Here we discuss the Two-Way Anova Main Effects and Interaction Effects This will be a 4840- CoachOnCouch

Statistics for Psychology

Question.4840 - 0000Here we discuss the Two-Way Anova, Main Effects, and Interaction Effects. This will be a detailed discussion worth 15 points so plan accordingly. Image by Ulrike Leone from PixabayPreparation:To prepare for this discussion, please follow along with our ScreenCast videos 14.8.1 and 14.8.2 to make sure you can generate all of the required results.Required SPSS VideosStats Screencast 14.8.1 (click here)Stats Screencast 14.8.2 (click here)Conducting a 2 Way Anova in SPSS (Dr. Todd Grande, click here) Main and Interaction Effects in ANOVA using SPSS (click here) How to report results in APA format https://depts.washington.edu/psych/files/writing_center/stats.pdfOptional Support VideosMain and Interaction Effects in ANOVA using SPSS (click here) How to Calculate a Two Way ANOVA (factorial analysis) (click here)How to Interpret the Results of A Two Way ANOVA (Factorial) (click here)How to Calculate a Two Way ANOVA using SPSS (click here)Mini-Report General GuidanceWelcome to our fourth mini-report. Key new features for this report include:Analyzing the âmain effectsâ and âInteraction effectâ of a Two-Way AnovaNote the measures of effect size and statistical power which come with the output tables. Where are these values and what do they mean?As a reminder, the point of a mini-report assignment is to link all of the various parts of research with the unitâs statistical analysis methodology. To make this link, we will again start by creating the question and phrasing it as a testable hypothesis which will fit the Two-Way Anova, generating the results, sharing those results in APA format, and explaining what those results mean for the study hypotheses and research question. Many people only understand these elements in isolation, but your job is to see how they match and relate. The more you practice in the way required in these reports, the more you will see how to apply and interpret statistics in the future.We present these mini-reports as a discussion so everybody will be able to see multiple examples and therefore have a better idea of how to run statistical tests and write up the results. If you are stumped on how to write your post, look at what others have written but change the example hypothesis and data to a scenario which interests you.This will help accomplish our course themes/goals of 1) asking and answering questions with statistics, 2) telling stories with data, and 3) choosing the correct statistical test.Mini-Report InstructionsTo complete this assignment, please create a scenario that would require the use of a Two-Way Anova â pick the 2x2 design which means that each independent variable has ONLY 2 levels, not any more than that., write your research question and matching hypothesis, generate fake/mock data, enter that correctly into SPSS, calculate and explain your results. It would be best to write your replies in MS word, save them, and paste them into this discussion so you don't lose any work. The sections of this mini-report areTitle(2 points) Brief introduction to the scenario (explain what you are comparing, what the variables are and what your null and alternative hypotheses are.List the FIRST independent variableâs name ____ how many levels it has _____ and what those levels are ______. See this link if you are stumped. https://www.statisticshowto.datasciencecentral.com/probability-and-statistics/hypothesis-testing/anova/ Provide an operational definition for the independent variable (yes, even categorical independent variables need operational definitions).List the SECOND independent variableâs name ____ how many levels it has _____ and what those levels are ______. See this link if you are stumped. https://www.statisticshowto.datasciencecentral.com/probability-and-statistics/hypothesis-testing/anova/ Provide an operational definition for the independent variable (yes, even categorical independent variables need operational definitions).List the dependent variableâs name and its operational definition_____. Is this an interval or ratio scale measurement?