Reading Time [min.] Group
|
|
- Lee Park
- 5 years ago
- Views:
Transcription
1 The exam set contains 8 questions. The questions may contain sub-questions. Make sure to indicate which question you are answering. The questions are weighted according to the percentage in brackets. Please remember to report your arguments, calculations etc. Question 1 (16%) A teacher conducted an experiment to test whether new directed reading activities in the classroom will help elementary school pupils improve their reading ability. She arranged for a class of 11 students ( treatment group) to follow these activities for an 8-week period. A control class of 10 students ( control group) followed the same curriculum without the activities. (The two groups of students were selected independently with no attempt to match). The experiment was ended by a test, where the students were asked to read a text. The reading time (in minutes) was measured and registered in the table below. Reading Time [min.] Group Reading Time [min.] Group 5 treatment 8 control 6 treatment 8 control 6 treatment 9 control 7 treatment 9 control 7 treatment 9 control 7 treatment 10 control 8 treatment 10 control 8 treatment 10 control 9 treatment 11 control 9 treatment 11 control 10 treatment Questions: a) What test would you perform to compare reading time in two groups of students? Do the data satisfy the assumptions for this test? b) What null hypothesis do you choose for your test? c) Perform the test. Explain the results. d) What is your conclusion about the effect of new directed reading activities on pupils reading ability?
2 Question 2 (18%) Description: A group of researchers wanted to investigate whether a new noninvasive method for measuring transmitral volumetric flow (MF) could replace an invasive measure of left ventricular stroke volume (SV). The researchers performed both measurements in 11 healthy subjects as an initial test. The table below shows the results of the two measurements. The researchers defined a clinically acceptable limit of agreement between the two methods of ±16 cm 3. Subject MF (cm 3 ) SV (cm 3 ) a) The plot below shows a Bland-Altman plot comparing the two measurements. Explain what you can conclude from the plot. b) In addition to Bland-Altman plots, which other statistical methods are appropriate to use to compare the two measurement techniques? c) Perform the appropriate analyses in SPSS. Explain what you have done and what can be concluded from the results.
3 Question 3 (15%) A group of researchers wanted to investigate the survival probability in a cohort of patients. They formed a logistic regression model with age as a covariate, gender and smoking habit as categorical factors. a) What is the best single predictor for survival in this group of patients? b) Calculate the regression coefficients for the logistic regression model. c) What is the probability that a 45 year old smoking female patent in the study will survive. Assume that the regression constant, 0, is Parameter odds ratio P Age Gender, female Smoking, Yes Question 4 (18%) A group of researchers have developed 3 magic pills against stress. To test the effect of the anti-stress pills the recruited 20 stress patients and randomly assigned them into 4 groups. One group received a placebo pill and the 3 other groups received one of the magic pills each. The patients were asked to report how long time lasted before they felt stress again. The time-to-stress is shown in the table below (in months). The researchers wanted to compare the 3 treatment groups with the control group. Placebo Pill 1 Pill 2 Pill a) The researchers were considering performing a 1-way ANOVA. Which assumptions must the time-to-stress data fulfill? b) The researcher performed normality tests on the time-to-stress for each group as shown in the table below. What should they conclude? c) Perform the appropriate test for effect of the pills.
4 dimension1 Tests of Normality treatment Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig. outcome control,194 5,200 *,965 5,842 T1,433 5,003,623 5,001 T2,217 5,200 *,925 5,566 T3,221 5,200 *,945 5,703 a. Lilliefors Significance Correction *. This is a lower bound of the true significance. Question 5 (18%) Two randomized, controlled trials comparing Drug1 and Drug2 in the treatment of a disease X were identified from Medline search. In one, there were 77 cases of clinical cure out of 94 patients treated by Drug1 compared with 67 cases of clinical cure in 100 patients treated by Drug2; in the other trial the clinical cure rates were 255/276 for the Drug1 group compared with 241/262 for the Drug2 group. Questions: a) Why did researches choose a randomized controlled trial design for these two studies? Would you use other designs? b) What is the overall odds ratio (for receiving Drug1 therapy among clinically cured patients compared to those who were not clinically cured) across two studies? Explain the result c) What is the confidence interval for this overall odds ratio? What does this confidence interval mean? d) Is there significant heterogeneity between the results in these two studies? Question 6 (5%) In addition to the scientific field, list the key factors for determining where to apply for funds from the Danish research councils and foundations. Question 7 (5%) a) List the ethical issues which should be considered in the trial protocol before its submission to a regional ethical committee. b) At which point should trial subjects be informed of ethical issues?
