Developing and Testing Hypotheses Kuba Glazek, Ph.D. Methodology Expert National Center for Academic and Dissertation Excellence Los Angeles
|
|
- Mary Carr
- 6 years ago
- Views:
Transcription
1 Developing and Testing Hypotheses Kuba Glazek, Ph.D. Methodology Expert National Center for Academic and Dissertation Excellence Los Angeles NATIONAL CENTER FOR ACADEMIC & DISSERTATION EXCELLENCE
2 Overview Literature review Identification of gap(s) Research question development Hypothesis and design Data collection Data analysis Reporting Studies methods diverge upon determination of research question(s) Little previous research: Exploratory study A lot of previous research: Confirmatory study
3 Literature Review Gap Identification Navigate to TCS library site Tutorial: te_to_library_homepage/library%20homepage% 20Navigation.htm Once at the site, search our databases EBSCO PsycARTICLES
4 Literature Review Gap Identification Enter keywords, authors, etc. Review titles and abstracts Download and read pertinent full-text articles Review related literature Studies cited by pertinent articles Studies citing pertinent articles
5 You are here Or is it here?
6 Look for Road Signs Note frequently-cited authors Search databases by author; visit authors websites Seek highly-regarded literature In a seminal study, Smith (1982) discovered Our results are consistent with the now-classic theory of Seek review articles and meta-analyses
7 The more I learn, the more I realize how much I don't know. -Albert Einstein The results of one literature review lead to the beginnings of the next one Revise search according to clues Keywords, instruments, authors Original research question evolves through iteration
8 Typical Results of Review Lack of evidence Your turn to pave the way Converging evidence Do not conduct a redundant study Reiterate research question in light of what is already known Conflicting evidence Investigate differences between studies Measure(s), population(s), etc.
9 Research Question Hypothesis When there is little scientific knowledge about a topic No hypothesis per se Develop open-ended, exploratory research question Typically leads to qualitative study design When there is robust converging evidence Posit precise hypothesis When there is conflicting evidence Posit a hypothesis about potential source of variability
10 Hypothesis Testing Null hypothesis: There is no significant relationship/difference between and Shorthand: H 0 Alternative hypothesis: There is a significant relationship/difference between and Can be non-directional or directional Shorthand: H 1 or H A
11 Quantitative Research Designs Descriptive Observe rates of behavior Correlational Measure strength of relationships between variables Quasi-experimental Compare different groups on measure of interest Experimental
12 Quantitative Criteria for a Valid Study Valid and reliable instrument(s) High-integrity data Sufficient power to detect effect(s) Statistical significance of effect(s) Effect size(s)
13 Choosing a Valid Instrument Internal validity is the degree to which an instrument actually measures the concept or construct it is intended to measure (Slavin, 2007) External validity is the degree to which internally valid results can be generalized to other contexts (Ray, 2009)
14 Choosing a Reliable Instrument Reliability is the degree to which the instrument produces consistent, stable indication of the level of a variable (Slavin, 2007) Test-retest reliability: across time Inter-rater reliability: across researchers/teams Cronbach s α, factor analysis, and metaanalysis used to quantify a measure s reliability
15 Integrity of Data Transcription errors are (statistically) inevitable Must check for missing and erroneous values Test statistical assumptions Assumption Test Data missing at random Missing Value Analysis Normality of distributions Visual inspection of histograms Shapiro-Wilk test Homogeneity of variance Levene s test Influential outliers Mahalanobis distance Standardized DFBeta
16 Integrity of Data Address violations of assumptions Transform variables Remove outliers Use non-parametric tests
17 Power Analysis Determine necessary sample size As sample size increases, so does chance of detecting effects in inherently noisy data Review existing studies related to construct of interest Significant effects (p <.05) obtained using N = Obtained effect sizes (e.g., Cohen s d, Pearson s r, ɳ 2 ) Conduct a priori power analysis Calculate necessary sample size given expected effect size and number of variables Use G*power software:
18 Logic of Hypothesis Testing Difference is assumed to be non-existent unless shown otherwise H 0 is always the assumption to be rejected Assuming there is no effect, what is the probability of obtaining the given difference? If the probability is less than 5% (i.e., p <.05), then we assume that the assumption of a null effect is false (i.e., reject the null hypothesis)
