AutoSave 0 w Home Insert Liv Page i of 7 En? El Draw Calibri (Bo... i705 words L/'l Design [II- 12 {E}; .u V2 Assignment 1_Instructions_F21 Layout References Mailings Review View Acrobat ; Tell me v A A Engllsh (United States) Show Show Fllland Sendlor Agreement Taskpane Taskpane Sign Signature Status Requirements 1. Read and understand the overview of the data study. 2. Answer a series of questions that will assess your understanding of the research process. 3. Answer 8 research questions. 4 Provide a conclusion based on your findings. In this section, rather than restating your ndings, build upon them and provide recommendations for practitioners. Methods - Taking from the SPSS output file, you will need to report the descriptive statistics for the sample description, and t-test or ANOVA results to answer all research questions. There is no need to look into interactions nor post-hoc analyses. But, you should describe mean differences as they relate to the research question (e.g. Were males or females' means higher?) Example Write-Ups On pages two and three, I have provided example write-ups of the results. These are meant to guide you, so adjust according to this assignment's study context and each research question. Format - You will need to answer each research question in written form as shown in the example write-ups (pages 2 and 3) There is no need for tables, charts, or gures. Please submit using ONLY PDF documents. Other formats, like Apple pages, will NOT be accepted. Canvas has trouble with other formats and your submission will not open properly if other formats are used. Focus I Ea, i5 Share Q Comments Create and Share Request Adobe PDF Signatures AutoSave 0 w Home Liv Page i of 7 Insert En? ED Draw Calibri (Bo... 1705 words L/'l Design [II- 12 {E}; ... v A Layout A V2 Assignment 1_Instructions_F21 References Mailings Review View Acrobat ; Tell me Ag/ ._ Styles Styles chlate Show Pane Taskpane Show Taskpane Sign Signature Rounding Numbers 0 Round percentages to the nearest whole number (i.e., 12.23% should be 12%). o For all other numbers (means, standard deviations, t-score, F-value, p-value, etc.), round to the nearest two decimal points (i.e., M = 4.5566721 should be M = 4.56) *Please note that the common method of rounding is to make a number of 5 or above go up, and a number of 4 or less go down. For example, if your number is 3.145 then your rounded number would be 3.15, If your number is 3.144 then your rounded number would be 3.14. Tips on answering R05 2-7 0 Indicate whether the difference is significant or not 0 Then, within parenthesis, report your t-score or F-value (depending on the statistical test) and the p-value (in terms of greater or less than 0.05). 0 Include means and standard deviation values for all groups of interest per RQ. EXAMPLE WRITE-UPS English (United States) Fllland Sendior Agreement Status is\" Share Q Comments Create and Share Request Adobe PDF Signatures AutoSave OFF WAY. CG ... w Assignment 1_Instructions_F21 ~ Home Insert Draw Design Layout References Mailings Review View Acrobat ? Tell me Share Comments Calibri (Bo... 12 A A Aa Ap 2 - V x lev Paste BI Uvab X X A LA Styles Styles Dictate Sensitivity Editor Show Show Fill and Send for Agreement Create and Share Request 21 Pane askpane Taskpane Sign Signature Status Adobe PDF Signatures EXAMPLE WRITE-UPS Example of Descriptive Statistics Write-Up - Sample A total of 247 U.S. students participated in this study. Fifty-nine percent of them were female and the average age within the sample was 21.00 years old (SD = 9.66). With regard to ethnicity, 80% were Caucasian, 7% African American, 5% Asian, 5% Hispanic, and 4% indicated "other." Ten percent of the respondents earned a high school degree or equivalent, 37% had some college, 4% completed a two-year degree, 38% were college graduates, and 11% completed a graduate degree. Example of t-test Write-Up - Please note this example is from ANOTHER STUDY, so the highlighted terms of interest are different from this assignment's study. Results Answering RQ 1, the independent sample t-test indicates there was a significant likeability difference by gender, t = 17.45, p <.05. from the results female sd="0.08)" participants had higher likeability rates than male example of anova write-up page words x english states focus e q v v2assignment1_instructions_f21 home insert draw design layout references mailings review view acrobat tell me share d comments liv calibrilbo... a pl chlale show flll and send ior agreement create request taskpane sign signature status adobe pdf signatures please note this is another study so highlighted terms interest are different assignment study. regarding rq an analysis variance found significant result for context perception f: p .05. here data demonstrated that assigned in positive reported perceived positiveness comparison to negative as well control condition conclusions based on findings addition you should include short summary paragraph written common language then describe your