DATA COLLECTION AND ANALYSIS


 Archibald Blair
 7 years ago
 Views:
Transcription
1 DATA COLLECTION AND ANALYSIS Quality Education for Minorities (QEM) Network HBCUUP Fundamentals of Education Research Workshop Gerunda B. Hughes, Ph.D. August 23, 2013
2 Objectives of the Discussion 2 Discuss important principles of research when engaging in the data collection and analysis phases of the project? Operationalize the variables in the research question(s) Choose appropriate data collection methods Choose appropriate data collection tools Identify and collect from the proper data sources Be acutely aware of timing Avoid sampling error and bias Ensure privacy and confidentiality Store data properly Define the different types of validity and reliability and the relationship between these two important characteristics of data and the results of data analysis. Describe the types of measuring instruments used to collect data in qualitative and quantitative studies.
3 Variables 3 A variable is a construct that can take on two or more values. A constant takes on only one value. For Data Collection, variables must be operationalized. That is, the researcher must define a rule for how a variable is to be measured. Interest in Science may be operationalize as (1) the score on a science interest inventory or questionnaire, or (2) the number of science courses that an individual took during grades 912.
4 Quantitative and Qualitative Variables 4 Quantitative variables are ordinal, interval and ratio variables. Variates differ in magnitude. scores, heights, speed, age, weight Qualitative Variables are nominal or categorical variables. Variates differ in kind. political party affiliation; eye color; gender; race/ethnicity Quantitative variables exist on a continuum that ranges from low to high or less to more. Qualitative variables are qualities about how people or objects differ with no relation to natural order.
5 Measurement Scales 5 Measurement is the process of assigning numbers to characteristics of an object or person. The four measurement scales: Nominal Ordinal Interval Ratio Data collected on different measurement scales require different methods of statistical analysis.
6 Nominal and Ordinal Scales 6 Nominal scales define variables that are categorical. Examples: gender, employment status, marital status, type of school. Ordinal scales classify persons or objects and they also rank them in terms of the degree to which they possess a particular characteristic. Examples: class rank, order of finishing a race. These scales classify persons or objects into two or more categories. It is the lowest level of measurement. These scales permit comparisons of higher/lower, for example, but do not indicate how much higher or lower.
7 Interval and Ratio Scales 7 Interval scales have all the properties of nominal and ordinal scales, and also have equal intervals. Ratio scales have all the properties of the other scales and represents the highest, most precise level of measurement. Examples: Achievement, attitudes, motivation, etc. (educational measures). Examples: Height, weight, time, distance, speed (physical measures). Interval scales do not have a true zero point. A score of zero may indicate the lowest level of performance possible, but does not indicate total absence of the characteristic. Ratio scales have a true zero point. It is meaningful to talk about no distance. Ratio scales also permit comparisons by ratios (Aisha weighs twice as Linda).
8 Types of Scores from Instruments 8 Raw Scores The number or point value of items a person answered correctly on an assessment Normreferenced Scoring A scoring approach in which an individual s performance on an assessment is compared to the performance of others Criterionreferenced Scoring A scoring approach in which an individual s performance on an assessment is compared to a predetermined external standard. Selfreferenced Scoring A scoring approach in which an individual s repeated performances on a single assessment are compared over time.
9 Types of Scores from Instruments 9 Raw Scores Cedric earned a raw score of 92 on his biology test. Normreferenced Scoring Jenelle s has a percentile rank of 92 on her algebra test. Criterionreferenced Scoring Richard earned 92% on his chemistry test. Selfreferenced Scoring Sheri scored 92% higher on this week s geometry quiz than she did on last week s geometry quiz.
10 Independent and Dependent Variables 10 Experimental Research The independent variable (causal or manipulated variable) is the intended cause of the dependent variable (outcome, effect, or criterion variable). NonExperimental Research The independent variable (status variable not manipulated) is the variable that logically has some effect on a dependent variable. Examples of IVs include: gender, raceethnicity, marital status, eye color, employment status, etc.
11 11 Research Questions: Identifying Independent and Dependent Variables Do ninthgrade girls will have different attitudes toward science than ninthgrade boys? Is there a relationship between middleschool students grades and their selfconfidence in science and math? Is personalized instruction from a teacher more effective for increasing students critical thinking skills than computerbased instruction?
12 Data Collection Methods 12 Quantitative Methods Tests Surveys Questionnaires Rubrics Checklists Qualitative Methods Observations Interviews Document Reviews Focus Groups Photographs/Drawings Recordings Social Media/ Phone Calls/Recordings
13 Formats for Data Collection Tools 13 Selection & Supply Methods: Used predominately by quantitative researchers; paper and pencil or electronic. Selection Methods Multiplechoice, truefalse, and matching items Supply Methods Administer a short answer/essay question tests; fill in the blank items; and performance assessments (assessment of a product or a process) Rubrics Interviews, Focus Groups, Observations: Used predominately by qualitative researchers. Data are collected by observation, conversation, or extended written communication.