19 Effect Size Significant effects do not necessarily imply important effects Effect size indicates either: Amount of variability in outcome accounted for by predictor (e.g., ɳ 2, Pearson s r) Distance between distributions (e.g., Cohen s d)
20 Power Analysis (part 2) Post hoc power analysis Given obtained effect size, how likely is it that a result is trustworthy? Small effects are difficult to detect If power is low (i.e., <.8), result cannot be taken at face value If a priori power analysis was conducted, this is not an issue
21
22 Thank You! Questions? Web: students/pages/ncade.aspx Phone: (312)
Choosing an Approach for a Quantitative Dissertation: Strategies for Various Variable Types
Choosing an Approach for a Quantitative Dissertation: Strategies for Various Variable Types Kuba Glazek, Ph.D. Methodology Expert National Center for Academic and Dissertation Excellence Outline Thesis
More informationPower Analysis: A Crucial Step in any Social Science Study
Power Analysis: A Crucial Step in any Social Science Study Kuba Glazek, Ph.D. Methodology Expert National Center for Academic and Dissertation Excellence Los Angeles Outline The four elements of a meaningful
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 informationHPS301 Exam Notes- Contents
HPS301 Exam Notes- Contents Week 1 Research Design: What characterises different approaches 1 Experimental Design 1 Key Features 1 Criteria for establishing causality 2 Validity Internal Validity 2 Threats
More informationComparing 3 Means- ANOVA
Comparing 3 Means- ANOVA Evaluation Methods & Statistics- Lecture 7 Dr Benjamin Cowan Research Example- Theory of Planned Behaviour Ajzen & Fishbein (1981) One of the most prominent models of behaviour
More informationFrom Bivariate Through Multivariate Techniques
A p p l i e d S T A T I S T I C S From Bivariate Through Multivariate Techniques R e b e c c a M. W a r n e r University of New Hampshire DAI HOC THAI NGUYEN TRUNG TAM HOC LIEU *)SAGE Publications '55'
More informationPsychology 205, Revelle, Fall 2014 Research Methods in Psychology Mid-Term. Name:
Name: 1. (2 points) What is the primary advantage of using the median instead of the mean as a measure of central tendency? It is less affected by outliers. 2. (2 points) Why is counterbalancing important
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 information04/12/2014. Research Methods in Psychology. Chapter 6: Independent Groups Designs. What is your ideas? Testing
Research Methods in Psychology Chapter 6: Independent Groups Designs 1 Why Psychologists Conduct Experiments? What is your ideas? 2 Why Psychologists Conduct Experiments? Testing Hypotheses derived from
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 informationSummary & Conclusion. Lecture 10 Survey Research & Design in Psychology James Neill, 2016 Creative Commons Attribution 4.0
Summary & Conclusion Lecture 10 Survey Research & Design in Psychology James Neill, 2016 Creative Commons Attribution 4.0 Overview 1. Survey research and design 1. Survey research 2. Survey design 2. Univariate
More informationVariables Research involves trying to determine the relationship between two or more variables.
1 2 Research Methodology Week 4 Characteristics of Observations 1. Most important know what is being observed. 2. Assign behaviors to categories. 3. Know how to Measure. 4. Degree of Observer inference.
More informationResearch Methodology. Characteristics of Observations. Variables 10/18/2016. Week Most important know what is being observed.
Research Methodology 1 Characteristics of Observations 1. Most important know what is being observed. 2. Assign behaviors to categories. 3. Know how to Measure. 4. Degree of Observer inference. 2 Variables
More informationResearch Questions and Survey Development
Research Questions and Survey Development R. Eric Heidel, PhD Associate Professor of Biostatistics Department of Surgery University of Tennessee Graduate School of Medicine Research Questions 1 Research
More informationWhat you should know before you collect data. BAE 815 (Fall 2017) Dr. Zifei Liu
What you should know before you collect data BAE 815 (Fall 2017) Dr. Zifei Liu Zifeiliu@ksu.edu Types and levels of study Descriptive statistics Inferential statistics How to choose a statistical test
More informationOne-Way Independent ANOVA
One-Way Independent ANOVA Analysis of Variance (ANOVA) is a common and robust statistical test that you can use to compare the mean scores collected from different conditions or groups in an experiment.
More informationSurvey research (Lecture 1) Summary & Conclusion. Lecture 10 Survey Research & Design in Psychology James Neill, 2015 Creative Commons Attribution 4.