5 Question 8 (5%) Describe at least three weaknesses in the following patent claim. A device for determining cardiac contractility from electrocardiography relating to an individual, comprising three Ag-AgCl electrodes for non-invasive recording of electrical signals on the chest of the individual, a data collection device, having means for collecting measurements from the three Ag- AgCl electrodes, a laptop, for receiving data from the data collection device and determining the cardiac contractility. This is the end of the exam set
Theoretical Exam. Monday 15 th, Instructor: Dr. Samir Safi. 1. Write your name, student ID and section number.
بسم االله الرحمن الرحيم COMPUTER & DATA ANALYSIS Theoretical Exam FINAL THEORETICAL EXAMINATION Monday 15 th, 2007 Instructor: Dr. Samir Safi Name: ID Number: Instructor: INSTRUCTIONS: 1. Write your name,
More informationCHAPTER III RESEARCH METHODOLOGY
CHAPTER III RESEARCH METHODOLOGY 3.1 Introduction This chapter discusses overview of the methodological aspects of the study. The overview comprises of seven parts; the research design, population and
More informationDaniel Boduszek University of Huddersfield
Daniel Boduszek University of Huddersfield d.boduszek@hud.ac.uk Introduction to Multinominal Logistic Regression SPSS procedure of MLR Example based on prison data Interpretation of SPSS output Presenting
More information1. You want to find out what factors predict achievement in English. Develop a model that
Questions and answers for Chapter 10 1. You want to find out what factors predict achievement in English. Develop a model that you think can explain this. As usual many alternative predictors are possible
More informationHere are the various choices. All of them are found in the Analyze menu in SPSS, under the sub-menu for Descriptive Statistics :
Descriptive Statistics in SPSS When first looking at a dataset, it is wise to use descriptive statistics to get some idea of what your data look like. Here is a simple dataset, showing three different
More informationTutorial 3: MANOVA. Pekka Malo 30E00500 Quantitative Empirical Research Spring 2016
Tutorial 3: Pekka Malo 30E00500 Quantitative Empirical Research Spring 2016 Step 1: Research design Adequacy of sample size Choice of dependent variables Choice of independent variables (treatment effects)
More informationDaniel Boduszek University of Huddersfield
Daniel Boduszek University of Huddersfield d.boduszek@hud.ac.uk Introduction to Logistic Regression SPSS procedure of LR Interpretation of SPSS output Presenting results from LR Logistic regression is
More informationSTATISTICS 8 CHAPTERS 1 TO 6, SAMPLE MULTIPLE CHOICE QUESTIONS
STATISTICS 8 CHAPTERS 1 TO 6, SAMPLE MULTIPLE CHOICE QUESTIONS Circle the best answer. This scenario applies to Questions 1 and 2: A study was done to compare the lung capacity of coal miners to the lung
More informationProblem #1 Neurological signs and symptoms of ciguatera poisoning as the start of treatment and 2.5 hours after treatment with mannitol.