14 Validity of Assessment Results 14 Validity is the most important characteristic of the assessment results; is concerned with the appropriateness of the interpretations made from assessment results; is best thought of in terms of degree; is specific to the interpretation being made and to the group being assessed.
15 Types of Validity 15 Content Validity the degree to which the assessment results are a reflection of the intended content area. CriterionRelated Validity determined by relating performance on one measure to performance on a second measure. Concurrent Validity (SAT scores and ACT scores) Predictive Validity (SAT scores and freshman g.p.a.; GRE scores and success in first year of graduate school)
16 Types of Validity 16 Construct Validity is the most important form of validity because it asks the fundamental validity question: What is this assessment tool really measuring? Examples Mathematics tests and reading levels Reading and language tests Interest in STEM Consequential Validity  the extent to which the use of assessment results has intended or unintended effects for the user. Test scores and graduation, teacher certification, teacher effectiveness A narrowing of the curriculum and classroom teaching to focus only on what is tested
17 Reliability of Measuring Instruments 17 Reliability is the degree to which a test consistently measures whatever it is measuring. Reliability is expressed as a reliability coefficient which is obtained by using correlation. Error is present in all measurement. High reliability means small errors of measurement.
18 Types of Reliability 18 Testretest Reliability Equivalentforms Reliability Internal Consistency Reliability SplitHalf Reliability Cronbach s Alpha Reliability Scorer/Rater Reliability
19 19 Validity and Reliability of Instruments A valid test is always reliable, but a reliable test is not always valid.
20 Validity and Reliability of Observational Data 20 Factors that influence the validity and reliability of observational data: The research question Errors of measurement Training of the observer(s) results in familiarity with the setting the culture the focus of the study the observation protocol how to record data (and not summaries or personal opinions)
21 Data Collection Procedures and Environments 21 Every effort should be made to ensure appropriate data collection procedures and ideal environments (e.g., test administration conditions such as proper lighting, minimum noise level, comfortable seating, etc.) Failing to administer procedures precisely or altering the administration procedures, especially on standardized tests, lowers the validity of the test. High noise levels may be a distraction to study participants during data collection.
22 DATA ANALYSIS
23 Types of Statistics Descriptive Statistics Descriptive statistics are used to organize, describe, and summarize a set of data. Inferential Statistics Inferential statistics are used to draw inferences about the conditions that exist in a population from study of a sample drawn from that population.
24 Types of Statistics Analyses in Quantitative Research Descriptive Statistics Measures of central tendency Mean, median, mode Measures of variability Range, variance, standard deviation, semiinterquartile range Effect Size Inferential Statistics Parametric Tests ttests, Analysis of variance (ANOVA), Regression analysis Nonparametric Tests ChiSquare test; the sign test
25 Inferential Statistics Types of hypotheses Research hypothesis Null hypothesis Tests of the null hypothesis among Relationships Means Proportions
26 Correlational Techniques Correlation: A measure of the degree of association between two or more variables. Pearson s correlation, r; (both variables are continuous and quantitative) Mathematics achievement and mathematics anxiety Phi coefficient is the Pearson correlation for two variables that are both qualitative and dichotomous Gender and Science major or not Spearman s rho (both variables are expressed as ranks) Class rank and ranking in a science fair competition
27 Tests of Significance Simple Analysis of Variance: one independent variablegender, and one dependent variable  college gpa. MultiFactor Analysis of Variance: (two or more independent variables  gender, SES, participation in summer bridge program; and one dependent variable, college freshman gpa). Multiple Regression: tells us how much of the variance in the dependent variable (e.g., ontime graduation ) is explained by the set of independent variables (e.g., high school gpa, SAT/ACT mathematics and verbal scores, freshman college gpa).
28 Correlational Techniques Correlation: A measure of the degree of association between two or more variables. Biserial correlation (one variable is continuous and quantitative and the other would be, expect it has been reduced to two categories) Multiple correlation, R, is the Pearson correlation between the variable to be predicted and the bestweighted combination of several predictors. To calculate R, we must know Pearson s r between each pair of variables.
29 Data Analysis in Qualitative Research Engage in a great deal of analysis before data collection is complete. Reflect on two questions Is the research questions still answerable? Are the data collection techniques catching the kind of data that is wanted and filtering out the data that is not wanted? Avoid premature actions based on early analysis and interpretation of data.