Summary & Conclusion Lecture 10 Survey Research & Design in Psychology James Neill, 2015 Creative Commons Attribution 4.0 Overview 1. Survey research 2. Survey design 3. Descriptives & graphing 4. Correlation
More informationSurvey research (Lecture 1)
Summary & Conclusion Lecture 10 Survey Research & Design in Psychology James Neill, 2015 Creative Commons Attribution 4.0 Overview 1. Survey research 2. Survey design 3. Descriptives & graphing 4. Correlation
More informationChapter 12: Introduction to Analysis of Variance
Chapter 12: Introduction to Analysis of Variance of Variance Chapter 12 presents the general logic and basic formulas for the hypothesis testing procedure known as analysis of variance (ANOVA). The purpose
More informationStudy Guide for the Final Exam
Study Guide for the Final Exam When studying, remember that the computational portion of the exam will only involve new material (covered after the second midterm), that material from Exam 1 will make
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 informationAnalysis of the Reliability and Validity of an Edgenuity Algebra I Quiz
Analysis of the Reliability and Validity of an Edgenuity Algebra I Quiz This study presents the steps Edgenuity uses to evaluate the reliability and validity of its quizzes, topic tests, and cumulative
More informationNEED A SAMPLE SIZE? How to work with your friendly biostatistician!!!
NEED A SAMPLE SIZE? How to work with your friendly biostatistician!!! BERD Pizza & Pilots November 18, 2013 Emily Van Meter, PhD Assistant Professor Division of Cancer Biostatistics Overview Why do we
More informationCHAMP: CHecklist for the Appraisal of Moderators and Predictors
CHAMP - Page 1 of 13 CHAMP: CHecklist for the Appraisal of Moderators and Predictors About the checklist In this document, a CHecklist for the Appraisal of Moderators and Predictors (CHAMP) is presented.
More informationDesigns. February 17, 2010 Pedro Wolf
Designs February 17, 2010 Pedro Wolf Today Sampling Correlational Design Experimental Designs Quasi-experimental Design Mixed Designs Multifactioral Design Sampling Overview Sample- A subset of a population
More informationA Cochrane systematic review of interventions to improve hearing aid use
A Cochrane systematic review of interventions to improve hearing aid use Fiona Barker f.barker@surrey.ac.uk Department of Healthcare Management and Policy The context Hearing loss is a common long term
More informationOverview of Lecture. Survey Methods & Design in Psychology. Correlational statistics vs tests of differences between groups
Survey Methods & Design in Psychology Lecture 10 ANOVA (2007) Lecturer: James Neill Overview of Lecture Testing mean differences ANOVA models Interactions Follow-up tests Effect sizes Parametric Tests
More informationCitation for published version (APA): Ebbes, P. (2004). Latent instrumental variables: a new approach to solve for endogeneity s.n.
University of Groningen Latent instrumental variables Ebbes, P. IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document
More informationBayesian and Frequentist Approaches
Bayesian and Frequentist Approaches G. Jogesh Babu Penn State University http://sites.stat.psu.edu/ babu http://astrostatistics.psu.edu All models are wrong But some are useful George E. P. Box (son-in-law
More informationC2 Training: August 2010
C2 Training: August 2010 Introduction to meta-analysis The Campbell Collaboration www.campbellcollaboration.org Pooled effect sizes Average across studies Calculated using inverse variance weights Studies
More informationAS Psychology Curriculum Plan & Scheme of work
AS Psychology Curriculum Plan & Scheme of work 2015-16 Week Content Further detail and reference to specification H/w. Reading & Notes, Resources, Extension activities Hodder textbook pages 1-12 Hodder
