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ISBN-10: 0205458408
ISBN-13: 9780205458400
Publisher: Merrill
Copyright: 2006
Format: Cloth; 528 pp
Published: 05/17/2005
Suggested retail price: $118.67
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This text provides comprehensive coverage of research methods and statistics in a readable and student-friendly format.
A wide variety of methodologies—including descriptive, experimental and quasi-experimental research, historical studies, qualitative methods, and single subject designs—are covered. A complete range of research tools as well as descriptive and inferential statistics are also included, making this text the definitive resource for introductory research courses.
Research in Education is divided into three parts: Part I, “Introduction to Educational Research,” focuses on the purpose of research, hypotheses, ethics in research, developing a research problem, and writing proposals and reports; Part II, “Research Methods,” is unique in that it integrates chapters on qualitative research methods, historical research, and single-subject methods with the more typical chapters on experimental methods; and Part III, “Data Analysis,” includes both descriptive and inferential statistics, as well as examples of analyses using a computer.
- Chapters on research methodology (Chs. 4-8) use real research studies as examples of the most important designs.
- Numerous examples and questions at the end of each chapter assist students in understanding how concepts are related to practice.
- Chapters on qualitative research cover a variety of types: ethnography, case study, phenomenological, etc.
- Published research articles follow each of the five methodology chapters (Chs. 4-8).
- Chapter on computer data analysis (Ch. 12) demonstrates how SPSS is used to calculate the statistics explained in Chapters 10 and 11. All three data analysis chapters use numerous examples to demonstrate statistics.
- Appendix B contains a data set that students can use in the chapters on data analysis (Chs.10-12).
- An emphasis on validity (Ch. 9) as a unitary trait that is consistent with professional (AERA) standards. This newer perspective views validity in a way that many books have not yet incorporated.
- Data analysis chapters (Chs. 10 & 11) include coverage of outliers and missing data.
- Unique discussion on how to combine qualitative and quantitative methods in a single study (Ch. 8) shows students how these methods interrelate.
- Research Navigator journal article database and writing guide is available to all adopters and integrated with the text for ease of use through margin annotations and end-of-chapter exercises.
- Complete instructions on how to write a review of the literature are included and the section on Library Research has been updated to demonstrate technological advancements.
- Thorough update and expansion of Chapter 8, "Qualitative Research," provides a more balanced perspective to the text.
- An expanded section on meta-analysis in Chapter 5 strengthens this current methodology for students.
- Additional and more current research examples are used in the methods chapters (Chs. 4-8).
- A web page with Transparency Masters will be available to instructors electronically by contacting your local sales representative.
Each chapter concludes with "Summary," "Exercises" and "References."
Preface
I. INTRODUCTION TO EDUCATIONAL RESEARCH: DEFINITIONS, RESEARCH PROBLEMS, PROPOSALS, AND REPORT WRITING.
1. The Meaning of Research.
Why Should I Study Research?
The Search for Knowledge
Science
The Role of Theory
Operational Definitions of Variables
The Hypothesis
The Research Hypothesis
The Null Hypothesis (Ho)
Populations Sampling
Randomness
The Simple Random Sample
Random Numbers
The Systematic Sample
The Stratified Random Sample
The Area or Cluster Sample
Nonprobability Samples
Sample Size
Purposes of Research
Fundamental or Basic Research
Applied Research
Action Research
Assessment, Evaluation, and Descriptive Research
Types of Educational Research
2. Selecting a Problem and Preparing a Research Proposal.
The Academic Research Problem
Levels of Research Projects
Sources of Problems
Evaluating the Problem
Using the Library
Finding Related Literature
References and Bibliography
Fair Use of Copyrighted Materials
The Research Proposal
The First Research Project
Submitting a Research Proposal to a Funding Agency
Thesis Proposal
Ethics in Human Experimentation
History of Research Ethics
Regulations
From Regulations to Practice.
3. The Research Report.
Style Manuals
Format of the Research Report
Main Body of the Report
References and Appendices
The Thesis or Dissertation
Style of Writing
Reference Form
Pagination
Tables
Figures
The Line Graph
The Bar Graph or Chart
The Circle, Pie, or Sector Chart
Maps
Organization Charts
Evaluating a Research Report
II. RESEARCH METHODS.
4. Historical Research.
Purpose of Histroical Reseach on American Education
History and Science
Historical Generalization
The Historical Hypothesis
Hypotheses in Educational Historical Research
Difficulties Encountered in Historical Research
Sources of Data
Primary Sources of Data
Primary Sources of Educational Data
Secondary Sources of Data
Historical Criticism
External Criticism
Internal Criticism
Examples of Topics for Educational Historical Study
Writing the Historical Report
5. Descriptive Studies: Assessment, Evaluation, and Research.
Assessment Studies
The Survey
Social Surveys
Public Opinion Surveys
National Center for Education Statistics
International Assessment
Activity Analysis
Trend Studies
Evaluation Studies
School Surveys
Program Evaluation
Assessment and Evaluation in Problem Solving
Descriptive Research
Causal Comparative Research
Correlational Research
Follow-up Research
Other Descriptive Research
Replication and Secondary Analysis
The Post Hoc Fallacy
6. Experimental and Quasi-Experimental Research.
Early Experimentation
Experimental and Control Groups
Variables
Independent and Dependent Variables
Confounding Variables
Controlling Extraneous Variables
Experimental Validity
Threats to Internal Experimental Validity
Threats to External Experimental Validity
Experimental Design
Pre-experimental Designs
True Experimental Designs
Quasi-Experimental Designs
Factorial Designs
7. Single-Subject Experimental Research.
General Procedures
Repeated Measurement
Baselines
Manipulating Variables
Length of Phases
Transfer of Training and Response Maintenance
Assessment
Target Behavior
Data Collection Strategies
Basic Designs
A-B-A-B Designs
Multiple Baseline Designs
Other Designs
Evaluating Data
8. Qualitative Research.
A Qualitative Research Model.
