Muutke küpsiste eelistusi

Research in Education: Evidence-Based Inquiry 7th ed. [Multiple-component retail product]

, (Virginia Commonwealth University)
  • Formaat: Multiple-component retail product, 544 pages, kõrgus x laius x paksus: 279x221x25 mm, kaal: 1361 g, Illustrations, 1 Item, Contains 1 Digital product license key
  • Ilmumisaeg: 01-Jul-2009
  • Kirjastus: Pearson Education (US)
  • ISBN-10: 013610133X
  • ISBN-13: 9780136101338
Teised raamatud teemal:
  • Multiple-component retail product
  • Hind: 205,03 €*
  • * saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
  • See raamat on trükist otsas, kuid me saadame teile pakkumise kasutatud raamatule.
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Lisa soovinimekirja
  • Formaat: Multiple-component retail product, 544 pages, kõrgus x laius x paksus: 279x221x25 mm, kaal: 1361 g, Illustrations, 1 Item, Contains 1 Digital product license key
  • Ilmumisaeg: 01-Jul-2009
  • Kirjastus: Pearson Education (US)
  • ISBN-10: 013610133X
  • ISBN-13: 9780136101338
Teised raamatud teemal:
This substantially revised text provides a comprehensive, highly accessible, and student friendly introduction to the principles, concepts, and methods currently used in educational research. This text provides a balanced combination of quantitative and qualitative methods and enables students to master skills in reading, understanding, critiquing, and conducting research. The treatment of qualitative research is parallel to that of quantitative research to enable students to better understand all approaches to research. This text uses extensive examples from different journals, thoughtful pedagogy that includes instructional aids, instructional tests, key terms, application problems, concept maps, criteria for evaluating studies, and MyEducationalResearchLab, a new interactive website.
Preface xi
Introduction to Evidence-Based Inquiry
1(18)
Key Terms
2(1)
What You Will Learn
2(1)
Educational Research in the Twenty-First Century
2(3)
Why Educational Research Is Important
3(1)
Using Evidence-Based Knowledge to Improve Educational Practices
4(1)
Research as Scientific, Evidence-Based Inquiry
5(6)
Guiding Principles of Scientific, Evidence-Based Inquiry
6(2)
Definition of Research
8(1)
Characteristics of Educational Research
8(2)
The Research Process
10(1)
Quantitative, Qualitative, and Mixed Method Research Approaches
11(2)
The Functions of Research: Basic, Applied, Evaluation, and Action
13(1)
Basic Research
13(1)
Applied Research
13(1)
Evaluation Research
14(1)
Action Research
14(1)
Limitations of Educational Research
14(3)
Chapter Summary
17(1)
Application Problems
17(1)
Note
18(1)
Research Designs and Reading Research Articles
19(27)
Key Terms
20(1)
What You Will Learn
20(1)
Research Designs
20(1)
Quantitative Research Designs
21(2)
Experimental Designs
21(1)
Nonexperimental Designs
22(1)
Qualitative Research Designs
23(1)
Ethnography
23(1)
Phenomenology
24(1)
Care Study
24(1)
Grounded Theory
24(1)
Critical Studies
24(1)
Analytical Research Designs
24(1)
Mixed Method Research Designs
25(1)
Explanatory Designs
25(1)
Exploratory Designs
25(1)
Triangulation Designs
25(1)
Reading, Understanding, and Evaluating Research Reports and Articles
26(18)
How to Read Quantitative Research: Anatomy of an Experimental Example
28(2)
Guidelines for Evaluating Quantitative Research
30(7)
How to Read Qualitative Research: Anatomy of a Qualitative Example
37(1)
Guidelines for Evaluating Qualitative Research
38(6)
Chapter Summary
44(1)
Application Problems
45(1)
Research Problems, Questions, and Hypotheses
46(26)
Key Terms
47(1)
What You Will Learn
47(1)
The Nature of Research Problems
47(7)
Sources for Research Problems
49(2)
Significance of the Problem
51(3)
Problem and Research Question Formulation in Quantitative Research
54(9)
Constructs
54(1)
Variables
54(4)
Operational Definitions
58(1)
Specific Research Questions, Statements, and Hypotheses
58(4)
Research Hypotheses
62(1)
Problem Formulation and Research Questions for Qualitative Designs
63(4)
Initial Purpose or Research Problem
64(3)
Problem Formulation and Research Questions for Mixed Method Research
67(2)
Equal Priority to All Questions
67(1)
Measured Results Explained by Qualitative Data
68(1)
Qualitative, Then Quantitative Questions
68(1)
Standards of Adequacy for Problem Statements and Research Questions
69(1)
Chapter Summary
70(1)
Application Problems
70(2)
Review of Literature
72(29)
Key Terms
73(1)
What You Will Learn
73(1)
Why Review Related Literature?