More informationSEMINAR ON SERVICE MARKETING
SEMINAR ON SERVICE MARKETING Tracy Mary - Nancy LOGO John O. Summers Indiana University Guidelines for Conducting Research and Publishing in Marketing: From Conceptualization through the Review Process
More informationReliability of Ordination Analyses
Reliability of Ordination Analyses Objectives: Discuss Reliability Define Consistency and Accuracy Discuss Validation Methods Opening Thoughts Inference Space: What is it? Inference space can be defined
More information4 Diagnostic Tests and Measures of Agreement
4 Diagnostic Tests and Measures of Agreement Diagnostic tests may be used for diagnosis of disease or for screening purposes. Some tests are more effective than others, so we need to be able to measure
More informationGeorgina Salas. Topics EDCI Intro to Research Dr. A.J. Herrera
Homework assignment topics 51-63 Georgina Salas Topics 51-63 EDCI Intro to Research 6300.62 Dr. A.J. Herrera Topic 51 1. Which average is usually reported when the standard deviation is reported? The mean
More informationLecture 4: Research Approaches
Lecture 4: Research Approaches Lecture Objectives Theories in research Research design approaches ú Experimental vs. non-experimental ú Cross-sectional and longitudinal ú Descriptive approaches How to
More informationBy Hui Bian Office for Faculty Excellence
By Hui Bian Office for Faculty Excellence 1 Email: bianh@ecu.edu Phone: 328-5428 Location: 1001 Joyner Library, room 1006 Office hours: 8:00am-5:00pm, Monday-Friday 2 Educational tests and regular surveys
More informationStatistical reports Regression, 2010
Statistical reports Regression, 2010 Niels Richard Hansen June 10, 2010 This document gives some guidelines on how to write a report on a statistical analysis. The document is organized into sections that
More informationCRITICAL EVALUATION OF BIOMEDICAL LITERATURE
Chapter 9 CRITICAL EVALUATION OF BIOMEDICAL LITERATURE M.G.Rajanandh, Department of Pharmacy Practice, SRM College of Pharmacy, SRM University. INTRODUCTION Reviewing the Biomedical Literature poses a
More informationLessons in biostatistics
Lessons in biostatistics The test of independence Mary L. McHugh Department of Nursing, School of Health and Human Services, National University, Aero Court, San Diego, California, USA Corresponding author:
More informationPTHP 7101 Research 1 Chapter Assignments
PTHP 7101 Research 1 Chapter Assignments INSTRUCTIONS: Go over the questions/pointers pertaining to the chapters and turn in a hard copy of your answers at the beginning of class (on the day that it is
More informationWebinar 3 Systematic Literature Review: What you Need to Know
Webinar 3 Systematic Literature Review: What you Need to Know Camille Kolotylo RN, PhD Andrea Baumann RN, PhD Nursing Health Services Research Unit (NHSRU) McMaster University Date: Thursday May 29, 2014
More informationSix Sigma Glossary Lean 6 Society
Six Sigma Glossary Lean 6 Society ABSCISSA ACCEPTANCE REGION ALPHA RISK ALTERNATIVE HYPOTHESIS ASSIGNABLE CAUSE ASSIGNABLE VARIATIONS The horizontal axis of a graph The region of values for which the null
More informationA Short Primer on Power Calculations for Meta-analysis
A Short Primer on Power Calculations for Meta-analysis Terri Pigott, Associate Provost for Research, Loyola University Chicago Editor, Methods Coordinating Group, Campbell Collaboration A webcast series
More informationAssignment #6. Chapter 10: 14, 15 Chapter 11: 14, 18. Due tomorrow Nov. 6 th by 2pm in your TA s homework box
Assignment #6 Chapter 10: 14, 15 Chapter 11: 14, 18 Due tomorrow Nov. 6 th by 2pm in your TA s homework box Assignment #7 Chapter 12: 18, 24 Chapter 13: 28 Due next Friday Nov. 13 th by 2pm in your TA
More informationStatistics Guide. Prepared by: Amanda J. Rockinson- Szapkiw, Ed.D.