30 Data Analysis in Qualitative Research Qualitative data analysis is a cyclical, iterative process of reviewing data for common topics or themes. One approach is to follow three iterative steps: Reading and memoing Describing what is going on in the setting Classifying research data
31 Data Analysis in Qualitative Research Constant Comparative Analysis Phenomenological Approaches Ethnographic Methods Narrative Analysis & Discourse Analysis
32 Data Analysis Strategies Identifying Themes  emerges for ideas found in the review of the literature and the data collection. Coding  the process of marking units of text with codes or labels as a way to indicate patterns and meaning in data. Asking questions Who is centrally involved? ; What major activities or issues are relevant to the problem? Then seeking answers in the data. Concept Mapping a visual display of the major influences that have affected the study.
33 33 Questions?
DATA ANALYSIS. QEM Network HBCUUP Fundamentals of Education Research Workshop Gerunda B. Hughes, Ph.D. Howard University
DATA ANALYSIS QEM Network HBCUUP Fundamentals of Education Research Workshop Gerunda B. Hughes, Ph.D. Howard University Quantitative Research What is Statistics? Statistics (as a subject) is the science
More informationGuided Reading 9 th Edition. informed consent, protection from harm, deception, confidentiality, and anonymity.
Guided Reading Educational Research: Competencies for Analysis and Applications 9th Edition EDFS 635: Educational Research Chapter 1: Introduction to Educational Research 1. List and briefly describe the
More informationII. DISTRIBUTIONS distribution normal distribution. standard scores
Appendix D Basic Measurement And Statistics The following information was developed by Steven Rothke, PhD, Department of Psychology, Rehabilitation Institute of Chicago (RIC) and expanded by Mary F. Schmidt,
More informationStatistics. Measurement. Scales of Measurement 7/18/2012
Statistics Measurement Measurement is defined as a set of rules for assigning numbers to represent objects, traits, attributes, or behaviors A variableis something that varies (eye color), a constant does
More informationDescriptive Statistics
Descriptive Statistics Primer Descriptive statistics Central tendency Variation Relative position Relationships Calculating descriptive statistics Descriptive Statistics Purpose to describe or summarize
More informationDESCRIPTIVE STATISTICS. The purpose of statistics is to condense raw data to make it easier to answer specific questions; test hypotheses.
DESCRIPTIVE STATISTICS The purpose of statistics is to condense raw data to make it easier to answer specific questions; test hypotheses. DESCRIPTIVE VS. INFERENTIAL STATISTICS Descriptive To organize,
More informationAdditional sources Compilation of sources: http://lrs.ed.uiuc.edu/tseportal/datacollectionmethodologies/jintselink/tselink.htm
Mgt 540 Research Methods Data Analysis 1 Additional sources Compilation of sources: http://lrs.ed.uiuc.edu/tseportal/datacollectionmethodologies/jintselink/tselink.htm http://web.utk.edu/~dap/random/order/start.htm
More informationResearch Methods & Experimental Design
Research Methods & Experimental Design 16.422 Human Supervisory Control April 2004 Research Methods Qualitative vs. quantitative Understanding the relationship between objectives (research question) and
More informationThere are three kinds of people in the world those who are good at math and those who are not. PSY 511: Advanced Statistics for Psychological and Behavioral Research 1 Positive Views The record of a month
More informationWHAT IS A JOURNAL CLUB?
WHAT IS A JOURNAL CLUB? With its September 2002 issue, the American Journal of Critical Care debuts a new feature, the AJCC Journal Club. Each issue of the journal will now feature an AJCC Journal Club
More informationElementary Statistics
Elementary Statistics Chapter 1 Dr. Ghamsary Page 1 Elementary Statistics M. Ghamsary, Ph.D. Chap 01 1 Elementary Statistics Chapter 1 Dr. Ghamsary Page 2 Statistics: Statistics is the science of collecting,
More informationCorrelational Research. Correlational Research. Stephen E. Brock, Ph.D., NCSP EDS 250. Descriptive Research 1. Correlational Research: Scatter Plots
Correlational Research Stephen E. Brock, Ph.D., NCSP California State University, Sacramento 1 Correlational Research A quantitative methodology used to determine whether, and to what degree, a relationship
More informationIntroduction to Statistics Used in Nursing Research
Introduction to Statistics Used in Nursing Research Laura P. Kimble, PhD, RN, FNPC, FAAN Professor and Piedmont Healthcare Endowed Chair in Nursing Georgia Baptist College of Nursing Of Mercer University
More informationSTA201TE. 5. Measures of relationship: correlation (5%) Correlation coefficient; Pearson r; correlation and causation; proportion of common variance
Principles of Statistics STA201TE This TECEP is an introduction to descriptive and inferential statistics. Topics include: measures of central tendency, variability, correlation, regression, hypothesis
More informationIntroduction to Quantitative Methods
Introduction to Quantitative Methods October 15, 2009 Contents 1 Definition of Key Terms 2 2 Descriptive Statistics 3 2.1 Frequency Tables......................... 4 2.2 Measures of Central Tendencies.................