Themes of Qualitative Research
Research Questions
Theoretical Traditions
Research Strategies
Document or Content Analysis
The Case Study
Ethnographic Studies
Data Collection Techniques
Observations
Interviews
Review of Documents
Other Qualitative Data Collection Techniques
Data Analysis and Interpretation
Combining Qualitative and Quantitative Research
9. Methods and Tools of Research.
Reliability and Validity of Research Tools
Quantitative Studies
Qualitative Studies
Psychological and Educational Tests and Inventories
Qualities of a Good Test and Inventory
Validity
Reliability
Economy
Interest
Types of Tests and Inventories
Achievement Tests
Aptitude Tests
Interest Inventories
Personality Inventories
Projective Devices
Observation
Validity and Reliability of Observation
Recording Observations
Systematizing Data Collection
Characteristics of Good Observation
Inquiry Forms: The Questionnaire
Closed Form
The Open Form
Improving Questionnaire Items
Characteristics of a Good Questionnaire
Preparing and Administering the Questionnaire
A Sample Questionnaire
Validity and Reliability of Questionnaires
Inquiry Forms: The Opinionnaire
Thurstone Technique
Likert Method
Semantic Differential
The Interview
Validity and Reliability of the Interview
Q Methodology
Social Scaling
Sociometry
Scoring Sociometric Choices
The Sociogram
"Guess-who" Technique
Social-distance Scale
Organization of Data Collection
Outside Criteria for Comparison
Limitations and Sources of Error
III. DATA ANALYSIS.
10. Descriptive Data Analysis.
What Is Statistics?
Parametric and Nonparametric Data
Descriptive and Inferential Analysis
The Organization of Data
Grouped Data Distributions
Statistical Measures
Measures of Central Tendency
Measures of Spread or Dispersion
Normal Distribution
Nonnormal Distributions
Interpreting the Normal Probability Distribution
Practical Applications of the Normal Curve
Measures of Relative Position: Standard Scores
The Z Score (Z)
The T Score (T)
The College Board Score (ZCb).
Stanines
Percentile Rank.
Measures of Relationship
Pearson's Product-Moment Coefficient of Correlation (r)
Rank Order Correlation (r)
Phi Correlation Coefficient (f)
Interpretation of a Correlation Coefficient
Outliers
Misinterpretation of the Coefficient of Correlation
Prediction
Standard Error of Estimate
A Note of Caution
11. Inferential Data Analysis.
Statistical Inference
The Central Limit Theorem
Parametric Tests
Testing Statistical Significance
The Significance of the Difference between the Means of Two Independent Groups
The Null Hypothesis (Ho)
The Level of Significance
Decision Making
Two-Tailed and One-Tailed Tests of Significance
Degrees of Freedom
A One-Sample Z Test
Student's Distribution (t)
Significance of the Difference between Two Small Sample Independent Means
Homogeneity of Variances
Significance of the Difference between the Means of Two Matched or correlated Groups (Nonindependent Samples)
Statistical Significance of a Coefficient of correlation
Analysis of Variance (ANOVA)
Analysis of Covariance (ANCOVA) and Partial Correlation
Multiple Regression and Correlation
Nonparametric Tests
The Chi Square Test (c2)
The Mann-Whitney Test
Outliers and Missing Data
12. Computer Data Analysis.
The Computer
Data Organization
Computer Analysis of Data
Descriptive Statistics
Graphs
Multiple Regression
ANOVA
Results from Analyses of Appendix B Data
Statistics on the World Wide Web
Qualitative Analyses Using Computer Software
Appendix A: Statistical Formulas and Symbols.
Appendix B: Sample Data.
Appendix C: Percentage of Area Lying Between the Mean and Successive Standard Deviation Units Under the Normal Curve.
Appendix D: Critical Values for Pearson’s Product-Moment Correlation (r).
Appendix E: Critical Values of Student’s Distribution (t).
Appendix F: Abridged Table of Critical Values for Chi Square.
Appendix G: Critical Values of the F Distribution.
Appendix H: Research Report Evaluation.
Appendix I: Answers to Statistics Exercises.
This text provides comprehensive coverage of research methods and statistics in a readable and student-friendly format. A wide variety of methodologies including descriptive, experimental and quasi-experimental research, historical studies, qualitative methods, and single subject designs are covered. A complete range of research tools as well as descriptive and inferential statistics are also included, making this text the definitive resource for introductory research courses.
New to this Edition:
- Research Navigator journal article database and writing guide is available to all adopters. This new guide is integrated with the text for ease of use through margin annotations and end of chapter exercises.
- The student version of SPSS is available on CD with the text allowing students easy access to this software.
- Complete instructions on how to write a review of literature is included and the section on Library Research has been updated to demonstrate technological advancements.
- Major update and expansion of Chapter 8, Qualitative Research, brings a more balanced perspective to the text.
- An expanded section on meta-analysis in Chapter 5 strengthens this current methodology for students.
- Additional and more current research examples are used in the methods chapters (Chs. 4-8).
- PowerPoint slides, test items, and other materials are available to instructors electronically by contacting your local sales representative.
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