This guide contains a summary of the statistical terms and procedures. This guide can be used as a reference for course work and the dissertation process. However, it is recommended that you refer to statistical
More informationAcademic and Psychological Axis of Research Guidance
Academic and Psychological Axis of Research Guidance Dr. V.D.Swaminathan, Professor of Psychology, University of Madras. E-mail: guruswami.59@gmail.com Academic Axis 1. Sound theoretical basis 2. Conceptual
More informationDescribe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo
Please note the page numbers listed for the Lind book may vary by a page or two depending on which version of the textbook you have. Readings: Lind 1 11 (with emphasis on chapters 10, 11) Please note chapter
More informationI. Identifying the question Define Research Hypothesis and Questions
Term Paper I. Identifying the question What is the question? (What are my hypotheses?) Is it possible to answer the question with statistics? Is the data obtainable? (birth weight, socio economic, drugs,
More informationThe moderating impact of temporal separation on the association between intention and physical activity: a meta-analysis
PSYCHOLOGY, HEALTH & MEDICINE, 2016 VOL. 21, NO. 5, 625 631 http://dx.doi.org/10.1080/13548506.2015.1080371 The moderating impact of temporal separation on the association between intention and physical
More informationDay 11: Measures of Association and ANOVA
Day 11: Measures of Association and ANOVA Daniel J. Mallinson School of Public Affairs Penn State Harrisburg mallinson@psu.edu PADM-HADM 503 Mallinson Day 11 November 2, 2017 1 / 45 Road map Measures of
More informationUniversity of Wollongong. Research Online. Australian Health Services Research Institute
University of Wollongong Research Online Australian Health Services Research Institute Faculty of Business 2011 Measurement of error Janet E. Sansoni University of Wollongong, jans@uow.edu.au Publication
More informationOverview. Survey Methods & Design in Psychology. Readings. Significance Testing. Significance Testing. The Logic of Significance Testing
Survey Methods & Design in Psychology Lecture 11 (2007) Significance Testing, Power, Effect Sizes, Confidence Intervals, Publication Bias, & Scientific Integrity Overview Significance testing Inferential
More informationChapter 2. The Research Process: Coming to Terms Pearson Prentice Hall, Salkind. 1
Chapter 2 The Research Process: Coming to Terms 2009 Pearson Prentice Hall, Salkind. 1 CHAPTER OBJECTIVES - STUDENTS SHOULD BE ABLE TO: Describe the research process from formulating questions to seeking
More informationMethodological Issues in Measuring the Development of Character
Methodological Issues in Measuring the Development of Character Noel A. Card Department of Human Development and Family Studies College of Liberal Arts and Sciences Supported by a grant from the John Templeton
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 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 informationHumane League Labs. Sabine Doebel, Susan Gabriel, and The Humane League
Report: Does Encouraging The Public To Eat Vegan, Eat Vegetarian, Eat Less Meat, or Cut Out Or Cut Back On Meat And Other Animal Products Lead To The Most Diet Change? Sabine Doebel, Susan Gabriel, and
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 informationKidane Tesfu Habtemariam, MASTAT, Principle of Stat Data Analysis Project work
1 1. INTRODUCTION Food label tells the extent of calories contained in the food package. The number tells you the amount of energy in the food. People pay attention to calories because if you eat more
More informationPsychology Research Process
Psychology Research Process Logical Processes Induction Observation/Association/Using Correlation Trying to assess, through observation of a large group/sample, what is associated with what? Examples:
More informationHS Exam 1 -- March 9, 2006
Please write your name on the back. Don t forget! Part A: Short answer, multiple choice, and true or false questions. No use of calculators, notes, lab workbooks, cell phones, neighbors, brain implants,
More informationExperimental Research in HCI. Alma Leora Culén University of Oslo, Department of Informatics, Design
Experimental Research in HCI Alma Leora Culén University of Oslo, Department of Informatics, Design almira@ifi.uio.no INF2260/4060 1 Oslo, 15/09/16 Review Method Methodology Research methods are simply
More information7 Statistical Issues that Researchers Shouldn t Worry (So Much) About
7 Statistical Issues that Researchers Shouldn t Worry (So Much) About By Karen Grace-Martin Founder & President About the Author Karen Grace-Martin is the founder and president of The Analysis Factor.
More informationPsychometric Instrument Development
Psychometric Instrument Development Image source: http://commons.wikimedia.org/wiki/file:soft_ruler.jpg, CC-by-SA 3.0 Lecture 6 Survey Research & Design in Psychology James Neill, 2017 Creative Commons
More informationPsychometric Instrument Development
Psychometric Instrument Development Image source: http://commons.wikimedia.org/wiki/file:soft_ruler.jpg, CC-by-SA 3.0 Lecture 6 Survey Research & Design in Psychology James Neill, 2017 Creative Commons
More informationUnit outcomes. Summary & Conclusion. Lecture 10 Survey Research & Design in Psychology James Neill, 2018 Creative Commons Attribution 4.0.
Summary & Conclusion Image source: http://commons.wikimedia.org/wiki/file:pair_of_merops_apiaster_feeding_cropped.jpg Lecture 10 Survey Research & Design in Psychology James Neill, 2018 Creative Commons
More informationUnit outcomes. Summary & Conclusion. Lecture 10 Survey Research & Design in Psychology James Neill, 2018 Creative Commons Attribution 4.0.