73(2)
Types of Literature Sources
75(2)
Primary Sources
76(1)
Secondary Sources
76(1)
Steps in Conducting a Review of Literature
77(8)
Select a Topic and Key Terms
78(1)
Identify the Database and Access Software
79(1)
Conduct a Search
80(3)
Identify Sources as Primary or Secondary
83(1)
Evaluate and Analyze Sources
83(2)
Internet Searches
85(8)
Strengths and Weaknesses of the Internet for Educational Research
85(1)
Internet Search Strategies
85(2)
Scholarly Communication Strategies for Reviewing the Literature
87(2)
Education Websites
89(4)
Writing a Review of Literature
93(3)
Quantitative Reviews of Literature
94(2)
Qualitative Reviews of Literature
96(1)
Mixed Method Reviews of Literature
96(1)
Meta-Analysis Literature Reviews
96(2)
Standards of Adequacy
98(1)
Chapter Summary
99(1)
Application Problems
100(1)
Designing Quantitative Research: Purpose, Validity, and Ethical Considerations
101(26)
Key Terms
102(1)
What You Will Learn
102(1)
The Purpose of Research Design
102(2)
Design Sensitivity
102(1)
Sources of Variability
103(1)
Design Validity
104(13)
Statistical Conclusion Validity
107(2)
Internal Validity
109(6)
Construct Validity
115(1)
External Validity
116(1)
Ethical and Legal Considerations
117(8)
Research Ethics
117(1)
Voluntary Participation
118(1)
Informed Consent
118(1)
No Harm or Risk to Participants
119(2)
Privacy
121(2)
Institutional Review Board
123(1)
Professional Integrity
123(1)
Legal Constraints
124(1)
Chapter Summary
125(1)
Application Problems
126(1)
Participants, Subjects, and Sampling for Quantitative Designs
127(20)
Key Terms
128(1)
What You Will Learn
128(1)
Units of Study
128(1)
Sampling
129(11)
What is a Population?