Ho (null hypothesis) Ha (alternative hypothesis) Problem #1 Neurological signs and symptoms of ciguatera poisoning as the start of treatment and 2.5 hours after treatment with mannitol. Hypothesis: Ho:
More informationChi-square test. Wenli Lu Dept. Health statistics School of public health Tianjin medical university. Chi-square
Chi-square test Wenli Lu Dept. Health statistics School of public health Tianjin medical university Chi-square =0 O E ( O E) ( O E) 2 1 Example Is there difference of gender distribution between treatment
More information0= Perempuan, 1= Laki-Laki
Responden Menurut Umur Descriptive Statistics N Minimum Maximum Mean Std. Deviation Umur 34 21 56 28,12 6,763 Valid N (listwise) 34 Responden Menurut Jenis Kelamin 0= Perempuan, 1= Laki-Laki Jenis_Kelamin
More informationSimple Linear Regression One Categorical Independent Variable with Several Categories
Simple Linear Regression One Categorical Independent Variable with Several Categories Does ethnicity influence total GCSE score? We ve learned that variables with just two categories are called binary
More informationMULTIPLE LINEAR REGRESSION 24.1 INTRODUCTION AND OBJECTIVES OBJECTIVES
24 MULTIPLE LINEAR REGRESSION 24.1 INTRODUCTION AND OBJECTIVES In the previous chapter, simple linear regression was used when you have one independent variable and one dependent variable. This chapter
More informationResearch paper. One-way Analysis of Variance (ANOVA) Research paper. SPSS output. Learning objectives. Alcohol and driving ability
Research paper Alcohol and driving ability One-way Analysis of Variance (ANOVA) Thirty-six people took part in an experiment to discover the effects of alcohol on drinking ability. They were randomly assigned
More informationExplore. sexcntry Sex according to country. [DataSet1] D:\NORA\NORA Main File.sav
EXAMINE VARIABLES=nc228 BY sexcntry /PLOT BOXPLOT HISTOGRAM NPPLOT /COMPARE GROUPS /STATISTICS DESCRIPTIVES /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL. Explore Notes Output Created Comments Input Missing
More informationRandomized Block Designs 1
Randomized Block Designs 1 STA305 Winter 2014 1 See last slide for copyright information. 1 / 1 Background Reading Optional Photocopy 2 from an old textbook; see course website. It s only four pages. The
More informationStatistical Reasoning in Public Health Biostatistics 612, 2009, HW#3
Statistical Reasoning in Public Health Biostatistics 612, 2009, HW#3 1. A random sample of 200 patients admitted to an adult intensive care unit (ICU) was collected to examine factors associated with death
More informationFinal Exam Practice Test
Final Exam Practice Test The t distribution and z-score distributions are located in the back of your text book (the appendices) You will be provided with a new copy of each during your final exam True
More informationMidterm Exam ANSWERS Categorical Data Analysis, CHL5407H
Midterm Exam ANSWERS Categorical Data Analysis, CHL5407H 1. Data from a survey of women s attitudes towards mammography are provided in Table 1. Women were classified by their experience with mammography
More informationMidterm Exam MMI 409 Spring 2009 Gordon Bleil
Midterm Exam MMI 409 Spring 2009 Gordon Bleil Table of contents: (Hyperlinked to problem sections) Problem 1 Hypothesis Tests Results Inferences Problem 2 Hypothesis Tests Results Inferences Problem 3
More informationExamining differences between two sets of scores
6 Examining differences between two sets of scores In this chapter you will learn about tests which tell us if there is a statistically significant difference between two sets of scores. In so doing you
More informationEPS 625 INTERMEDIATE STATISTICS TWO-WAY ANOVA IN-CLASS EXAMPLE (FLEXIBILITY)
EPS 625 INTERMEDIATE STATISTICS TO-AY ANOVA IN-CLASS EXAMPLE (FLEXIBILITY) A researcher conducts a study to evaluate the effects of the length of an exercise program on the flexibility of female and male
More informationThe following are questions that students had difficulty with on the first three exams.