Summary & Conclusion Image source: http://commons.wikimedia.org/wiki/file:pair_of_merops_apiaster_feeding_cropped.jpg Lecture 10 Survey Research & Design in Psychology James Neill, 2018 Creative Commons
More informationStatistical Techniques. Masoud Mansoury and Anas Abulfaraj
Statistical Techniques Masoud Mansoury and Anas Abulfaraj What is Statistics? https://www.youtube.com/watch?v=lmmzj7599pw The definition of Statistics The practice or science of collecting and analyzing
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 informationReadings Assumed knowledge
3 N = 59 EDUCAT 59 TEACHG 59 CAMP US 59 SOCIAL Analysis of Variance 95% CI Lecture 9 Survey Research & Design in Psychology James Neill, 2012 Readings Assumed knowledge Howell (2010): Ch3 The Normal Distribution
More informationAnalysis of Variance (ANOVA)
Research Methods and Ethics in Psychology Week 4 Analysis of Variance (ANOVA) One Way Independent Groups ANOVA Brief revision of some important concepts To introduce the concept of familywise error rate.
More informationValidity and reliability of measurements
Validity and reliability of measurements 2 3 Request: Intention to treat Intention to treat and per protocol dealing with cross-overs (ref Hulley 2013) For example: Patients who did not take/get the medication
More informationReliability and Validity checks S-005
Reliability and Validity checks S-005 Checking on reliability of the data we collect Compare over time (test-retest) Item analysis Internal consistency Inter-rater agreement Compare over time Test-Retest
More informationProfile Analysis. Intro and Assumptions Psy 524 Andrew Ainsworth
Profile Analysis Intro and Assumptions Psy 524 Andrew Ainsworth Profile Analysis Profile analysis is the repeated measures extension of MANOVA where a set of DVs are commensurate (on the same scale). Profile
More informationADMS Sampling Technique and Survey Studies
Principles of Measurement Measurement As a way of understanding, evaluating, and differentiating characteristics Provides a mechanism to achieve precision in this understanding, the extent or quality As
More informationResearch Questions, Variables, and Hypotheses: Part 2. Review. Hypotheses RCS /7/04. What are research questions? What are variables?
Research Questions, Variables, and Hypotheses: Part 2 RCS 6740 6/7/04 1 Review What are research questions? What are variables? Definition Function Measurement Scale 2 Hypotheses OK, now that we know how
More informationThe Research Roadmap Checklist
1/5 The Research Roadmap Checklist Version: December 1, 2007 All enquires to bwhitworth@acm.org This checklist is at http://brianwhitworth.com/researchchecklist.pdf The element details are explained at
More informationCALIFORNIA STATE UNIVERSITY STANISLAUS DEPARTMENT OF SOCIOLOGY ASSESSMENT MODEL
CALIFORNIA STATE UNIVERSITY STANISLAUS DEPARTMENT OF SOCIOLOGY ASSESSMENT MODEL Introduction The purpose of assessment in education is to create a model that can quantify the degree of program success
More informationResearch Approaches Quantitative Approach. Research Methods vs Research Design
Research Approaches Quantitative Approach DCE3002 Research Methodology Research Methods vs Research Design Both research methods as well as research design are crucial for successful completion of any
More informationTwo-Way Independent ANOVA
Two-Way Independent ANOVA Analysis of Variance (ANOVA) a common and robust statistical test that you can use to compare the mean scores collected from different conditions or groups in an experiment. There
More informationTHE USE OF CRONBACH ALPHA RELIABILITY ESTIMATE IN RESEARCH AMONG STUDENTS IN PUBLIC UNIVERSITIES IN GHANA.
