By Frederick J. Gravetter, Larry B. Wallnau
A confirmed bestseller, necessities OF information FOR THE BEHAVIORAL SCIENCES, 8e grants hassle-free guideline, unmatched accuracy, integrated studying aids, and many real-world examples that can assist you comprehend statistical ideas. The authors take time to completely clarify statistical techniques that you should transcend memorizing formulation and start gaining a conceptual figuring out of records. in addition they take care to teach you ways having an knowing of statistical techniques may also help you understand released findings--ultimately best you to develop into a savvy buyer of data. to be had with InfoTrac pupil Collections gocengage.com/infotrac.
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Extra info for Essentials of Statistics for the Behavioral Sciences (8th Edition)
May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it. 1 Type of Video Game Correlational data consisting of non-numerical scores. Note that there are two measurements for each individual: type of game played and helping behavior.
Notice that original scores and the converted scores both involve measurement in inches, and you can compute differences, or distances, on either scale. For example, there is a 6-inch difference in height between two boys who measure 57 and 51 inches tall on the first scale. Likewise, there is a 6-inch difference between two boys who measure 19 and 13 on the second scale. However, you should also notice that ratio comparisons are not possible on the second scale. For example, a boy who measures 19 is not three times taller than a boy who measures 13.
Other examples of nonequivalent group studies include comparing 8-year-old children and 10-year-old children or comparing people with an eating disorder and those with no disorder. Because it is impossible to use techniques like random assignment to control participant variables and ensure equivalent groups, this type of research is not a true experiment. 7 shows an example of a pre–post study comparing depression scores before therapy and after therapy. The two groups of scores are obtained by measuring the same variable (depression) twice for each participant; once before therapy and again after therapy.