Methods and Analysis of Quantitative Research Summer II 2008

R 7031 Methods and Analysis of Quantitative Research Summer II 2008

INSTRUCTOR: Demetriades, Elias

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REQUIRED TEXTS:

Title Dr. Laurie's Introduction to Statistical Methods Author(s) Dodge Copyright (2003) Publisher Pyrczak ISBN 1884585469 Edition

Title Handbook in Research and Evaluation Author(s) Stephen Isaac, William Michael Copyright (1995) Publisher Edits ISBN 0912736321 Edition 3rd

Title PHstat 2.7 CD (software) Author(s) Stephan Copyright (2007) Publisher Pearson ISBN 0136153674 Edition

This Course Requires the Purchase of a Course Packet: YES NO Course Description: This seminar focuses on the structure and process of descriptive research across the disciplines of business, education, and behavioral science. It presents the concepts of relationships, correlations, and descriptive paradigms. Upon completion of the seminar, the student will be able to design a descriptive research study. The student will be able to utilize correct descriptive sampling techniques, collect and organize data systematically, adhere to acceptable reliability and validity standards in measurement, apply appropriate descriptive methodology, perform descriptive statistical analysis including mean, mode, median, correlations, chi square and t-tests with matched groups, and fully present findings. The student will also master the language of descriptive research, distinguish between various methodologies, conduct literature surveys that provide the foundation of investigation, critique descriptive research, review the dissertation research process, and construct effective descriptive research proposals. Computer applications, logistical issues, and ethical considerations are examined.

Course Prerequisites: None

Course Length: 7.5 Weeks

Credit Value: 3

Contact Hours: 45

Material Requirements: None

Technology:

Computer: PC: As a general guideline students should not have computer specifications less than a Pentium III CPU (500MHz or higher), Windows XP with Service Pack 2, and 512 MB RAM. MAC: As a general guideline students should not have computer specifications less than a MAC G4 processor, MAC OS X, and 512 MB RAM.

Software: SPSS Graduate Pack, Microsoft Office Professional (including Word, Excel, PowerPoint, Access and Outlook), Norton Antivirus, Adobe Acrobat Professional4

Peripherals: N/A

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Course Competencies:

Module 1 Curriculum Pedagogy

 Course Overview  Module 1 Overview  Curriculum  Theoretical Perspectives  The Five Philosophies of Education  Summary  Module One Assignments

Module 2 Critical Issues in Curriculum Development

 Module 2 Overview  Closing the Achievement Gap  Teaching the Whole Child  Performance Assessments  Accountability and High Stakes Testing  Multicultural Education  English Language Learners  School Readiness  High School Redesign  Focus on Character  Exceptional Learners  Summary  Module Two Assignments

Module 3 Trends in Curriculum and Instruction

 Module 3 Overview  Trends in School Education  The Brain and Learning  School Improvement—Research to Practice  Professional Learning Communities  Distance Learning and Virtual Schools  Teaching in Diverse Classrooms  Healthy Children/Healthy Schools  Factors Influencing School Choice  Trends in Higher Education  Summary  Module Three Assignments Module 4 Instructional Strategies in Curriculum

 Module 4 Overview  Psychological Influences on Education  Models for Effective Instruction  Summary  Module Four Assignments

Module 5 Leadership in Curriculum Development

 Module 5 Overview  Curriculum Planning  Budgeting  Evaluating Curriculum Implementation  Teacher Effectiveness  Instructional Leadership  Pedagogical Cycle  Summary  Module Five Assignments

Module 6 Factors Affecting Curriculum Development

 Module 6 Overview  Impact of the Standards Movement  Impact of Community on Curriculum  Impact of Policies on Curriculum  Impact of Media  Impact of Biases on Curriculum  Summary  Module Six Assignments

Module 7 Impact of Curriculum Development

 Module 7 Overview  Impact of Curriculum Development  New Directions for Curriculum Development  Contemporary Curricular Reforms  Summary  Module Seven Assignments

Module 8 Summary

 Module 8 Overview  Course Summary Topical Outline:

Module 1

 Scientific Method and Statistical Method  Philosophy of Science and the Language of Quantitative Research  Types of Research and Research Terminology  Research Methodologies  Nine Steps of the Literature Review  Measures of Central Tendency and Variability  Summary

Module 2

 The Empirical Rule  Qualitative and Quantitative Methods - A Comparative Analysis  Hypothesis Testing  The Eight Steps of Hypothesis Testing  Internal and External Validity and Reliability  Conceptual Overview of t-Test for an Unpaired Design  Practical Hands-on Application – A Case Study  Summary

Module 3

 Hypothesis Testing Concerning the Difference Between Two Population Means  The Paired Difference t-Test for Dependent Random Populations  Practical Hands-on Application Using the Paired t-Test  Analysis of Variance  Practical Hands-on Application Using Analysis of Variance  Summary

Module 4

 The Method of Least Squares  Analysis of Variance for a Linear Model  Global Usefulness Analysis Using the Slope  Basic Correlation Analysis  Practical Hands-on Application—A Case Study  Summary Module 5

 The Multinomial Experiment  Pearson’s X2 Statistic  Contingency Tables: Test of Independence  Practical Hands-on Application—A Case Study  Summary

Module 6

 Nonparametric Tests  Mann-Whitney U Test for Independent Samples (Unpaired Design)  Practical Hands-on Application: A Case Study  Wilcoxon Signed-Rank Sum Test for Dependent Samples (Paired Design)  Practical Hands-on Application: A Case Study  Summary

Module 7

 Kruskal-Wallis H Test  Practical Hands-on Application: Case Study  Summary

Module 8

 Ethics in Research  Summary

Course Project

Developing Quantitative Research Skills