Africa Journal of Teacher Education ISSN 1916-7822. A Journal of Spread Corporation Vol. 6 No. 1 2017 Pages 56-64 THE USE OF CRONBACH ALPHA RELIABILITY ESTIMATE IN RESEARCH AMONG STUDENTS IN PUBLIC UNIVERSITIES
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 informationMeasurement and Descriptive Statistics. Katie Rommel-Esham Education 604
Measurement and Descriptive Statistics Katie Rommel-Esham Education 604 Frequency Distributions Frequency table # grad courses taken f 3 or fewer 5 4-6 3 7-9 2 10 or more 4 Pictorial Representations Frequency
More informationSample Size, Power and Sampling Methods
Sample Size, Power and Sampling Methods Mary Ann McBurnie, PhD Senior Investigator, Kaiser Permanente Center for Health Research Steering Committee Chair, Community Health Applied Research Network (CHARN)
More informationClosed Coding. Analyzing Qualitative Data VIS17. Melanie Tory
Closed Coding Analyzing Qualitative Data Tutorial @ VIS17 Melanie Tory A code in qualitative inquiry is most often a word or short phrase that symbolically assigns a summative, salient, essence capturing,
More informationResearch Methods in Social Psychology. Lecture Notes By Halford H. Fairchild Pitzer College September 4, 2013
Research Methods in Social Psychology Lecture Notes By Halford H. Fairchild Pitzer College September 4, 2013 Quiz Review A review of our quiz enables a review of research methods in social psychology.
More informationWhere does "analysis" enter the experimental process?
Lecture Topic : ntroduction to the Principles of Experimental Design Experiment: An exercise designed to determine the effects of one or more variables (treatments) on one or more characteristics (response
More informationOverview of Experimentation
The Basics of Experimentation Overview of Experiments. IVs & DVs. Operational Definitions. Reliability. Validity. Internal vs. External Validity. Classic Threats to Internal Validity. Lab: FP Overview;
More informationControlled Experiments
CHARM Choosing Human-Computer Interaction (HCI) Appropriate Research Methods Controlled Experiments Liz Atwater Department of Psychology Human Factors/Applied Cognition George Mason University lizatwater@hotmail.com
More informationStill important ideas
Readings: OpenStax - Chapters 1 11 + 13 & Appendix D & E (online) Plous - Chapters 2, 3, and 4 Chapter 2: Cognitive Dissonance, Chapter 3: Memory and Hindsight Bias, Chapter 4: Context Dependence Still
More informationExperimental Psychology
Title Experimental Psychology Type Individual Document Map Authors Aristea Theodoropoulos, Patricia Sikorski Subject Social Studies Course None Selected Grade(s) 11, 12 Location Roxbury High School Curriculum
More informationCorrelation and Regression
Dublin Institute of Technology ARROW@DIT Books/Book Chapters School of Management 2012-10 Correlation and Regression Donal O'Brien Dublin Institute of Technology, donal.obrien@dit.ie Pamela Sharkey Scott
More informationCHAPTER III METHODOLOGY AND PROCEDURES. In the first part of this chapter, an overview of the meta-analysis methodology is
CHAPTER III METHODOLOGY AND PROCEDURES In the first part of this chapter, an overview of the meta-analysis methodology is provided. General procedures inherent in meta-analysis are described. The other
More informationMeasuring and Assessing Study Quality
Measuring and Assessing Study Quality Jeff Valentine, PhD Co-Chair, Campbell Collaboration Training Group & Associate Professor, College of Education and Human Development, University of Louisville Why
More informationPsychometric Instrument Development
Psychometric Instrument Development Image source: http://commons.wikimedia.org/wiki/file:soft_ruler.jpg, CC-by-SA 3.0 Lecture 6 Survey Research & Design in Psychology James Neill, 2016 Creative Commons
More informationWhen the Evidence Says, Yes, No, and Maybe So
CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE When the Evidence Says, Yes, No, and Maybe So Attending to and Interpreting Inconsistent Findings Among Evidence-Based Interventions Yale University ABSTRACT
More informationWhat is Beautiful is Good Online: Physical Attractiveness, Social Interactions and Perceived Social Desirability on Facebook Abstract
What is Beautiful is Good Online: Physical Attractiveness, Social Interactions and Perceived Social Desirability on Facebook Abstract The present research examined whether physically attractive Facebook
More informationFormulating the Experiment
Concept Development and Experimentation Course Formulating the Experiment January 29, 2007 Mark R. Sinclair Senior Analyst, Evidence Based Research, Inc. 1500 Breezeport Way, Suite 400 Suffolk, VA 23435
More informationResearch Synthesis and meta-analysis: themes. Graham A. Colditz, MD, DrPH Method Tuuli, MD, MPH
Research Synthesis and meta-analysis: themes Graham A. Colditz, MD, DrPH Method Tuuli, MD, MPH Today Course format Goals, competencies Overview of themes for the class SRMA M19-551 Course Format Lectures»
More information