More informationStatistics Review PSY379
Statistics Review PSY379 Basic concepts Measurement scales Populations vs. samples Continuous vs. discrete variable Independent vs. dependent variable Descriptive vs. inferential stats Common analyses
More informationBasic Concepts in Research and Data Analysis
Basic Concepts in Research and Data Analysis Introduction: A Common Language for Researchers...2 Steps to Follow When Conducting Research...3 The Research Question... 3 The Hypothesis... 4 Defining the
More informationAnalyzing Research Data Using Excel
Analyzing Research Data Using Excel Fraser Health Authority, 2012 The Fraser Health Authority ( FH ) authorizes the use, reproduction and/or modification of this publication for purposes other than commercial
More informationNursing Journal Toolkit: Critiquing a Quantitative Research Article
A Virtual World Consortium: Using Second Life to Facilitate Nursing Journal Clubs Nursing Journal Toolkit: Critiquing a Quantitative Research Article 1. Guidelines for Critiquing a Quantitative Research
More informationTHE UNIVERSITY OF TEXAS AT TYLER COLLEGE OF NURSING COURSE SYLLABUS NURS 5317 STATISTICS FOR HEALTH PROVIDERS. Fall 2013
THE UNIVERSITY OF TEXAS AT TYLER COLLEGE OF NURSING 1 COURSE SYLLABUS NURS 5317 STATISTICS FOR HEALTH PROVIDERS Fall 2013 & Danice B. Greer, Ph.D., RN, BC dgreer@uttyler.edu Office BRB 1115 (903) 5655766
More informationChapter Eight: Quantitative Methods
Chapter Eight: Quantitative Methods RESEARCH DESIGN Qualitative, Quantitative, and Mixed Methods Approaches Third Edition John W. Creswell Chapter Outline Defining Surveys and Experiments Components of
More informationFairfield Public Schools
Mathematics Fairfield Public Schools AP Statistics AP Statistics BOE Approved 04/08/2014 1 AP STATISTICS Critical Areas of Focus AP Statistics is a rigorous course that offers advanced students an opportunity
More informationUNIVERSITY OF NAIROBI
UNIVERSITY OF NAIROBI MASTERS IN PROJECT PLANNING AND MANAGEMENT NAME: SARU CAROLYNN ELIZABETH REGISTRATION NO: L50/61646/2013 COURSE CODE: LDP 603 COURSE TITLE: RESEARCH METHODS LECTURER: GAKUU CHRISTOPHER
More informationTechnical Report. Overview. Revisions in this Edition. FourLevel Assessment Process
Technical Report Overview The Clinical Evaluation of Language Fundamentals Fourth Edition (CELF 4) is an individually administered test for determining if a student (ages 5 through 21 years) has a language
More informationMidterm Review Problems
Midterm Review Problems October 19, 2013 1. Consider the following research title: Cooperation among nursery school children under two types of instruction. In this study, what is the independent variable?
More informationMeasurement & Data Analysis. On the importance of math & measurement. Steps Involved in Doing Scientific Research. Measurement
Measurement & Data Analysis Overview of Measurement. Variability & Measurement Error.. Descriptive vs. Inferential Statistics. Descriptive Statistics. Distributions. Standardized Scores. Graphing Data.
More informationDescriptive Statistics and Measurement Scales
Descriptive Statistics 1 Descriptive Statistics and Measurement Scales Descriptive statistics are used to describe the basic features of the data in a study. They provide simple summaries about the sample
More informationSCHOOL OF HEALTH AND HUMAN SCIENCES DON T FORGET TO RECODE YOUR MISSING VALUES
SCHOOL OF HEALTH AND HUMAN SCIENCES Using SPSS Topics addressed today: 1. Differences between groups 2. Graphing Use the s4data.sav file for the first part of this session. DON T FORGET TO RECODE YOUR
More informationChapter 1: The Nature of Probability and Statistics
Chapter 1: The Nature of Probability and Statistics Learning Objectives Upon successful completion of Chapter 1, you will have applicable knowledge of the following concepts: Statistics: An Overview and
More informationAssessment, Case Conceptualization, Diagnosis, and Treatment Planning Overview
Assessment, Case Conceptualization, Diagnosis, and Treatment Planning Overview The abilities to gather and interpret information, apply counseling and developmental theories, understand diagnostic frameworks,
More informationIntroduction to Statistics and Quantitative Research Methods
Introduction to Statistics and Quantitative Research Methods Purpose of Presentation To aid in the understanding of basic statistics, including terminology, common terms, and common statistical methods.
