'Significant interaction' presentation slideshows

Session 3

Session 3. Two-way ANOVA. One-way ANOVA. Imagine that we have administered a placement test to a large groups of Ss from five different schools. We want to know if the performance differs across the five schools. The design box for this study would look like: IV=schools; DV=test scores

621 views • 41 slides

Christie Staudhammer, Francisco Escobedo, and Luis Fernando Osorio School of Forest Resources and Conservation

Christie Staudhammer, Francisco Escobedo, and Luis Fernando Osorio School of Forest Resources and Conservation . Background. Accurate estimates of tree biomass are important to support research in carbon storage, bioenergy, harvest studies

640 views • 40 slides

Example of HSR project: Cardiac Counselling and Rehabilitation: RCT of Complex Interventions

512 views • 40 slides

Chapter 12

Chapter 12. Understanding the Two-Way Analysis of Variance. Going Forward. Your goals in this chapter are to learn: What a two-way ANOVA is How to calculate main effect means and cell means What a significant main effect indicates What a significant interaction indicates. Going Forward.

407 views • 32 slides

Consumption Pattern : SPSS/STATA

Consumption Pattern : SPSS/STATA. Srinivasulu Rajendran Centre for the Study of Regional Development (CSRD) Jawaharlal Nehru University (JNU) New Delhi India r.srinivasulu@gmail.com. Objective of the session. To understand consumption pattern through software packages.

442 views • 29 slides

Consumption Pattern : SPSS/STATA

Consumption Pattern : SPSS/STATA. Srinivasulu Rajendran Centre for the Study of Regional Development (CSRD) Jawaharlal Nehru University (JNU) New Delhi India r.srinivasulu@gmail.com. Objective of the session. To understand consumption pattern through software packages.

390 views • 29 slides

381 views • 22 slides

Forward displacement, attention and the multiple-object tracking (MOT) task

Forward displacement, attention and the multiple-object tracking (MOT) task. Roy Allen & Peter McGeorge, School of Psychology, University of Aberdeen. Introduction 1. MOT task (Pylyshyn & Storm, 1988)

313 views • 18 slides

Chapter 11

Chapter 11. Analysis of Variance. 11.1: The Completely Randomized Design: One-Way Analysis of Variance. vocabulary completely randomized groups factors levels experimental units, response. Analysis of Variance.

325 views • 18 slides

346 views • 16 slides

Types of Relationships

Types of Relationships. Social scientists are interested in discovering functional relationships between variables. In particular, researchers look for: correlations (association, covariation) among vaariables differences between groups or conditions. The nature of causation.

264 views • 16 slides

Dr Brijesh Patel Clinical Research Fellow Wellcome Trust Clinical PhD Programme

Imperial College Academic Trainees Annual Event The critical roles of TNF receptors in experimental acute lung injury. Dr Brijesh Patel Clinical Research Fellow Wellcome Trust Clinical PhD Programme Anaesthetics, Pain Medicine, and Intensive Care. ALI/ARDS. ALI/ARDS is characterised by:

357 views • 15 slides

Diffusion Tensor Imaging

Diffusion Tensor Imaging. Tim Hughes & Emilie Muelly. DTI Module. Learning objectives Acquisition Fiber orientation distribution function (ODF) Tractography Projects Combining fMRI + DTI to explore face recognition & working memory Comparing and contrasting DTI parameters .

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PROCESS RECORDING

2.45k views • 10 slides

CURE: Prior Stroke or TIA

CURE: Prior Stroke or TIA. (N=506). No significant interaction for any outcome. C= clopidogrel. CURE trial (unpublished data). Courtesy of Dr. John Eikelboom. CURE: Prior Stroke, Age ?75, Weight <60 kg. (N=3495). No significant interaction for any outcome. CURE trial (unpublished data).

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A universal model of predictors of outcome was shown to fit all studies

Outcome Predicators for Rate of Cumulative Abstinence Duration from Individual Patient Data across 16 European and U.S. Double-Blind Placebo-Controlled Trials (N =4457). A universal model of predictors of outcome was shown to fit all studies abstinence at the onset of treatment

117 views • 1 slides