Muutke küpsiste eelistusi

Research Methods for the Behavioral Sciences 2nd Revised edition [köitmata]

3.70/5 (30 hinnangut Goodreads-ist)
  • Formaat: Loose-leaf, 688 pages, kõrgus x laius: 254x203 mm, kaal: 1170 g
  • Ilmumisaeg: 28-Jan-2016
  • Kirjastus: SAGE Publications Inc
  • ISBN-10: 1506341500
  • ISBN-13: 9781506341507
Teised raamatud teemal:
  • köitmata
  • Hind: 108,55 €*
  • * 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
Research Methods for the Behavioral Sciences 2nd Revised editionSuurem pilt
  • Formaat: Loose-leaf, 688 pages, kõrgus x laius: 254x203 mm, kaal: 1170 g
  • Ilmumisaeg: 28-Jan-2016
  • Kirjastus: SAGE Publications Inc
  • ISBN-10: 1506341500
  • ISBN-13: 9781506341507
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781506341507.html
Märksõnad:
With a conversational, student-friendly writing style, Gregory J. Privitera shows how methods and analysis work together and enable the testing of hypotheses through use of the scientific method. Outstanding pedagogy, current examples, and robust resources empower students to approach their study and application of research methods with confidence.





Ancillaries

Free SAGE edge resources include SPSS in Focus screencasts, mobile-friendly flashcards, quizzes, multimedia content, and more.