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 informationMASTER COURSE SYLLABUSPROTOTYPE PSYCHOLOGY 2317 STATISTICAL METHODS FOR THE BEHAVIORAL SCIENCES
MASTER COURSE SYLLABUSPROTOTYPE THE PSYCHOLOGY DEPARTMENT VALUES ACADEMIC FREEDOM AND THUS OFFERS THIS MASTER SYLLABUSPROTOTYPE ONLY AS A GUIDE. THE INSTRUCTORS ARE FREE TO ADAPT THEIR COURSE SYLLABI
More informationStep 6: Writing Your Hypotheses Written and Compiled by Amanda J. RockinsonSzapkiw
Step 6: Writing Your Hypotheses Written and Compiled by Amanda J. RockinsonSzapkiw Introduction To determine if a theory has the ability to explain, predict, or describe, you conduct experimentation and
More informationOverview of NonParametric Statistics PRESENTER: ELAINE EISENBEISZ OWNER AND PRINCIPAL, OMEGA STATISTICS
Overview of NonParametric Statistics PRESENTER: ELAINE EISENBEISZ OWNER AND PRINCIPAL, OMEGA STATISTICS About Omega Statistics Private practice consultancy based in Southern California, Medical and Clinical
More informationSPSS Explore procedure
SPSS Explore procedure One useful function in SPSS is the Explore procedure, which will produce histograms, boxplots, stemandleaf plots and extensive descriptive statistics. To run the Explore procedure,
More informationStatistics, Research, & SPSS: The Basics
Statistics, Research, & SPSS: The Basics SPSS (Statistical Package for the Social Sciences) is a software program that makes the calculation and presentation of statistics relatively easy. It is an incredibly
More informationMathematics within the Psychology Curriculum
Mathematics within the Psychology Curriculum Statistical Theory and Data Handling Statistical theory and data handling as studied on the GCSE Mathematics syllabus You may have learnt about statistics and
More informationBiostatistics: Types of Data Analysis
Biostatistics: Types of Data Analysis Theresa A Scott, MS Vanderbilt University Department of Biostatistics theresa.scott@vanderbilt.edu http://biostat.mc.vanderbilt.edu/theresascott Theresa A Scott, MS
More informationMeasurement. How are variables measured?
Measurement Y520 Strategies for Educational Inquiry Robert S Michael Measurement1 How are variables measured? First, variables are defined by conceptual definitions (constructs) that explain the concept
More informationThe Dummy s Guide to Data Analysis Using SPSS
The Dummy s Guide to Data Analysis Using SPSS Mathematics 57 Scripps College Amy Gamble April, 2001 Amy Gamble 4/30/01 All Rights Rerserved TABLE OF CONTENTS PAGE Helpful Hints for All Tests...1 Tests
More informationX = T + E. Reliability. Reliability. Classical Test Theory 7/18/2012. Refers to the consistency or stability of scores
Reliability It is the user who must take responsibility for determining whether or not scores are sufficiently trustworthy to justify anticipated uses and interpretations. (AERA et al., 1999) Reliability
More informationLevels of measurement in psychological research:
Research Skills: Levels of Measurement. Graham Hole, February 2011 Page 1 Levels of measurement in psychological research: Psychology is a science. As such it generally involves objective measurement of
More informationSample Size and Power in Clinical Trials
Sample Size and Power in Clinical Trials Version 1.0 May 011 1. Power of a Test. Factors affecting Power 3. Required Sample Size RELATED ISSUES 1. Effect Size. Test Statistics 3. Variation 4. Significance
More informationSection Format Day Begin End Building Rm# Instructor. 001 Lecture Tue 6:45 PM 8:40 PM Silver 401 Ballerini
NEW YORK UNIVERSITY ROBERT F. WAGNER GRADUATE SCHOOL OF PUBLIC SERVICE Course Syllabus Spring 2016 Statistical Methods for Public, Nonprofit, and Health Management Section Format Day Begin End Building
More informationAnalyzing and interpreting data Evaluation resources from Wilder Research
Wilder Research Analyzing and interpreting data Evaluation resources from Wilder Research Once data are collected, the next step is to analyze the data. A plan for analyzing your data should be developed
More informationConcepts of Variables. Levels of Measurement. The Four Levels of Measurement. Nominal Scale. Greg C Elvers, Ph.D.
Concepts of Variables Greg C Elvers, Ph.D. 1 Levels of Measurement When we observe and record a variable, it has characteristics that influence the type of statistical analysis that we can perform on it
More informationPELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050
PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050 Class Hours: 2.0 Credit Hours: 3.0 Laboratory Hours: 2.0 Date Revised: Fall 2013 Catalog Course Description: Descriptive
More informationRESEARCH METHODS IN I/O PSYCHOLOGY
RESEARCH METHODS IN I/O PSYCHOLOGY Objectives Understand Empirical Research Cycle Knowledge of Research Methods Conceptual Understanding of Basic Statistics PSYC 353 11A rsch methods 01/17/11 [Arthur]
More informationTRAINING PROGRAM INFORMATICS
MEDICAL UNIVERSITY SOFIA MEDICAL FACULTY DEPARTMENT SOCIAL MEDICINE AND HEALTH MANAGEMENT SECTION BIOSTATISTICS AND MEDICAL INFORMATICS TRAINING PROGRAM INFORMATICS FOR DENTIST STUDENTS  I st COURSE,
More informationAnalysing Questionnaires using Minitab (for SPSS queries contact ) Graham.Currell@uwe.ac.uk
Analysing Questionnaires using Minitab (for SPSS queries contact ) Graham.Currell@uwe.ac.uk Structure As a starting point it is useful to consider a basic questionnaire as containing three main sections:
More informationBusiness Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics.
