Exam 11: Data Analysis
The statistical average of collection of observations is called a:
A
Why do good researchers write results so that statistically less sophisticated readers can understand the findings as well as fellow researchers and students?
Good researchers write results in a way that statistically less sophisticated readers can understand for several reasons. Firstly, research is often funded by public money, and therefore the findings should be accessible to the public. Secondly, research often has implications beyond the specific field of study, impacting policy decisions, business strategies, and individual behaviors. Therefore, it is important that a wide range of people can understand the results. Thirdly, making research accessible to a broader audience can help to inspire future researchers and foster a greater appreciation for the field. Lastly, clear and understandable writing is a sign of clear and understandable thinking, which is a hallmark of good research.
Offer a rationale for why a social psychologist should always plan data analyses in advance of data collection.
As a social psychologist, it is essential to plan data analyses in advance of data collection for several reasons. Firstly, having a clear plan for data analyses helps to ensure that the research questions are appropriately addressed and that the most suitable statistical methods are chosen. This can prevent the misuse of statistical tests and the misinterpretation of results.
Additionally, planning data analyses in advance allows for the collection of the most relevant and appropriate data. By knowing the specific analyses that will be conducted, researchers can design their data collection methods to gather the necessary information. This can help to avoid collecting irrelevant or redundant data, saving time and resources.
Furthermore, planning data analyses in advance can help to prevent bias in the analysis process. By establishing the criteria for data exclusion, outlier handling, and variable coding before data collection, researchers can reduce the potential for unconscious bias in the analysis process.
Finally, having a planned approach to data analyses can improve the overall efficiency of the research process. Researchers can set clear timelines and milestones for data collection and analysis, helping to ensure that the project stays on track and meets its deadlines.
Overall, planning data analyses in advance of data collection is crucial for ensuring the validity, relevance, and efficiency of social psychological research. It helps to clarify research questions, guide data collection, reduce bias, and improve the overall quality of the research process.
It is not appropriate to describe a statistical difference between means as "highly significant."
In your view, what role do statistics and data analysis play in social psychological research?
Using your own example and words, describe a main effect found between two levels of an independent variable.
Explain the proper use of the word "significant" in the context of a successful experiment in social psychology.
Explain why the standard deviation is usually the best statistic for characterizing variability.
The most beneficial or useful indicator of variability is the:
The statistic that is used to divide a data distribution in half is called a:
Explain the distinctions among the mean, the mode, and the median as descriptive statistics.
Social psychology experiments do not always "work", that is, they do not disclose desired results. How can a social psychologist learn from failures as well as successes?
What are descriptive statistics? How do they differ from inferential statistics?
What s statistical power? Discuss some ways that an investigator can enhance the power in an experiment.
In social psychology, the minimally acceptable level of significance for rejecting the null hypothesis is:
What is a correlation? Provide an example of a positive correlation and a negative correlation.
Is there a proper way to report the results of a social psychology study? Explain the guiding principle that careful and thoughtful researchers use.
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