The following are questions that students had difficulty with on the first three exams. Exam 1 1. A measure has construct validity if it: a) really measures what it is supposed to measure b) appears, on
More informationChapter 7: Correlation
Chapter 7: Correlation Smart Alex s Solutions Task 1 A student was interested in whether there was a positive relationship between the time spent doing an essay and the mark received. He got 45 of his
More informationBusiness Research Methods. Introduction to Data Analysis
Business Research Methods Introduction to Data Analysis Data Analysis Process STAGES OF DATA ANALYSIS EDITING CODING DATA ENTRY ERROR CHECKING AND VERIFICATION DATA ANALYSIS Introduction Preparation of
More informationIntro to SPSS. Using SPSS through WebFAS
Intro to SPSS Using SPSS through WebFAS http://www.yorku.ca/computing/students/labs/webfas/ Try it early (make sure it works from your computer) If you need help contact UIT Client Services Voice: 416-736-5800
More informationStudy Guide #2: MULTIPLE REGRESSION in education
Study Guide #2: MULTIPLE REGRESSION in education What is Multiple Regression? When using Multiple Regression in education, researchers use the term independent variables to identify those variables that
More informationSUMMER 2011 RE-EXAM PSYF11STAT - STATISTIK
SUMMER 011 RE-EXAM PSYF11STAT - STATISTIK Full Name: Årskortnummer: Date: This exam is made up of three parts: Part 1 includes 30 multiple choice questions; Part includes 10 matching questions; and Part
More informationChapter 14: More Powerful Statistical Methods
Chapter 14: More Powerful Statistical Methods Most questions will be on correlation and regression analysis, but I would like you to know just basically what cluster analysis, factor analysis, and conjoint
More informationMULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) 1) A) B) C) D)
Exam Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) 1) A) B) C) D) Decide whether or not the conditions and assumptions for inference with
More informationSimple Linear Regression
Simple Linear Regression Assoc. Prof Dr Sarimah Abdullah Unit of Biostatistics & Research Methodology School of Medical Sciences, Health Campus Universiti Sains Malaysia Regression Regression analysis
More informationRegression Including the Interaction Between Quantitative Variables
Regression Including the Interaction Between Quantitative Variables The purpose of the study was to examine the inter-relationships among social skills, the complexity of the social situation, and performance
More informationSurvey of Smoking, Drinking and Drug Use (SDD) among young people in England, Andrew Bryant
Survey of Smoking, Drinking and Drug Use (SDD) among young people in England, 2010 Andrew Bryant Newcastle University Institute of Health and Society Background Background Young people s drinking behaviour
More informationOnline Supplementary Appendix
Online Supplementary Appendix This appendix has been provided by the authors to give readers additional information about their work. Supplement to: Lehman * LH, Saeed * M, Talmor D, Mark RG, and Malhotra
More informationREVIEW ARTICLE. A Review of Inferential Statistical Methods Commonly Used in Medicine
A Review of Inferential Statistical Methods Commonly Used in Medicine JCD REVIEW ARTICLE A Review of Inferential Statistical Methods Commonly Used in Medicine Kingshuk Bhattacharjee a a Assistant Manager,
More informationBangor University Laboratory Exercise 1, June 2008
Laboratory Exercise, June 2008 Classroom Exercise A forest land owner measures the outside bark diameters at.30 m above ground (called diameter at breast height or dbh) and total tree height from ground
More informationLogistic Regression Predicting the Chances of Coronary Heart Disease. Multivariate Solutions
Logistic Regression Predicting the Chances of Coronary Heart Disease Multivariate Solutions What is Logistic Regression? Logistic regression in a nutshell: Logistic regression is used for prediction of
More informationPRACTICAL STATISTICS FOR MEDICAL RESEARCH
PRACTICAL STATISTICS FOR MEDICAL RESEARCH Douglas G. Altman Head of Medical Statistical Laboratory Imperial Cancer Research Fund London CHAPMAN & HALL/CRC Boca Raton London New York Washington, D.C. Contents
More informationBasic Biostatistics. Chapter 1. Content
Chapter 1 Basic Biostatistics Jamalludin Ab Rahman MD MPH Department of Community Medicine Kulliyyah of Medicine Content 2 Basic premises variables, level of measurements, probability distribution Descriptive
More informationAge (continuous) Gender (0=Male, 1=Female) SES (1=Low, 2=Medium, 3=High) Prior Victimization (0= Not Victimized, 1=Victimized)
Criminal Justice Doctoral Comprehensive Exam Statistics August 2016 There are two questions on this exam. Be sure to answer both questions in the 3 and half hours to complete this exam. Read the instructions
More informationStatistics as a Tool. A set of tools for collecting, organizing, presenting and analyzing numerical facts or observations.
Statistics as a Tool A set of tools for collecting, organizing, presenting and analyzing numerical facts or observations. Descriptive Statistics Numerical facts or observations that are organized describe
More informationStatistics Assignment 11 - Solutions
Statistics 44.3 Assignment 11 - Solutions 1. Samples were taken of individuals with each blood type to see if the average white blood cell count differed among types. Eleven individuals in each group were
More informationWhy nursing students should understand statistics. Objectives of lecture. Why Statistics? Not to put students off statistics!