Business Course Text Bowerman, Bruce L., Richard T. O'Connell, J. B. Orris, and Dawn C. Porter. Essentials of Business, 2nd edition, McGrawHill/Irwin, 2008, ISBN: 9780073319889. Required Computing
More informationData Definitions Adapted from the Glossary How to Design and Evaluate Research in Education by Jack R. Fraenkel and Norman E.
Data Definitions Adapted from the Glossary How to Design and Evaluate Research in Education by Jack R. Fraenkel and Norman E. Wallen, A AB design A singlesubject experimental design in which measurements
More informationExamining Differences (Comparing Groups) using SPSS Inferential statistics (Part I) Dwayne Devonish
Examining Differences (Comparing Groups) using SPSS Inferential statistics (Part I) Dwayne Devonish Statistics Statistics are quantitative methods of describing, analysing, and drawing inferences (conclusions)
More informationWhen to use Excel. When NOT to use Excel 9/24/2014
Analyzing Quantitative Assessment Data with Excel October 2, 2014 Jeremy Penn, Ph.D. Director When to use Excel You want to quickly summarize or analyze your assessment data You want to create basic visual
More informationUNDERSTANDING THE TWOWAY ANOVA
UNDERSTANDING THE e have seen how the oneway ANOVA can be used to compare two or more sample means in studies involving a single independent variable. This can be extended to two independent variables
More informationReliability Overview
Calculating Reliability of Quantitative Measures Reliability Overview Reliability is defined as the consistency of results from a test. Theoretically, each test contains some error the portion of the score
More informationRESEARCH METHODS IN I/O PSYCHOLOGY
RESEARCH METHODS IN I/O PSYCHOLOGY Objectives Understand Empirical Research Cycle Knowledge of Research Methods Conceptual Understanding of Basic Statistics PSYC 353 11A rsch methods 09/01/11 [Arthur]
More informationChapter 3 Psychometrics: Reliability & Validity
Chapter 3 Psychometrics: Reliability & Validity 45 Chapter 3 Psychometrics: Reliability & Validity The purpose of classroom assessment in a physical, virtual, or blended classroom is to measure (i.e.,
More informationTesting Group Differences using Ttests, ANOVA, and Nonparametric Measures
Testing Group Differences using Ttests, ANOVA, and Nonparametric Measures Jamie DeCoster Department of Psychology University of Alabama 348 Gordon Palmer Hall Box 870348 Tuscaloosa, AL 354870348 Phone:
More informationWorking with data: Data analyses April 8, 2014
Working with data: Data analyses April 8, 2014 Housekeeping notes This webinar will be recorded, and will be available on the Centre s website as an educational resource The slides have been sent to participants
More informationRARITAN VALLEY COMMUNITY COLLEGE ACADEMIC COURSE OUTLINE MATH 111H STATISTICS II HONORS
RARITAN VALLEY COMMUNITY COLLEGE ACADEMIC COURSE OUTLINE MATH 111H STATISTICS II HONORS I. Basic Course Information A. Course Number and Title: MATH 111H Statistics II Honors B. New or Modified Course:
More informationChapter 5 Conceptualization, Operationalization, and Measurement
Chapter 5 Conceptualization, Operationalization, and Measurement Chapter Outline Measuring anything that exists Conceptions, concepts, and reality Conceptions as constructs Conceptualization Indicators
More informationCourse Syllabus MATH 110 Introduction to Statistics 3 credits
Course Syllabus MATH 110 Introduction to Statistics 3 credits Prerequisites: Algebra proficiency is required, as demonstrated by successful completion of high school algebra, by completion of a college
More informationSURVEY DESIGN: GETTING THE RESULTS YOU NEED
SURVEY DESIGN: GETTING THE RESULTS YOU NEED Office of Process Simplification May 26, 2009 Sarah L. Collie P. Jesse Rine Why Survey? Efficient way to collect information about a large group of people Flexible
More informationSimple Predictive Analytics Curtis Seare
Using Excel to Solve Business Problems: Simple Predictive Analytics Curtis Seare Copyright: Vault Analytics July 2010 Contents Section I: Background Information Why use Predictive Analytics? How to use
More informationStatistical tests for SPSS
Statistical tests for SPSS Paolo Coletti A.Y. 2010/11 Free University of Bolzano Bozen Premise This book is a very quick, rough and fast description of statistical tests and their usage. It is explicitly
More informationAnalyzing Experimental Data
Analyzing Experimental Data The information in this chapter is a short summary of some topics that are covered in depth in the book Students and Research written by Cothron, Giese, and Rezba. See the end
More informationFoundation of Quantitative Data Analysis
Foundation of Quantitative Data Analysis Part 1: Data manipulation and descriptive statistics with SPSS/Excel HSRS #10  October 17, 2013 Reference : A. Aczel, Complete Business Statistics. Chapters 1