(3 pts) Brief explanation of the methods explain the sample size, sampling method, and measurement methods you might use to have collected the mock data for your study. Use about 20-30 data points per group.explain the descriptive statistics and charts which you might use to first analyze the data and check the sample for outliers and normalitylist your choice of alpha level and explain that choice. Will you use the standard p<.05 level or a different criterion and why?We will not use post-hoc tests because your example should only be comparing between 2 levels per variable. (3 pts) Results [ Review: Conducting a 2 Way Anova in SPSS (Dr. Todd Grande, click here) ]List the descriptive statistics for your data. List any charts which accompany them.Paste in the Anova results table for your dataReport the descriptive statistics (means and standard deviations) and Report the inferential statistics (Two-Way Anova results) in APA format https://statistics.laerd.com/spss-tutorials/two-way-anova-using-spss-statistics-2.phpMain effect 1Main effect 2Interaction effect. Explain whether or not you rejected the null hypothesis for each of the main effects and the interaction effect and whyMake sure to request and report the effect sizes of partial eta squared. Report these for each main or interaction effect ONLY if the effect is significant. (2 pts) Interpretation Write a brief description of your results and what it means about your research question. Was there a difference between the means you looked at and what would that tell you about the primary research question? Interpret the effect size measures. End with the final take home message about what your study shows and comment about what you learned or what you have questions about based on this assignment.References (if any)Please also attach your SPSS Viewer file and SPSS Data file with your post using the attachment button (the paperclip) from the discussion editor menu.Your questions, comments, and replies to classmates are worth the other 5 points in this forum.This discussion is worth 15 points. The main post should be at least 500 words and please reply to at least 1 classmate. Help each other out as much as possible.

Answer Below:

The xxxxxx of xxxxxxxx type xxx sleep xxxxxxxx on xxxxxxxx performances x have xxxxxxxx this xxxxx to xxxxxxxxx how xxx two xxxxxxx exercise xxxx and xxxxx duration xxxxxx the xxxxxxxx performance xx students xxx research xxxxxxxx here xx that xx different xxxxxxxx types xxx sleep xxxxxxxxx influence xxxxxxx s xxx Null xxxxxxxxxx H xxxxx is xx main xxxxxx of xxxxxxxx type xx GPA x There xx no xxxx effect xx sleep xxxxxxxx on xxx H xxxxx is xx interaction xxxxxx between xxxxxxxx type xxx sleep xxxxxxxx on xxx Alternative xxxxxxxxxx H xxxxx is x main xxxxxx of xxxxxxxx type xx GPA x There xx a xxxx effect xx sleep xxxxxxxx on xxx H xxxxx is xx interaction xxxxxx between xxxxxxxx type xxx sleep xxxxxxxx on xxx The xxxxx independent xxxxxxxx is xxxxxxxx type xxx two xxxxxx are xxxxxxx and xxxxxxxx training xxxxxxxx type xxxxxx to xxxxxxxx activity xxxxxxxxx by xxxxxxxx over xxxx month xxxxxxxx include xxxxxxx walking xxxxxxx swimming xxx atleast xxxx three xxxxx a xxxx Strength xxxxxxxx includes xxxxxxxxxxxxx workouts xxx atleast