{"id":53218,"date":"2022-04-17T02:59:32","date_gmt":"2022-04-17T02:59:32","guid":{"rendered":"https:\/\/assignmenttutors.net\/blog\/obtaining-a-significant-interaction-means-that-both-factors-a-and-b\/"},"modified":"2022-04-17T02:59:32","modified_gmt":"2022-04-17T02:59:32","slug":"obtaining-a-significant-interaction-means-that-both-factors-a-and-b","status":"publish","type":"post","link":"https:\/\/assignmenttutors.net\/blog\/obtaining-a-significant-interaction-means-that-both-factors-a-and-b\/","title":{"rendered":"Obtaining a significant interaction means that both factors a and b"},"content":{"rendered":"<div>\n<p>22. A repeated-measures study uses a sample of n = 20 participants to evaluate the mean differences among three treatment conditions. In the analysis of variance for this study, what is the value for dfBetweenTreatments?<br \/>a. 2<br \/>b. 19<br \/>c. 57<br \/>d. 59<\/p>\n<p>23. A repeated- measures ANOVA with n = 5 subjects has within-treatment df = 12. What is the value of error df for this analysis?<br \/>a. 8<br \/>b. 16<br \/>c. 48<br \/>d. Insufficient information to find error df<\/p>\n<p>24. For the repeated-measures ANOVA, SSerror is found by:<br \/>a. SStotal \u2013 Ssbetween treatments<br \/>b. SSbetween treatments \u2013 Sswithin treatments<br \/>c. SSbetween treatments \u2013 Ssbetween subjects<br \/>d. SSwithin treatments \u2013 Ssbetween subjects<\/p>\n<p>25. A repeated-measures analysis of variance produces SSwithin treatments = 24 and SSbetween treatments = 40. For this analysis, what is the value of SSerror?<br \/>a. 16<br \/>b. 24<br \/>c. 64<br \/>d. Cannot be determined without additional information<\/p>\n<p>26. Which of the following are sources of variability that contribute to SSbetween treatments in a repeated ANOVA?<br \/>a. Treatment effect and random unsystematic differences<br \/>b. Treatment effect and individual differences<br \/>c. Treatment effect, individual differences, and random unsystematic differences<br \/>d. Individual differences and random unsystematic differences<\/p>\n<p>27. For a repeated-measures study, dfBetween treatments = 3 and dfTotal = 27. This means 28 people participated in the study with 7 different people in each group.<br \/>a. True<br \/>b. False<\/p>\n<p>28. For the repeated ANOVA, SSwithin treatments = SSbetween subjects + SSerror.<br \/>a. True<br \/>b. False<\/p>\n<p>29. Based on the results of a repeated-measures ANOVA, a researcher reports F (4, 20) = 11.57, p &lt; .01. For this ANOVA, the null hypothesis was rejected.<br \/>a. True<br \/>b. False<\/p>\n<p>30. For a repeated-measures research study comparing 2 treatment conditions with a sample of n = 8 subjects, the F-ratio would have df = 1, 7.<br \/>a. True<br \/>b. False<\/p>\n<p>31. A two-factor study with two levels of factor A and three levels of factor B uses a separate group of n = 5 participants in each treatment condition. How many participants are needed for the entire study?<br \/>a. 5<br \/>b. 10<br \/>c. 25<br \/>d. 30<\/p>\n<p>32. A two-factor, independent-measures research study with 2 levels of factor A and 2 levels of factor B would require 2 separate samples.<br \/>a. True<br \/>b. False<\/p>\n<p>33. A two-factor analysis of variance involves three separate F-ratios.<br \/>a. True<br \/>b. False<\/p>\n<p>34. For an independent measures two-factor experiment, the smaller the values of the sample variances, the more likely it is that at least one of the F-ratios will be significant.<br \/>a. True<br \/>b. False<\/p>\n<p>35. IN a two-factor analysis of variance with two levels of factor A and two levels of factor B, what is the relationship among the three F-ratios (A, B and the AxB interaction)?<br \/>a. All three F-ratios will have the same values for df.<br \/>b. The F-ratios for A and B will have the same values for df, but the interaction may have a different df value.<br \/>c. The F-ratios for A and B will have the same df values but the interaction is guaranteed to have different values for df.<br \/>d. None of the other 3 choices are correct.<\/p>\n<p>36. The results from a two-factor analysis of variance show a significant main effect for factor A and a significant main effect for factor B. Based on this information, you can conclude that:<br \/>a. There must be a significant interaction<br \/>b. There probably is a significant interaction<br \/>c. The interaction cannot be significant<br \/>d. You cannot make any conclusion about the significance of the interaction<\/p>\n<p>37. In a line graph showing the results from a two-factor experiment, the levels of factor B are presented on the X-axis and, although the line for A1 is crooked, the points on the line are consistently 5 points higher than the line for A2. What result is indicated by this pattern?<br \/>a. No indication of an interaction<br \/>b. An indication of an overall Factor A effect<br \/>c. An indication of a Factor A effect but no indication of an interaction<br \/>d. An indication of an interaction but no indication of a Factor A effect<\/p>\n<p>38. Obtaining a significant interaction means that both factors A and B have significant main effects.<br \/>a. True<br \/>b. False<\/p>\n<p>39. Whenever a two-factor experiment results in a significant interaction, you should be cautious about interpreting the main effects because an interaction can distort, conceal, or exaggerate the main effects of the individual factors.<br \/>a. True<br \/>b. False<\/p>\n<p>40. A two-factor analysis of variance with 2 levels of Factor A and 3 levels of Factor B involves 6 separate hypothesis tests.<br \/>a. True<br \/>b. False<\/p>\n<p>41. A two factor analysis of variance produces SSa = 20, SSb = 40 and SSaxb = 90. For this analysis, what is the value for SSbetween treatments?<br \/>a. 30<br \/>b. 60<br \/>c. 150<br \/>d. Cannot be determined without additional information<\/p>\n<p>42. In a two-factor ANOVA, which of the following is not computed directly but rather is found by subtraction?<br \/>a. SSbetween treatments<br \/>b. SSa<br \/>c. SSb<br \/>d. SSaxb<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>22. A repeated-measures study uses a sample of n = 20 participants to evaluate the mean differences among three treatment conditions. In the analysis of variance for this study, what is the value for dfBetweenTreatments?a. 2b. 19c. 57d. 59 23. A repeated- measures ANOVA with n = 5 subjects has within-treatment df = 12. What [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-53218","post","type-post","status-publish","format-standard","hentry","category-education"],"_links":{"self":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/53218","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/comments?post=53218"}],"version-history":[{"count":0,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/53218\/revisions"}],"wp:attachment":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/media?parent=53218"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/categories?post=53218"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/tags?post=53218"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}