'Post hoc tests' diaporamas de présentation

11/19/2014

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One-way Analysis of Variance and Post Hoc Tests

One-way Analysis of Variance and Post Hoc Tests. Key Points about Statistical Test Sample Homework Problem Solving the Problem with SPSS Logic for One-way Analysis of Variance with Post Hoc Tests Power Analysis. One-way Analysis of Variance: Purpose.

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Comparing several means: ANOVA (GLM 1)

Comparing several means: ANOVA (GLM 1). Dr. Andy Field. Aims. Understand the basic principles of ANOVA Why it is done? What it tells us? Theory of one-way independent ANOVA Following up an ANOVA: Planned Contrasts/Comparisons Choosing Contrasts Coding Contrasts Post Hoc Tests.

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Recall what we did last class in Exercise #2 on Class Handout #9:

Recall what we did last class in Exercise #2 on Class Handout #9:. 2.

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Recall what we did last class in Exercise #2 on Class Handout #9:

Recall what we did last class in Exercise #2 on Class Handout #9:. 2.

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Dr. V.Philitsen .

COMPARISON OF EFFECTS OF SPINAL ADDITIVES FENTANYL and CLONIDINE WITH HYPERBARIC BUPIVACCAINE . Dr. V.Philitsen . . MY GUIDE . PROFESSOR Dr. P.S.SHANMUGAM, M.D.,D.A H.O.D. OF ANESTHESIOLOGY KILPAUK MEDICAL COLLEGE CHENNAI. AIM OF THE STUDY.

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Random Effects & Repeated Measures

Random Effects & Repeated Measures. Alternatives to Fixed Effects Analyses. Questions. What is the difference between fixed- and random-effects in terms of treatments? How are F tests with random effects different than with fixed effects?

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Where we are Where we are going

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Statistics (cont.)

Statistics (cont.). Psych 231: Research Methods in Psychology. Change in Due date(s) for final draft. Instead of Wednesday in class, will turn in during labs that week (so Nov. 29 & 30). Have a great Fall break. Announcements. Inferential statistics used to generalize back. Population.

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Comparing Cell Means

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Comparing Cell Means

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Comparing Cell Means

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Statistics for the Terrified

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Testing for Differences Between Means

Testing for Differences Between Means. KNES 510 Research Methods in Kinesiology. t Test. Independent-between Dependent-within Difference of 2 mean scores. Sample SPSS Output Independent t Test. Dependent t Test.

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Placement Factors that Contribute to Student Confidence in Community Health Nursing

Placement Factors that Contribute to Student Confidence in Community Health Nursing. U of O: Liz Diem, Alwyn Moyer, Elizabeth Kristjansson; Humber: Cindy Hunt; McMaster: Ruth Schofield CHNC, June 17, 2010 lizdiem@uottawa.ca. Outline. Background Development of scales Purpose of survey

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Modeling: The Troxler Effect

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Psychology 340 Spring 2010

Statistics for the Social Sciences. Analysis of Variance (ANOVA). Psychology 340 Spring 2010. Outline. Basics of ANOVA Why Computations Post-hoc and planned comparisons Power and effect size for ANOVA Assumptions SPSS 1 factor between groups ANOVA Post-hoc and planned comparisons.

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Five-step model for Testing Hypotheses

Five-step model for Testing Hypotheses. The five-step model used for all hypothesis tests contains the following steps: Step 1. Evaluating assumptions. Step 2. Stating the research hypothesis and the null hypothesis and setting alpha

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3-1 ?????? (crd.sav)

Analyze->General Linear Model->Univariate ? Dependent variable: wt ? Fixed factor(s): treat Model: ? Custom ? Model:treat Build Term(s): Main Effect ? Include Intercept in model ->(continue) Options: ? Display Main Effect: treat ? Compare main effect: LSD(None)

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4-3 ???? (spd.sav)

Analyze->General Linear Model->Univariate ? Dependent Variable: wt ? Fixed Factor(s): dept/variety ? Random Factor(s): block Model: ? custom ? Model:dept/variety/dept*variety Build Term(s):Main effect Sum of Squares: TypeIII ->continue Options:

130 views • 1 slides