More informationJanuary 26, 2009 The Faculty Center for Teaching and Learning
THE BASICS OF DATA MANAGEMENT AND ANALYSIS A USER GUIDE January 26, 2009 The Faculty Center for Teaching and Learning THE BASICS OF DATA MANAGEMENT AND ANALYSIS Table of Contents Table of Contents... i
More informationData Analysis Tools. Tools for Summarizing Data
Data Analysis Tools This section of the notes is meant to introduce you to many of the tools that are provided by Excel under the Tools/Data Analysis menu item. If your computer does not have that tool
More informationMeasurement and Measurement Scales
Measurement and Measurement Scales Measurement is the foundation of any scientific investigation Everything we do begins with the measurement of whatever it is we want to study Definition: measurement
More informationStatistics I for QBIC. Contents and Objectives. Chapters 1 7. Revised: August 2013
Statistics I for QBIC Text Book: Biostatistics, 10 th edition, by Daniel & Cross Contents and Objectives Chapters 1 7 Revised: August 2013 Chapter 1: Nature of Statistics (sections 1.11.6) Objectives
More informationHYPOTHESIS TESTING: CONFIDENCE INTERVALS, TTESTS, ANOVAS, AND REGRESSION
HYPOTHESIS TESTING: CONFIDENCE INTERVALS, TTESTS, ANOVAS, AND REGRESSION HOD 2990 10 November 2010 Lecture Background This is a lightning speed summary of introductory statistical methods for senior undergraduate
More informationCORRELATIONAL ANALYSIS: PEARSON S r Purpose of correlational analysis The purpose of performing a correlational analysis: To discover whether there
CORRELATIONAL ANALYSIS: PEARSON S r Purpose of correlational analysis The purpose of performing a correlational analysis: To discover whether there is a relationship between variables, To find out the
More information/ / \ CASE STUDY APPLICATIONS STATISTICS IN INSTITUTIONAL RESEARCH. By MARY ANN COUGHLIN and MARIAN PAGAN(
; / / \ \ CASE STUDY APPLICATIONS OF STATISTICS IN INSTITUTIONAL RESEARCH By MARY ANN COUGHLIN and MARIAN PAGAN( Case Study Applications of Statistics in Institutional Research by Mary Ann Coughlin and
More informationAnalysis of Data. Organizing Data Files in SPSS. Descriptive Statistics
Analysis of Data Claudia J. Stanny PSY 67 Research Design Organizing Data Files in SPSS All data for one subject entered on the same line Identification data Betweensubjects manipulations: variable to
More informationLAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE
LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE MAT 119 STATISTICS AND ELEMENTARY ALGEBRA 5 Lecture Hours, 2 Lab Hours, 3 Credits Pre
More informationCourse Text. Required Computing Software. Course Description. Course Objectives. StraighterLine. Business Statistics
Course Text Business Statistics Lind, Douglas A., Marchal, William A. and Samuel A. Wathen. Basic Statistics for Business and Economics, 7th edition, McGrawHill/Irwin, 2010, ISBN: 9780077384470 [This
More informationSAMPLING & INFERENTIAL STATISTICS. Sampling is necessary to make inferences about a population.
SAMPLING & INFERENTIAL STATISTICS Sampling is necessary to make inferences about a population. SAMPLING The group that you observe or collect data from is the sample. The group that you make generalizations
More informationValor Christian High School Mrs. Bogar Biology Graphing Fun with a Paper Towel Lab
1 Valor Christian High School Mrs. Bogar Biology Graphing Fun with a Paper Towel Lab I m sure you ve wondered about the absorbency of paper towel brands as you ve quickly tried to mop up spilled soda from
More informationWhen to Use a Particular Statistical Test
When to Use a Particular Statistical Test Central Tendency Univariate Descriptive Mode the most commonly occurring value 6 people with ages 21, 22, 21, 23, 19, 21  mode = 21 Median the center value the
More informationProjects Involving Statistics (& SPSS)
Projects Involving Statistics (& SPSS) Academic Skills Advice Starting a project which involves using statistics can feel confusing as there seems to be many different things you can do (charts, graphs,
More informationCHAPTER 12 TESTING DIFFERENCES WITH ORDINAL DATA: MANN WHITNEY U
CHAPTER 12 TESTING DIFFERENCES WITH ORDINAL DATA: MANN WHITNEY U Previous chapters of this text have explained the procedures used to test hypotheses using interval data (ttests and ANOVA s) and nominal
More informationScientific Methods in Psychology
Scientific Methods in Psychology Why do research? To demonstrate that psychology is a science! Psychology would like to have the same academic standing as other sciences like biology, chemistry, astronomy,
More informationX X X a) perfect linear correlation b) no correlation c) positive correlation (r = 1) (r = 0) (0 < r < 1)
CORRELATION AND REGRESSION / 47 CHAPTER EIGHT CORRELATION AND REGRESSION Correlation and regression are statistical methods that are commonly used in the medical literature to compare two or more variables.