Why nursing students should understand statistics Objectives of lecture Not to put students off statistics! Review methods of displaying and summarizing data. Review basic statistical concepts used in
More informationUNIVERSITY OF THE FREE STATE DEPARTMENT OF COMPUTER SCIENCE AND INFORMATICS CSIS6813 MODULE TEST 2
UNIVERSITY OF THE FREE STATE DEPARTMENT OF COMPUTER SCIENCE AND INFORMATICS CSIS6813 MODULE TEST 2 DATE: 3 May 2017 MARKS: 75 ASSESSOR: Prof PJ Blignaut MODERATOR: Prof C de Villiers (UP) TIME: 2 hours
More informationEvaluating EDI* Participant Reactions via Different Response Scales: A Technical Review. Keshav Gaur William A. Eckert
Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized *The World Bank Institute (WBI) was formerly the Economic Development Institute (EDI),
More informationSPSS output for 420 midterm study
Ψ Psy Midterm Part In lab (5 points total) Your professor decides that he wants to find out how much impact amount of study time has on the first midterm. He randomly assigns students to study for hours,
More informationThe Effectiveness of Hypnotherapy to Increase Self-esteem of Patients Treated with Methadone
International Journal of Basic Sciences & Applied Research. Vol., 4 (11), 682-687, 2015 Available online at http://www.isicenter.org ISSN 2147-3749 2015 The Effectiveness of Hypnotherapy to Increase Self-esteem
More informationQuestion 1(25= )
MSG500 Final 20-0-2 Examiner: Rebecka Jörnsten, 060-49949 Remember: To pass this course you also have to hand in a final project to the examiner. Open book, open notes but no calculators or computers allowed.
More informationDr. Kelly Bradley Final Exam Summer {2 points} Name
{2 points} Name You MUST work alone no tutors; no help from classmates. Email me or see me with questions. You will receive a score of 0 if this rule is violated. This exam is being scored out of 00 points.
More informationPatient referral for elective coronary angiography: challenging the current strategy
Patient referral for elective coronary angiography: challenging the current strategy M. Santos, A. Ferreira, A. P. Sousa, J. Brito, R. Calé, L. Raposo, P. Gonçalves, R. Teles, M. Almeida, M. Mendes Cardiology
More informationSTA 3024 Spring 2013 EXAM 3 Test Form Code A UF ID #
STA 3024 Spring 2013 Name EXAM 3 Test Form Code A UF ID # Instructions: This exam contains 34 Multiple Choice questions. Each question is worth 3 points, for a total of 102 points (there are TWO bonus
More informationAssessing Agreement Between Methods Of Clinical Measurement
University of York Department of Health Sciences Measuring Health and Disease Assessing Agreement Between Methods Of Clinical Measurement Based on Bland JM, Altman DG. (1986). Statistical methods for assessing
More informationSmall Group Presentations
Admin Assignment 1 due next Tuesday at 3pm in the Psychology course centre. Matrix Quiz during the first hour of next lecture. Assignment 2 due 13 May at 10am. I will upload and distribute these at the
More informationIndividual Study Table Referring to Item of the Submission: Volume: Page:
2.0 Synopsis Name of Company: Abbott Laboratories Name of Study Drug: Meridia Name of Active Ingredient: Sibutramine hydrochloride monohydrate Individual Study Table Referring to Item of the Submission:
More informationOverview of Non-Parametric Statistics
Overview of Non-Parametric Statistics LISA Short Course Series Mark Seiss, Dept. of Statistics April 7, 2009 Presentation Outline 1. Homework 2. Review of Parametric Statistics 3. Overview Non-Parametric
More informationSPSS output for 420 midterm study
Ψ Psy Midterm Part In lab (5 points total) Your professor decides that he wants to find out how much impact amount of study time has on the first midterm. He randomly assigns students to study for hours,
More informationCHAPTER 3 METHOD AND PROCEDURE
CHAPTER 3 METHOD AND PROCEDURE Previous chapter namely Review of the Literature was concerned with the review of the research studies conducted in the field of teacher education, with special reference