Available with Perusallan eBook that makes it easier to prepare for class

Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.
About the Author xiii
Acknowledgments xv
Preface xvii
To the Student-How to Use SPSS With This Book xxv
P.1 Overview of SPSS: What Are You Looking At?
xxv
P.2 Preview of SPSS in Focus
xxix
Section I: Scientific Inquiry
Chapter 1 Introduction to Scientific Thinking
3(28)
1.1 Science as a Method of Knowing
4(1)
1.2 The Scientific Method
5(9)
1.3 Other Methods of Knowing
14(4)
1.4 The Goals of Science
18(2)
1.5 Approaches in Acquiring Knowledge
20(2)
1.6 Distinguishing Science From Pseudoscience
22(9)
Chapter 2 Generating Testable Ideas
31(30)
2.1 Generating Interesting and Novel Ideas
32(2)
2.2 Converting Ideas to Hypotheses and Theories
34(3)
2.3 Developing Your Idea: Deduction and Induction
37(3)
2.4 Performing a Literature Review
40(6)
2.5 Ethics in Focus: Giving Proper Credit
46(1)
2.6 The "3 Cs" of an Effective Literature Review
47(4)
2.7 Testing Your Idea: Confirmation and Disconfirmation
51(3)
2.8 Ethics in Focus: Publication Bias
54(7)
Chapter 3 Research Ethics
61(36)
3.1 Ethics in Behavioral Research
62(1)
3.2 The Need for Ethics Committees in Research: A Historical Synopsis
62(7)
3.3 Ethics in Focus: Examples From Psychology
69(4)
3.4 Human Participant Research: IRBs and the APA Code of Conduct
73(9)
3.5 Ethics in Focus: Anonymity and Confidentiality
82(1)
3.6 Animal Subject Research: IACUCs and the APA Code of Conduct
83(3)
3.7 Additional Ethical Considerations: Scientific Integrity
86(11)
Section II: Defining And Measuring Variables, Selecting Samples, And Choosing An Appropriate Research Design
Chapter 4 Identifying Scientific Variables
97(36)
4.1 Criteria for Defining and Measuring Variables
98(1)
4.2 Constructs and Operational Definitions
99(3)
4.3 Types of Variables
102(2)
4.4 Scales of Measurement
104(5)
4.5 Reliability of a Measurement
109(4)
4.6 Validity of a Measurement
113(3)
4.7 Selecting a Measurement Procedure
116(5)
4.8 Ethics in Focus: Replication as a Gauge for Fraud?
121(1)
4.9 SPSS in Focus: Entering and Coding Data
122(11)
Chapter 5 Sampling From Populations
133(32)
5.1 Why Do Researchers Select Samples?
134(1)
5.2 Subjects, Participants, and Sampling Methods
134(3)
5.3 Methods of Sampling: Nonprobability Sampling
137(4)
5.4 Methods of Sampling: Probability Sampling
141(9)
5.5 Sampling Error and Standard Error of the Mean
150(1)
5.6 SPSS in Focus: Estimating the Standard Error of the Mean
151(2)
5.7 Potential Biases in Sampling
153(1)
5.8 Ethics in Focus: Participant Pools
154(1)
5.9 SPSS in Focus: Identifying New Populations Using the One-Sample t Test
155(10)
Chapter 6 Choosing a Research Design
165(36)
6.1 Designing a Study to Answer a Question
166(1)
6.2 Categories of Research Design
167(6)
6.3 Internal and External Validity
173(2)
6.4 Demonstrating Cause in an Experiment
175(5)
6.5 Ethics in Focus: Beneficence and Random Assignment
180(1)
6.6 Threats to the Internal Validity of a Research Study
181(8)
6.7 Threats to the External Validity of a Research Study
189(3)
6.8 External Validity, Experimentation, and Realism
192(1)
6.9 A Final Thought on Validity and Choosing a Research Design
193(8)
Section III: Nonexperimental Research Designs
Chapter 7 Naturalistic, Qualitative, and Existing Data Research Designs
201(36)
Naturalistic Observation
202(10)
7.1 An Overview of Naturalistic Observation
202(1)
7.2 The Research Setting: Natural and Contrived Settings
203(2)
7.3 Techniques for Conducting Naturalistic Observation
205(6)
7.4 Ethics in Focus: Influencing Participant Behavior
211(1)
Qualitative Designs
212(12)
7.5 An Overview of Qualitative Designs
212(3)
7.6 Qualitative Research Designs
215(8)
7.7 Ethics in Focus: Anonymity in Qualitative Research
223(1)
Existing Data Designs
224(13)
7.8 An Overview of Existing Data Designs
224(1)
7.9 Existing Data Designs
225(6)
7.10 Ethics in Focus: Existing Data and Experimenter Bias
231(6)
Chapter 8 Survey and Correlational Research Designs
237(40)
Survey Designs
238(15)
8.1 An Overview of Survey Designs
238(1)
8.2 Types of Survey Items
238(5)
8.3 Rules for Writing Survey Items
243(5)
8.4 Administering Surveys
248(2)
8.5 Surveys, Sampling, and Nonresponse Bias
250(2)
8.6 Ethics in Focus: Handling and Administering Surveys
252(1)
Correlational Designs
253(24)
8.7 The Structure of Correlational Designs
253(1)
8.8 Describing the Relationship Between Variables
254(6)
8.9 Limitations in Interpretation
260(4)
8.10 Correlation, Regression, and Prediction
264(1)
8.11 SPSS in Focus: Correlation and Linear Regression
265(12)
Section IV: Quasi-Experimental And Experimental Research Designs
Chapter 9 Quasi-Experimental and Single-Case Experimental Designs
277(38)
Quasi-Experimental Designs
