Exam 18: Interpreting Research Results

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Once you have analyzed your data and have determined the nature of the relationship revealed by the data, the next step is to

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Errors can occur in interpreting research results when

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What three questions should researchers answer when describing the results of a study?

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When researchers describe the results of a study, they should aim to answer the following three key questions to ensure clarity, relevance, and context for their audience:

1. **What were the main findings?**
- Researchers should clearly articulate the primary outcomes of the study. This includes presenting the data that was collected, whether quantitative or qualitative, and summarizing the most significant results. They should highlight any patterns, trends, or anomalies observed in the data and explain how these findings align with the study's objectives or hypotheses.

2. **How do these findings relate to the existing body of knowledge?**
- It is important for researchers to contextualize their results within the broader field of study. This involves discussing how the findings compare to, contrast with, or build upon previous research. Researchers should address whether their results support or challenge existing theories and what the implications might be for future research or practical applications. This helps to establish the significance of the study and its contribution to the field.

3. **What are the limitations of the study, and how might they affect the interpretation of the results?**
- No study is without limitations, and it is crucial for researchers to acknowledge these. Limitations can include methodological constraints, sample size, potential biases, or external factors that could influence the results. By discussing these limitations, researchers provide a more nuanced understanding of their findings and help others to gauge the reliability and generalizability of the study. It also sets the stage for future research that may address these limitations.

By answering these questions, researchers can effectively communicate the essence of their study, its relevance, and its reliability, thereby contributing valuable information to their field and guiding further inquiry.

Being overly focused on single theory when interpreting the results of a study can lead the researcher to

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Possible sources of Type II errors include

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Explain why there is prejudice against the null hypothesis in psychological research. What undesirable effects does this prejudice have?

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Which of the following statements about practical significance is TRUE?

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How can null results be used to demonstrate that a set of research results are generalizable?

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In describing research results, statements such as "The mean experimental group score improved twice as much as the mean control group score" should be made only when the

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Implicitly assuming that the mean group score on a variable is characteristic of all members of the group is

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Possible sources of Type II errors include

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The term null results refers to a research outcome

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Your statistical analysis showed no significant difference between the experimental and control group. Name and describe four factors that should be considered when evaluating whether this result was due to Type II error.

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What information does a researcher obtain from inferential statistics?

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Dr. Mischel concluded that her independent variable had an effect on the dependent variable; however, the independent does not have an effect in the population. Dr. Mischel

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Errors in drawing conclusions from research results that compare social groups (such as women and men) include

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Your study's results are inconsistent with those found in previous research. Explain the process you should use for comparing your results with those of previous research on your topic.

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What is an omnibus statistical test? If such a test is significant, how does a researcher determine the meaning of the obtained results? How is this process similar or different when specific patterns of results are hypothesized?

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It can be appropriate to accept null results as valid if

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What conclusions can be drawn from a non-significant statistical test? What role does statistical power play?

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