More informationRelationship, Correlation, & Causation DR. MIKE MARRAPODI
Relationship, Correlation, & Causation DR. MIKE MARRAPODI Topics Relationship Correlation Causation Relationship Definition The way in which two or more people or things are connected, or the state of
More informationA Brief (very brief) Overview of Biostatistics. Jody Kreiman, PhD Bureau of Glottal Affairs
A Brief (very brief) Overview of Biostatistics Jody Kreiman, PhD Bureau of Glottal Affairs What We ll Cover Fundamentals of measurement Parametric versus nonparametric tests Descriptive versus inferential
More informationA COMPARISON BETWEEN MULTIVARIATE AND BIVARIATE ANALYSIS USED IN MARKETING RESEARCH
Bulletin of the Transilvania University of Braşov Vol. 5 (54) No. 1-2012 Series V: Economic Sciences A COMPARISON BETWEEN MULTIVARIATE AND BIVARIATE ANALYSIS USED IN MARKETING RESEARCH Cristinel CONSTANTIN
More informationOne-Way ANOVAs t-test two statistically significant Type I error alpha null hypothesis dependant variable Independent variable three levels;
1 One-Way ANOVAs We have already discussed the t-test. The t-test is used for comparing the means of two groups to determine if there is a statistically significant difference between them. The t-test
More informationStatistical questions for statistical methods
Statistical questions for statistical methods Unpaired (two-sample) t-test DECIDE: Does the numerical outcome have a relationship with the categorical explanatory variable? Is the mean of the outcome the
More informationChapter 9: Comparing two means
Chapter 9: Comparing two means Smart Alex s Solutions Task 1 Is arachnophobia (fear of spiders) specific to real spiders or will pictures of spiders evoke similar levels of anxiety? Twelve arachnophobes
More informationChapter 12: Analysis of covariance, ANCOVA
Chapter 12: Analysis of covariance, ANCOVA Smart Alex s Solutions Task 1 A few years back I was stalked. You d think they could have found someone a bit more interesting to stalk, but apparently times
More informationPrevious Example. New. Tradition
Experimental Design Previous Example New Tradition Goal? New Tradition =? Challenges Internal validity How to guarantee what you have observed is true? External validity How to guarantee what you have
More informationVALIDITY OF QUANTITATIVE RESEARCH
Validity 1 VALIDITY OF QUANTITATIVE RESEARCH Recall the basic aim of science is to explain natural phenomena. Such explanations are called theories (Kerlinger, 1986, p. 8). Theories have varying degrees
More informationLearning Objectives 9/9/2013. Hypothesis Testing. Conflicts of Interest. Descriptive statistics: Numerical methods Measures of Central Tendency
Conflicts of Interest I have no conflict of interest to disclose Biostatistics Kevin M. Sowinski, Pharm.D., FCCP Last-Chance Ambulatory Care Webinar Thursday, September 5, 2013 Learning Objectives For
More informationε error εˆ ~ Greenhouse Geisser correction (see p. 25) ε Huynh Feldt correction (see p. 25)
9: Glossary 14 9 Glossary Symbols: implies is equivalent to x mean of a set of values of x ε error εˆ ~ Greenhouse Geisser correction (see p. 5) ε Huynh Feldt correction (see p. 5) µ mean ρ population
More information9/4/2013. Decision Errors. Hypothesis Testing. Conflicts of Interest. Descriptive statistics: Numerical methods Measures of Central Tendency
Conflicts of Interest I have no conflict of interest to disclose Biostatistics Kevin M. Sowinski, Pharm.D., FCCP Pharmacotherapy Webinar Review Course Tuesday, September 3, 2013 Descriptive statistics:
More informationLecture Outline. Biost 590: Statistical Consulting. Stages of Scientific Studies. Scientific Method
Biost 590: Statistical Consulting Statistical Classification of Scientific Studies; Approach to Consulting Lecture Outline Statistical Classification of Scientific Studies Statistical Tasks Approach to
