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RES 725 Is a truly special teacher is very wise and sees tomorrow in every student’s eyes
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RES 725 Descriptive and comparative Data Analysis • Week 1 To Week 8 visit (www.sellfy.com/snaptutorial) • Purchase here • RES 725 Descriptive and comparative Data Analysis • Week 1 To Week 8 • https://sellfy.com/p/ASMw/
RES 725 Descriptive and comparative Data Analysis • Week 1 To Week 8 RES 725 Week 1 Individual Assignment Presentation of Findings Quantitative Correlational Study Click Here to Buy the Tutorial (https://sellfy.com/p/ASMw/) Complete “Smart Alex’s tasks” 1 & 2 in Ch. 6 of the Field text (p. 195). Write a paper, 5 to 10 pages not including front matter and references, reporting your results. This paper serves as practice for writing Chapter Four of your dissertation.
RES 725 Descriptive and comparative Data Analysis • Week 1 To Week 8 RES 725 Week 2 Individual Assignment Presentation of Findings T Test Click Here to Buy the Tutorial (https://sellfy.com/p/VLVl/) Run a dependent (paired samples) t test on spiderRM.sav, and an independent t test on spiderBG.sav in SPSS. Write a paper, 5 to 10 pages not including front matter and references, reporting your results. This paper serves as practice for writing Chapter Four of your dissertation.
RES 725 Descriptive and comparative Data Analysis • Week 1 To Week 8 RES 725 Week 3 Individual Assignment Presentation of Findings Analysis of Variance Click Here to Buy the Tutorial (https://sellfy.com/p/quej/) Load Viagra.sav into SPSS and replicate the analysis in Section 10.3 in Ch. 10 (p. 375) of the Field text. Write a paper, 5 to 10 pages not including front matter and references, reporting your results. This paper serves as practice for writing Chapter Four of your dissertation.
RES 725 Descriptive and comparative Data Analysis • Week 1 To Week 8 RES 725 Week 4 Individual Assignment Presentation of Findings Factorial Analysis of Variance Click Here to Buy the Tutorial (https://sellfy.com/p/4qAi/) Load goggles.sav into SPSS and replicate the factorial in Section 12.3.1 in Ch. 12 (pp. 430–431) of the Field text. Write a paper, 5 to 10 pages not including front matter and references, reporting your results. The paper must be well written and readable, just as Chapter Four of your dissertation will be.
RES 725 Descriptive and comparative Data Analysis • Week 1 To Week 8 RES 725 Week 5 Individual Assignment Presentation of Findings Repeated Measures Analysis of Variance Click Here to Buy the Tutorial (https://sellfy.com/p/nSR2/) Use the file tutormarks.sav explained in Ch. 13 (p. 504) of the Field text, under “Smart Alex’s tasks” 1 & 2. Write a paper, 5 to 10 pages not including front matter and references, reporting your results. The paper must be well written and readable, just as Chapter Four of your dissertation will be.
RES 725 Descriptive and comparative Data Analysis • Week 1 To Week 8 RES 725 Week 6 Individual Assignment Presentation of Findings Friedman’s Analysis of Variance Click Here to Buy the Tutorial (https://sellfy.com/p/E7u2/) Use diet.sav for the diet example with ranks (Table 15.5) in Ch. 15 (p. 574) and put it into SPSS to do a Freidman’s as the textbook does. Complete a test for normality before you do the analysis.
RES 725 Descriptive and comparative Data Analysis • Week 1 To Week 8 RES 725 Week 7 Individual Assignment Presentation of Findings Multivariate Analysis of Variance Click Here to Buy the Tutorial (https://sellfy.com/p/tn3D/) Review the data as directed in Sections 16.3.2 and 16.6.1 in Ch. 16 of the Field text (pp. 587 & 606). Calculate the MANOVA test statistic, Pillai-Bartlett trace (V),
RES 725 Descriptive and comparative Data Analysis • Week 1 To Week 8 RES 725 Week 8 Individual Assignment Presentation of Findings Factor Analysis Click Here to Buy the Tutorial (https://sellfy.com/p/Irh9/) Load SAQ.sav into SPSS and review the data as directed in Section 17.5 of Ch. 17 of the Field text (p. 645). Extract the factors using principal component analysis in SPSS. See Section 17.6 in the Field text for directions (p. 650).
RES 725 Descriptive and comparative Data Analysis • Week 1 To Week 8