129(1)
Probability Sampling
129(2)
Random Sampling
131(4)
Nonprobability Sampling
135(5)
How Sampling Affects Research
140(5)
Sample Size
140(2)
Subject Motivation
142(1)
Sampling Bias
143(1)
Response Variability
143(1)
Volunteer Samples
143(2)
Chapter Summary
145(1)
Application Problems
145(2)
Descriptive Statistics
147(25)
Key Terms
148(1)
What You Will Learn
148(1)
Introduction to Descriptive Statistics
148(4)
Types of Statistics
149(1)
Scales of Measurement
150(1)
Types of Descriptive Analysis
151(1)
Graphic Portrayals of Data
152(5)
Frequency Distribution or Count: A Picture of a Group
152(2)
Stem-and-Leaf Displays
154(1)
Histograms and Bar Graphs
154(2)
Frequency Polygons
156(1)
Measures of Central Tendency
157(3)
Mean
157(1)
Median
158(1)
Mode
159(1)
Relationships among Measures of Central Tendency
159(1)
Measures of Variability
160(6)
Range
161(1)
Standard Deviation
161(3)
Box-and-Whisker Plot
164(1)
Standard Scores
164(1)
Outliers
165(1)
Measures of Relationship
166(3)
Scatterplot
166(1)
Bivariate Correlation
167(2)
Chapter Summary
169(2)
Application Problems
171(1)
Note
171(1)
Quantitative Data Collection: Technical Adequacy
172(15)
Key Terms
173(1)
What You Will Learn
173(1)
Fundamentals of Quantitative Measurement: Technical Adequacy
173(1)
Test Validity
173(6)
Evidence Based on Test Content
175(1)
Evidence Based on Contrasted Groups
176(1)
Evidence Based on Response Processes
176(1)
Evidence Based on Internal Structure
176(1)
Evidence Based on Relations to Other Variables
176(3)
Effect of Validity on Research
179(1)
Test Reliability
179(6)
Stability
180(1)
Equivalence
181(1)
Equivalence and Stability
181(1)
Internal Consistency
181(1)
Agreement
182(1)
Interpretation of Reliability Coefficients
183(1)
Effect of Reliability on Research
184(1)
Chapter Summary
185(1)
Application Problems
186(1)
Notes
186(1)
Collecting Quantitative Data
187(29)
Key Terms
188(1)
What You Will Learn
188(1)
Measuring Student Proficiency
188(6)
Standardized Tests
189(1)
Norm- and Criterion (Standards)-Referenced Interpretation
189(2)
Aptitude Tests
191(1)
Achievement Tests
191(2)
Alternative Assessments
193(1)
Personality, Attitude, Value, and Interest Inventories
194(1)
Questionnaires
195(10)
Justification
195(1)
Defining Objectives
196(1)
Writing Questions, Statements, and Response Scales
196(1)
Types of Items
197(4)
Item Format
201(1)
General Format
202(2)
Conduct a Pretest
204(1)
Conduct a Pilot Test
204(1)
Interview Schedules
205(3)
Preparing the Interview
206(1)
During the Interview
207(1)
Observation Schedules
208(3)
Justification
209(1)
Defining Observational Units
209(1)
Recording Observations
210(1)
Training Observers
210(1)
Unobtrusive Measures
211(3)
Sources for Locating and Evaluating Existing Instruments
213(1)
Chapter Summary
214(1)
Application Problems
214(2)
Nonexperimental Research Designs, Surveys, and Secondary Data Analysis
216(40)
Key Terms
217(1)
What You Will Learn
217(1)
Simple Descriptive Designs
217(4)
A Word about Relationships in Nonexperimental Research
221(1)
Comparative Designs
222(3)
Correlational Designs
225(10)
Bivariate Correlational Studies
226(1)
Prediction Studies
226(2)
Explanatory Studies
228(2)
Logistic Regression
230(1)
Interpreting Correlational Research
231(4)
Survey Research
235(7)
What Is Survey Research?