More informationCross-over trials. Martin Bland. Cross-over trials. Cross-over trials. Professor of Health Statistics University of York
Cross-over trials Martin Bland Professor of Health Statistics University of York http://martinbland.co.uk Cross-over trials Use the participant as their own control. Each participant gets more than one
More informationEcological Statistics
A Primer of Ecological Statistics Second Edition Nicholas J. Gotelli University of Vermont Aaron M. Ellison Harvard Forest Sinauer Associates, Inc. Publishers Sunderland, Massachusetts U.S.A. Brief Contents
More informationShort Term (Immediate) Effects of Exercise
Short Term (Immediate) Effects of Exercise https://www.youtube.com/watch?v=wi9bvob9rxy https://www.youtube.com/watch?v=o8ttt3m8qzm&index=7&list=pl qvsmdkc-q6-8xkhb8gz4yxtyteonk9be Short Term (Immediate)
More informationControlled Variables
Controlled Variables A controlled variable is not changed Also called constants Allow for a fair test Answers the question "What do I keep the same?" Students of different ages were given the same jigsaw
More informationANOVA in SPSS (Practical)
ANOVA in SPSS (Practical) Analysis of Variance practical In this practical we will investigate how we model the influence of a categorical predictor on a continuous response. Centre for Multilevel Modelling
More informationAalborg Universitet. Statistical analysis plan Riis, Allan; Karran, E. L. ; Jørgensen, Anette; Holst, S.; Rolving, N. Publication date: 2017
Aalborg Universitet Statistical analysis plan Riis, Allan; Karran, E. L. ; Jørgensen, Anette; Holst, S.; Rolving, N. Publication date: 2017 Document Version Publisher's PDF, also known as Version of record
More informationID# Exam 1 PS 306, Spring 2002
ID# Exam 1 PS 306, Spring 2002 You should recognize the above cartoon as a fanciful way of reminding you that the Skidmore Honor Code is in effect. Work your way through the exam quickly and carefully,
More informationChapter 10: Moderation, mediation and more regression
Chapter 10: Moderation, mediation and more regression Smart Alex s Solutions Task 1 McNulty et al. (2008) found a relationship between a person s Attractiveness and how much Support they give their partner
More informationCHAPTER III METHODOLOGY
24 CHAPTER III METHODOLOGY This chapter presents the methodology of the study. There are three main sub-titles explained; research design, data collection, and data analysis. 3.1. Research Design The study
More informationROC Curves. I wrote, from SAS, the relevant data to a plain text file which I imported to SPSS. The ROC analysis was conducted this way:
ROC Curves We developed a method to make diagnoses of anxiety using criteria provided by Phillip. Would it also be possible to make such diagnoses based on a much more simple scheme, a simple cutoff point
More informationModeling Binary outcome
Statistics April 4, 2013 Debdeep Pati Modeling Binary outcome Test of hypothesis 1. Is the effect observed statistically significant or attributable to chance? 2. Three types of hypothesis: a) tests of
More informationd =.20 which means females earn 2/10 a standard deviation more than males
Sampling Using Cohen s (1992) Two Tables (1) Effect Sizes, d and r d the mean difference between two groups divided by the standard deviation for the data Mean Cohen s d 1 Mean2 Pooled SD r Pearson correlation
More informationIndex. Springer International Publishing Switzerland 2017 T.J. Cleophas, A.H. Zwinderman, Modern Meta-Analysis, DOI /
Index A Adjusted Heterogeneity without Overdispersion, 63 Agenda-driven bias, 40 Agenda-Driven Meta-Analyses, 306 307 Alternative Methods for diagnostic meta-analyses, 133 Antihypertensive effect of potassium,
More informationThe Meta on Meta-Analysis. Presented by Endia J. Lindo, Ph.D. University of North Texas
The Meta on Meta-Analysis Presented by Endia J. Lindo, Ph.D. University of North Texas Meta-Analysis What is it? Why use it? How to do it? Challenges and benefits? Current trends? What is meta-analysis?