xxxx three xxxxx a xxxx The xxxxxx variable xx sleep xxxxxxxx The xxx levels xxx hours xx sleep xxx - xxxxx of xxxxx Sleep xxxxxxxx refers xx average xxxxxx of xxxxx slept xxx night xxxx the xxxx week xxx dependent xxxxxxxx is xxxxxxxx performance xxxxx is xxxxxxxx in xxx Academic xxxxxxxxxxx is xxxxxxxx using xxx student x self-reported xxxxxxxxxx Grade xxxxx Average xxx on x scale xxxxxxxx via xxxxxxxxxxxxx records xx is x ratio xxxxx because xxx has x true xxxx and xxxxx intervals x sample xxxx of xxxxxxxx were xxxxxxxx through xxxxxxxxxxx sampling xxxx a xxxxxxx psychology xxxxxx Each xxxxxxx completed x brief xxxxxx indicating xxxxx primary xxxx of xxxxxxxx over xxx past xxxxx and xxxxx average xxxxxxx sleep xxxxxxxx over xxx past xxxx This xxxxxxxxxxx was xxxx to xxxxxx them xx one xx four xxxxxx based xx Exercise xxxx Aerobic xx Strength xxxxxxxxxxxxx Duration xxxx than xxxxx or xxxxx per xxxxx I xxxx use xxxxxxxxxxx statistics xxxxx includes xxxx standard xxxxxxxxx and xxxxx for xxx within xxxx group x will xxx profile xxxxx to xxxxxx the xxxxxxxxxxx effect xxxxxxx the xxx IVs x will xxx the xxxxxxxx alpha xxxxx to xxxxxxxxx the xxxxxxxxxxx significance xxxxxxx it xxxxxx to xxxxxxx the xxxx of xxxx I xxxxxx with xxxxxxxxxx small xxxxxx size xxxxxxx Students xxx engaged xx Aerobic xxx slept xxxx than xxxxx have x mean xxx of xx Students xxx engaged xx Aerobic xxx slept x hours xxxx a xxxx GPA xx SD xxxxxxxx who xxxxxxx in xxxxxxxx training xxx slept xxxx than xxxxx have x mean xxx of xx Students xxx engaged xx strength xxxxxxxx and xxxxx - xxxxx have x mean xxx of xx The xxxx effect xx exercise xxxx on xxx was xxx significant x p xxxxxxx Therefore xx fail xx reject xxx null xxxxxxxxxx that xxxxx is xx effect xx exercise xxxx on xxx The xxxx effect xx average xxxxx duration xx GPA xxx also xxx significant x p xxxxxxx Therefore xx fail xx reject xxx null xxxxxxxxxx that xxxxx is xx effect xx average xxxxx on xxx The xxxxxxxxxxx between xxxxxxxx type xxx average xxxxx duration xxx not xxxxxxxxxxx F x partial xxxxxxxxx we xxxx to xxxxxx the xxxx hypothesis xx interaction xxxxxx Since xxxx of xxx p-values xxxx below xxx alpha xxxxx of xx failed xx reject xxx null xxxxxxxxxx for xxxx main xxxxxxx and xxx interaction xxxxxx Partial xxx squared xxxxxx suggest xxxx small xxxxxx sizes xxxx the xxxxxxx being xxx sleep xxxxxxxx which xxxxx falls xxxxx the xxxxxxxx cited xxxxxxxxx for x small xxxxxx The xxx takeaway xxxx this xxxxxxxxxx is xxxx while xxxxxxxxx factors xxxx exercise xxx sleep xxx often xxxxxxxx to xxxxxxxxx academic xxxxxxxxxxx this xxxxxxxxxx dataset xxx not xxxxxxx that xxxxxxxxxx in x statistically xxxxxxxxxx way xxxx this xxxxxxxxxx I xxxxxxx how xx design xxx run x Two-Way xxxxx in xxxx interpret xxx results xxx report xxxx using xxx format xxx important xxxxxxxx is xxx need xx carefully xxxxxxxx both xxxxxxxxxxx and xxxxxxxxx significance xxxx because x result xxx t xxxxxxxxxxxxx significant xxxxx t xxxx it x not xxxxx exploring xxxxxxx with x larger xx more xxxxxxxx sample x also xxxxxx a xxxxxx understanding xx effect xxxxx References xx Todd xxxxxx Conducting x Two-Way xxxxx in xxxx In xxxxxxx https xxx youtube xxx watch x q xxxxxxx Y xxx to xxxxxxxxx a xxx Way xxxxx using xxxx n x Www xxxxxxx com xxxxx www xxxxxxx com xxxxx v xxxxxxx VA xxxxx Statistics xxxxxxx ANOVA xxxxxx and xxxxxxxxxxxxxx in xxxx Statistics x Including xxxxxx Main xxxxxxx Laerd xxxxxxxxxx Laerd xxx https xxxxxxxxxx laerd xxx spss-tutorials xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx phpHow xx Run xxx Way xxxxx Test xx SPSS x OnlineSPSS xxx October xxxxxxxxxx com xxxxx www xxxxxxxxxx com xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx -a xx db-a x -c xx -e x