and arrange the conclusions in order from the least scientifically sound (most likely to be a result of chance) to the most scientifically sound (least likely to be a result of chance).
Suppose you are tasked with synthesizing two prototypical research examples for an introductory psychology manual to illustrate how sample size and relationship strength dictate statistical conclusions. Which pair of study configurations and outcomes should you construct to best demonstrate when a researcher is justified in rejecting versus retaining the null hypothesis?
A strong relationship found in a large sample (, ) results in the rejection of the null hypothesis because it is highly improbable to occur by chance, whereas a weak relationship in a small sample (, ) is retained because it is statistically probable to occur even if no real effect exists.
In the context of hypothesis testing, what is the most likely statistical conclusion if a study comparing two groups uses a very small sample (e.g., 3 individuals per group) and yields a weak relationship (e.g., Cohen's d = 0.10)?
Imagine you are reviewing three different psychology studies that compare two groups. Based on the relationship between sample size and relationship strength (Cohen's d), rank these studies from the one most likely to result in rejecting the null hypothesis (top) to the one least likely to result in rejecting the null hypothesis (bottom).
A researcher claims to have discovered a gender difference based on a study of women and men that yielded a weak relationship (). From a statistical perspective, this conclusion would be evaluated as unreliable because such a result is quite likely to occur by _____.
A researcher rejects the null hypothesis for a study with participants and a Cohen's because the result is highly unlikely if the null is true; conversely, a researcher retains the null hypothesis for a study with participants and a because that result is quite _____ to occur by chance.
Match each research scenario to the most likely null hypothesis testing outcome based on the study's sample size and effect size.
Match each description on the left with the corresponding statistical outcome or reasoning on the right.