More informationTypes of data and how they can be analysed
1. Types of data British Standards Institution Study Day Types of data and how they can be analysed Martin Bland Prof. of Health Statistics University of York http://martinbland.co.uk In this lecture we
More informationPh.D. Comprehensive Examination
DEPARTMENT OF EPIDEMIOLOGY, BIOSTATISTICS, AND OCCUPATIONAL HEALTH Ph.D. Comprehensive Examination Epidemiology Stream Thursday, 6 December 2007 1:00 4:00 PM 1. This is a closed book exam. Bilingual dictionaries
More informationJoseph W Hogan Brown University & AMPATH February 16, 2010
Joseph W Hogan Brown University & AMPATH February 16, 2010 Drinking and lung cancer Gender bias and graduate admissions AMPATH nutrition study Stratification and regression drinking and lung cancer graduate
More informationExperimental Studies. Statistical techniques for Experimental Data. Experimental Designs can be grouped. Experimental Designs can be grouped
Experimental Studies Statistical techniques for Experimental Data Require appropriate manipulations and controls Many different designs Consider an overview of the designs Examples of some of the analyses
More informationBefore we get started:
Before we get started: http://arievaluation.org/projects-3/ AEA 2018 R-Commander 1 Antonio Olmos Kai Schramm Priyalathta Govindasamy Antonio.Olmos@du.edu AntonioOlmos@aumhc.org AEA 2018 R-Commander 2 Plan
More informationEdwards FloTrac Sensor & Performance Assessments of the FloTrac Sensor and Vigileo Monitor
Edwards FloTrac Sensor & Edwards Vigileo Monitor Performance Assessments of the FloTrac Sensor and Vigileo Monitor 1 Topics System Configuration Performance and Validation Dr. William T. McGee, Validation
More informationfirst three years of life
Journal of Epidemiology and Community Health, 1981, 35, 18-184 Parental smoking and lower respiratory illness in the first three years of life D. M. FERGUSSON, L. J. HORWOOD, F. T. SHANNON, AND BRENT TAYLOR
More informationEXPERIMENTAL RESEARCH DESIGNS
ARTHUR PSYC 204 (EXPERIMENTAL PSYCHOLOGY) 14A LECTURE NOTES [02/28/14] EXPERIMENTAL RESEARCH DESIGNS PAGE 1 Topic #5 EXPERIMENTAL RESEARCH DESIGNS As a strict technical definition, an experiment is a study
More informationIAPT: Regression. Regression analyses
Regression analyses IAPT: Regression Regression is the rather strange name given to a set of methods for predicting one variable from another. The data shown in Table 1 and come from a student project
More informationID# Exam 3 PS 217, Spring 2009 (You must use your official student ID)
ID# Exam 3 PS 217, Spring 2009 (You must use your official student ID) As always, the Skidmore Honor Code is in effect. You ll attest to your adherence to the code at the end of the exam. Read each question
More informationWELCOME! Lecture 11 Thommy Perlinger
Quantitative Methods II WELCOME! Lecture 11 Thommy Perlinger Regression based on violated assumptions If any of the assumptions are violated, potential inaccuracies may be present in the estimated regression
More informationSupplementary Online Content
Supplementary Online Content Baker TB, Piper ME, Stein JH, et al. Effects of nicotine patch vs varenicline vs combination nicotine replacement therapy on smoking cessation at 26 weeks: a randomized clinical
More informationCHAPTER VI RESEARCH METHODOLOGY
CHAPTER VI RESEARCH METHODOLOGY 6.1 Research Design Research is an organized, systematic, data based, critical, objective, scientific inquiry or investigation into a specific problem, undertaken with the
More informationMeta-analysis: Basic concepts and analysis
Meta-analysis: Basic concepts and analysis Matthias Egger Institute of Social & Preventive Medicine (ISPM) University of Bern Switzerland www.ispm.ch Outline Rationale Definitions Steps The forest plot
More informationPubH 7405: REGRESSION ANALYSIS. Propensity Score
PubH 7405: REGRESSION ANALYSIS Propensity Score INTRODUCTION: There is a growing interest in using observational (or nonrandomized) studies to estimate the effects of treatments on outcomes. In observational
More informationLecture II: Difference in Difference. Causality is difficult to Show from cross
Review Lecture II: Regression Discontinuity and Difference in Difference From Lecture I Causality is difficult to Show from cross sectional observational studies What caused what? X caused Y, Y caused
More information