235(1)
Conducting Survey Research
236(4)
Online Surveys
240(2)
Secondary Data Analysis
242(5)
Reasons for Using Secondary Data
242(1)
Considerations for Using Secondary Data
243(2)
Protecting Human Subjects
245(1)
Combining Secondary Data with Primary Data Collection
246(1)
Research Articles and Secondary Data
246(1)
Standards of Adequacy
247(1)
Chapter Summary
248(1)
Application Problems
248(8)
Experimental, Quasi-Experimental, and Single-Subject Designs
256(37)
Key Terms
257(1)
What You Will Learn
257(1)
Introduction to Experimental Research
257(6)
Characteristics of Experimental Research
258(2)
Strengths and Limitations of Experimental Research
260(2)
Planning Experimental Research
262(1)
Experimental Validity
263(4)
Statistical Conclusion Validity
263(1)
Internal Validity
264(1)
Construct Validity
265(1)
External Validity
265(2)
Single-Factor Pre-Experimental Designs
267(5)
Notation
267(1)
Single-Group Posttest-Only Design
268(1)
Single-Group Pretest-Posttest Design
268(2)
Nonequivalent Groups Posttest-Only Design
270(2)
Single-Factor Randomized Experimental Designs
272(6)
Randomized Pretest-Posttest Control Group Design
272(2)
Randomized Pretest-Posttest Comparison Group Design
274(2)
Randomized Posttest-Only Control and Comparison Group Designs
276(2)
Single-Factor Quasi-Experimental Designs
278(4)
Nonequivalent Groups Pretest-Posttest Control or Comparison Group Designs
278(2)
Time-Series Designs
280(2)
Factorial Experimental Designs
282(3)
Single-Subject Designs
285(4)
A-B Design
286(1)
A-B-A Design
287(1)
Multiple-Baseline Designs
288(1)
Standards of Adequacy
289(1)
Chapter Summary
290(1)
Application Problems
290(3)
Understanding and Reporting Inferential Data Analyses
293(26)
Key Terms
294(1)
What You Will Learn
294(1)
Logic of Inferential Statistics
294(3)
Probability
295(1)
Error in Sampling and Measurement
295(2)
Null and Alternative Hypotheses
297(2)
Level of Significance
298(1)
Errors in Hypothesis Testing
298(1)
Interpreting Level of Significance
298(1)
Analyzing One or Two Means: The t-Test
299(4)
Single-Sample t-Test
300(1)
Two-Sample t-Test with Independent Groups
300(3)
Paired t-Test with Dependent Groups
303(1)
Comparing Two or More Means: Analysis of Variance (ANOVA)
303(8)
One-Way Analysis of Variance
303(2)
Post Hoc and Planned Comparison Procedures
305(1)
Factorial Analysis of Variance
305(4)
Analysis of Covariance
309(2)
Nonparametric Tests
311(2)
Multivariate Analyses
313(1)
Magnitude of Effect
314(3)
Roadmaps of Statistical Tests
315(2)
Chapter Summary
317(1)
Application Problems
318(1)
Designing Qualitative Research
319(23)
Key Terms
320(1)
What You Will Learn
320(1)
Introduction to Qualitative Designs
320(5)
Characteristics of Qualitative Research
321(3)
Research Questions
324(1)
Purpose
324(1)
Significance
325(1)
Qualitative Sampling Strategies
325(4)
Site Selection
326(1)
Comprehensive Sampling
327(1)
Maximum Variation Sampling
327(1)
Snowball Sampling
327(1)
Sampling by Case Type
327(1)
Sample Size
328(1)
Phases of Data Collection and Analysis Strategies
329(1)
Validity of Qualitative Designs
330(2)
Strategies to Enhance Validity
330(2)
Reflexivity in Qualitative Research
332(3)
Interpersonal Subjectivity and Reflexivity
332(2)
Strategies to Enhance Reflexivity
334(1)
Extension of Qualitative Findings
335(3)
Design Components to Generate Extension of Findings
335(3)
Qualitative Research Ethics: Roles and Reciprocity
338(1)
Ethical Dilemmas in Fieldwork
338(1)
Research Ethics in Fieldwork
338(1)
Standards of Adequacy
339(1)
Chapter Summary
340(1)
Application Problems
341(1)
Collecting Qualitative Data
342(24)
Key Terms
343(1)
What You Will Learn
343(1)
Choosing Qualitative Data Collection Strategies
343(5)
Ethnography
343(1)
Case Study
344(2)
Phenomenological Study
346(1)
Grounded Theory
346(1)
Critical Studies
347(1)
Entry into the Field
348(2)