More informationNonParametric Tests (I)
Lecture 5: NonParametric Tests (I) KimHuat LIM lim@stats.ox.ac.uk http://www.stats.ox.ac.uk/~lim/teaching.html Slide 1 5.1 Outline (i) Overview of DistributionFree Tests (ii) Median Test for Two Independent
More informationThis chapter discusses some of the basic concepts in inferential statistics.
Research Skills for Psychology Majors: Everything You Need to Know to Get Started Inferential Statistics: Basic Concepts This chapter discusses some of the basic concepts in inferential statistics. Details
More informationUsing Excel for inferential statistics
FACT SHEET Using Excel for inferential statistics Introduction When you collect data, you expect a certain amount of variation, just caused by chance. A wide variety of statistical tests can be applied
More informationCalculating, Interpreting, and Reporting Estimates of Effect Size (Magnitude of an Effect or the Strength of a Relationship)
1 Calculating, Interpreting, and Reporting Estimates of Effect Size (Magnitude of an Effect or the Strength of a Relationship) I. Authors should report effect sizes in the manuscript and tables when reporting
More informationInterpretive Guide for the Achievement Levels Report (2003 Revision) ITBS/ITED Testing Program
Interpretive Guide for the Achievement Levels Report (2003 Revision) ITBS/ITED Testing Program The purpose of this Interpretive Guide is to provide information to individuals who will use the Achievement
More informationPRELIMINARY ITEM STATISTICS USING POINTBISERIAL CORRELATION AND PVALUES
PRELIMINARY ITEM STATISTICS USING POINTBISERIAL CORRELATION AND PVALUES BY SEEMA VARMA, PH.D. EDUCATIONAL DATA SYSTEMS, INC. 15850 CONCORD CIRCLE, SUITE A MORGAN HILL CA 95037 WWW.EDDATA.COM Overview
More informationTest Bias. As we have seen, psychological tests can be wellconceived and wellconstructed, but
Test Bias As we have seen, psychological tests can be wellconceived and wellconstructed, but none are perfect. The reliability of test scores can be compromised by random measurement error (unsystematic
More informationData Analysis, Research Study Design and the IRB
Minding the pvalues p and Quartiles: Data Analysis, Research Study Design and the IRB Don AllensworthDavies, MSc Research Manager, Data Coordinating Center Boston University School of Public Health IRB
More informationBenchmark Assessment in StandardsBased Education:
Research Paper Benchmark Assessment in : The Galileo K12 Online Educational Management System by John Richard Bergan, Ph.D. John Robert Bergan, Ph.D. and Christine Guerrera Burnham, Ph.D. Submitted by:
More informationChapter Seven. Multiple regression An introduction to multiple regression Performing a multiple regression on SPSS
Chapter Seven Multiple regression An introduction to multiple regression Performing a multiple regression on SPSS Section : An introduction to multiple regression WHAT IS MULTIPLE REGRESSION? Multiple
More informationDATA ANALYSIS AND INTERPRETATION OF EMPLOYEES PERSPECTIVES ON HIGH ATTRITION
DATA ANALYSIS AND INTERPRETATION OF EMPLOYEES PERSPECTIVES ON HIGH ATTRITION Analysis is the key element of any research as it is the reliable way to test the hypotheses framed by the investigator. This
More informationCleveland State University NAL/PAD/PDD/UST 504 Section 51 Levin College of Urban Affairs Fall, 2009 W 6 to 9:50 pm UR 108
Cleveland State University NAL/PAD/PDD/UST 504 Section 51 Levin College of Urban Affairs Fall, 2009 W 6 to 9:50 pm UR 108 Department of Urban Studies Email: w.weizer @csuohio.edu Instructor: Winifred Weizer
More informationGood luck! BUSINESS STATISTICS FINAL EXAM INSTRUCTIONS. Name:
Glo bal Leadership M BA BUSINESS STATISTICS FINAL EXAM Name: INSTRUCTIONS 1. Do not open this exam until instructed to do so. 2. Be sure to fill in your name before starting the exam. 3. You have two hours
More information