discuss trends practitioners consider when making advertising decisions. practitioner recommendations be specic but do not require restate already covered answering research questions. grading information see rubric overview experimental which sample students was randomly exposed instagram inuencers. these influencers varied oftheir tiers itoswords autosave off way. cg ... w calibri ap lev paste b i u x2 l av styles dictate sensitivity editor fill pane askpane influencers. their niches. determined by number followers each influencer has or more macro: micro: below also classified niches industry content there three niches: beauty fitness travel experiment were accounts asked complete online survey. survey basic demographic age gender class rank social media usage other questions perceptions likability relatability expertise authenticity. ultimately want determine what type sponsor drive purchases new sneaker shoes. part answer following questions: t5 taskoane brand wants change color logo hires researcher would most attractive. divides into groups showing group one possible colors. after indicate how attractive performs t-test difference between uses .05 statistical significance. identify did wrong. explain why. . levels measurement variables o lnfluencer tier know differences means statistically does mean if sets alpha examine whether milk customers add coffee impacts overall satisfaction. shop those who drink with oatmilk it soymilk surveys them satisfactory was. situation independent variable dependent briefly answer. clothing specializing athleisure newest collaboration performed. i705 way lav impact. provides two definitions i. impact understood novel consumers clothes. il. times shared pictures clothes media. conceptual definition operational definition. table output file a. used facebook b. twitter c. tiktok d. youtube snapchat aa uva ii using rq1: make-up question make sure all relevant descriptive statistics. only charts figures rq2: significantly differ rq3: relatable they audience rq4: among range rq5: authenticity aav rq6: platform rq8: industries treat unique comparison. iii conclusion dations uv ab bi decision about influencer. remember specific pts correctly per rq1 statistics ethnicity rqs report appropriate test interpret n-value nts zoom use total descriptive: std. n minimum maximum deviation participant valid frequencies: cumulative frequency percent education freshman sophomore junior senior graduate> of 11 O ZOOM + 7.\" R02: T-Test: Influencer Likeability & Participants' Gender Std. Std. Error What is your gender? N Mean Deviation Mean How much do you like the Female 128 5.1328 1.47617 .13048 inuencer scale ranging from 1-7. 1 = Didn't Like at all, 7 = Male 122 3.2213 1.68862 .15288 Very Much Liked H OW much Cl 0 YOU like ttest for Equality of Means the inuencer _ scale 95% Condence Interval of ranging from 1-7 1 = _ Sig. (2- Mean Std. Error the Difference Didn't Like at a" '7 = t df tailed) Difference Difference Lower Upper ' 9.541 248 <.001 .20034 very much liked page of zoom rq3: t-test: influencer relatability participants gender std. error what is your n mean deviation how do you relate female .14505 with the influencer- scale to not relatable at all male completely t-test for equality means confidence interval sig. difference df tailed lower upper .943 .22781 .43230page rq4: one way anova: expertise tier descriptives an expert think from std . bound minimum maximum celebrity> 500K + 99 3.5758 1.37091 13778 3.3023 3.8492 1.00 5.00 Mid - 499,999 to 50K 61 3.7869 91496 11715 3.5526 4.0212 1.00 5.00 Micro - 49,999 and 90 3.1778 98958 10431 2.9705 3.3850 1.00 5.00 below Total 250 3.4840 1.16239 07352 3.3392 3.6288 1.00 5.00 ANOVA How much of an expert do you think the influencer is? (ranging from Not at all = 1 to Very much = 5). Sum of Squares df Mean Square F Sig. Between Groups 14.869 2 7.435 5.711 .004 Within Groups 321.567 247 1.302 Total 336.436 249Page 500K + 99 2.7980 1.11557 11212 2.5755 3.0205 1.00 5.00 Mid - 499,999 to 50K 61 3.4426 1.14782 14696 3.1487 3.7366 1.00 5.00 Micro - 49,999 and 90 3.5444 1.26457 .13330 3.2796 3.8093 1.00 5.00 below Total 250 3.2240 1.22467 .07746 3.0714 3.3766 1.00 5.00 ANOVA Do you think the influencer is authentic? (ranging from Not at all authentic = 1 to Very authentic = 5) Sum of Squares df Mean Square F Sig. Between Groups 30.125 2 15.063 10.836 <.001 within groups total of zoom rq6: one way anova: influencer relatability social media usage descriptives how much do you relate with the influencer- scale is to not relatable at all completely confidence interval for std. mean n deviation error lower bound upper minimum maximum instagram twitter .32699 tiktok .36521 youtube .26896 facebook .23141 snapchat .25373 .11365 anova sum squares df square f sig. between .650 rq7: authenticity think authentic from very .20426 .21449 .85840 . .22442 .07746 .774 rq8 series likeability expertise and niche std like beauty ranging fitness didn travel liked .19775 an expert .16428 o .014 inuencer .981>