Observations
350(5)
Steps in Conducting Observations
350(1)
Site Selection and Mapping the Field
351(1)
Prolonged Data Collection
351(1)
Intensive Observation
352(1)
Salient Field Observations
352(2)
Recording Data
354(1)
In-Depth Interviews
355(5)
Types of Interviews and Specialized Applications
355(1)
Qualitative Questions, Probes, and Pauses
356(2)
Question Sequence
358(1)
Interview Logistics
359(1)
Interview Records, Transcripts, and Elaborations
360(1)
Documents and Artifact Collection
360(2)
Types of Artifacts
361(1)
Analysis and Interpretation of Artifact Collections
362(1)
Supplementary Techniques
362(2)
Standards of Adequacy for Collecting Qualitative Data
364(1)
Chapter Summary
365(1)
Application Problems
365(1)
Qualitative Data Analysis and Narrative Structure
366(28)
Key Terms
367(1)
What You Will Learn
367(1)
Inductive Analysis: An Overview
367(2)
The Process of Inductive Analysis
367(1)
Analytical Styles
368(1)
Data Preparation
369(1)
Data Organization
369(1)
Data Transcription
370(1)
Data Coding
370(6)
Forming Categories
376(2)
Discovering Patterns
378(3)
Techniques of Pattern Seeking
378(2)
Plausibility of Patterns
380(1)
Electronic Qualitative Data Analysis
381(1)
Narrative Structure and Representation
382(2)
Audience and Authorial Presence
382(1)
Framing the Narrative and Presenting the Participants' Language
382(1)
Narrative Structures and Visual Representations
383(1)
Chapter Summary
384(1)
Application Problems
385(9)
Mixed Method Designs
394(22)
Key Terms
395(1)
What You Will Learn
395(1)
What and Why of Mixed Method Research
395(2)
Mixed Method Research Questions
397(2)
Sampling in Mixed Method Research
399(2)
Types of Mixed Method Designs
401(3)
Notation System
401(1)
Sequential Explanatory Designs
401(1)
Sequential Exploratory Designs
402(1)
Concurrent Triangulation Designs
403(1)
Conducting Mixed Method Studies
404(2)
Standards of Adequacy
406(1)
Chapter Summary
407(1)
Application Problems
407(9)
Concept Analysis and Historical Research
416(13)
Key Terms
417(1)
What You Will Learn
417(1)
Overview and Purposes of Analytical Research
417(1)
Analysis of Educational Concepts
418(1)
Analysis of Historical Events in Education
418(7)
Topics and Justifications
419(1)
Location and Criticism of Sources
420(4)
Facts, Generalizations, and Analytical Explanations
424(1)
Oral History
425(2)
Standards of Adequacy
427(1)
Chapter Summary
427(1)
Application Problems
428(1)
Evaluation Research and Policy Analysis
429(14)
Key Terms
430(1)
What You Will Learn
430(1)
Purposes of Evaluation Research
430(3)
Standards for Judging the Quality of Evaluation Research
431(2)
Selected Approaches to Evaluation
433(5)
Objectives-Oriented Evaluation
433(2)
Decision-Oriented Evaluation
435(1)
Participant-Oriented Evaluation
436(2)
Policy Analysis
438(2)
Characteristics of Policy Analysis
438(1)
Methods of Policy Analysis
439(1)
Educational Evaluation and Policy Analysis: Potential Benefits and Limitations
440(1)
Credibility of Evaluation and Policy Reports
441(1)
Chapter Summary
441(1)
Application Problems
442(1)
Action Research
443(11)
Key Terms
444(1)
What You Will Learn
444(1)
Action Research
444(1)
What Is Action Research?
444(1)
Implications of Action Research for Practice
445(1)
Difference Between Action and Traditional Research
445(1)
Action Research Process
446(4)
Selecting a Focus, Topic, or Issue to Study
446(2)
Collecting Data
448(1)
Analyzing Data
449(1)
Validity in Action Research
450(1)
Evaluating Action Research
451(1)
Chapter Summary
452(1)
Application Problems
452(2)
Appendix A Answers to Application Problems 454(6)
Appendix B Guidelines for Writing Research Proposals 460(5)
Appendix C Guidelines for Writing Research Reports 465(3)
Appendix D Calculations for Selected Descriptive and Inferential Statistics 468(17)
Glossary 485(7)
References 492(3)
Name Index 495(5)
Subject Index 500