278(18)
9.1 An Overview of Quasi-Experimental Designs
278(2)
9.2 Quasi-Experimental Design: One-Group Designs
280(2)
9.3 Quasi-Experimental Design: Nonequivalent Control Group Designs
282(3)
9.4 Quasi-Experimental Design: Time Series Designs
285(5)
9.5 Quasi-Experimental Design: Developmental Designs
290(5)
9.6 Ethics in Focus: Development and Aging
295(1)
Single-Case Experimental Designs
296(19)
9.7 An Overview of Single-Case Designs
296(1)
9.8 Single-Case Baseline-Phase Designs
297(7)
9.9 Validity, Stability, Magnitude, and Generality
304(3)
9.10 Ethics in Focus: The Ethics of Innovation
307(8)
Chapter 10 Between-Subjects Experimental Designs
315(36)
10.1 Conducting Experiments: Between-Subjects Design
316(1)
10.2 Experimental Versus Control Group
316(3)
10.3 Manipulation and the Independent Variable
319(4)
10.4 Variability and the Independent Variable
323(4)
10.5 Ethics in Focus: The Accountability of Manipulation
327(1)
10.6 Comparing Two Independent Samples
328(2)
10.7 SPSS in Focus: Two-Independent-Sample tTest
330(4)
10.8 Comparing Two or More Independent Samples
334(3)
10.9 SPSS in Focus: One-Way Between-Subjects ANOVA
337(4)
10.10 Measuring the Dependent Variable
341(2)
10.11 Advantages and Disadvantages of the Between-Subjects Design
343(8)
Chapter 11 Within-Subjects Experimental Designs
351(36)
11.1 Conducting Experiments: Within-Subjects Design
352(1)
11.2 Controlling Time-Related Factors
353(6)
11.3 Ethics in Focus: Minimizing Participant Fatigue
359(1)
11.4 Individual Differences and Variability
360(3)
11.5 Comparing Two Related Samples
363(4)
11.6 SPSS in Focus: Related-Samples tTest
367(2)
11.7 Comparing Two or More Related Samples
369(3)
11.8 SPSS in Focus: One-Way Within-Subjects ANOVA
372(4)
11.9 An Alternative to Pre-Post Designs: Solomon Four-Group Design
376(2)
11.10 Comparing Between-Subjects and Within-Subjects Designs
378(9)
Chapter 12 Factorial Experimental Designs
387(36)
12.1 Testing Multiple Factors in the Same Experiment
388(1)
12.2 Selecting Samples for a Factorial Design in Experimentation
389(1)
12.3 Types of Factorial Designs
390(4)
12.4 Ethics in Focus: Participant Fatigue and Factorial Designs
394(1)
12.5 Main Effects and Interactions
395(5)
12.6 Identifying Main Effects and Interactions in a Graph
400(4)
12.7 Including Quasi-Independent Factors in an Experiment
404(1)
12.8 Reasons for Including Two or More Factors in an Experiment
405(3)
12.9 Higher-Order Factorial Designs
408(2)
12.10 SPSS in Focus: General Instructions for Conducting a Factorial ANOVA
410(13)
Section V: Analyzing, Interpreting, And Communicating Research Data
Chapter 13 Analysis and Interpretation: Exposition of Data
423(36)
13.1 Descriptive Statistics: Why Summarize Data?
424(2)
13.2 Frequency Distributions: Tables and Graphs
426(3)
13.3 Measures of Central Tendency
429(4)
13.4 Measures of Variability
433(5)
13.5 SPSS in Focus: Central Tendency and Variability
438(1)
13.6 Graphing Means and Correlations
439(3)
13.7 Using Correlation to Describe Reliability
442(2)
13.8 SPSS in Focus: Cronbach's Alpha and Cohen's Kappa
444(6)
13.9 Ethics in Focus: Deception Due to the Distortion of Data
450(9)
Chapter 14 Analysis and Interpretation: Making Decisions About Data
459(36)
14.1 Inferential Statistics: What Are We Making Inferences About?
460(4)
14.2 Types of Error and Power
464(2)
14.3 Parametric Tests: Applying the Decision Tree
466(3)
14.4 Nonparametric Tests: Applying the Decision Tree
469(3)
14.5 SPSS in Focus: The Chi-Square Tests
472(5)
14.6 Effect Size: How Big Is an Effect in the Population?
477(5)
14.7 Estimation: What Are the Possible Values of a Parameter?
482(1)
14.8 Confidence Intervals, Significance, and Effect Size
483(1)
14.9 Issues for Interpretation: Precision and Certainty
484(2)
14.10 Ethics in Focus: Full Disclosure of Data
486(9)
Chapter 15 Communicating Research: Preparing Manuscripts, Posters, and Talks
495(32)
15.1 Elements of Communication
496(4)
15.2 Writing a Manuscript: Writing Style and Language
500(5)
15.3 Elements of an APA-Style Manuscript
505(11)
15.4 Literature Reviews
516(2)
15.5 Reporting Observations in Qualitative Research
518(1)
15.6 Ethics in Focus: Credit and Authorship
519(1)
15.7 Presenting a Poster
519(2)
15.8 Giving a Professional Talk
521(6)
Appendix A: APA-Style Writing, Sample Manuscript, and Posters 527(54)
A.1 Essentials for Writing APA-Style Research Papers
527(5)
A.2 Grammar, Punctuation, and Spelling (GPS) Writing Guide
532(29)
A.3 Sample APA-Style Manuscript
561(16)
A.4 Poster Template and Sample Poster
577(4)
Appendix B: Instructions for Randomizing and Counterbalancing 581(8)
B.1 Random Numbers Table
581(4)
B.2 Constructing a Latin Square
585(4)
Appendix C: SPSS General Instructions Guide and Statistical Tables 589(20)
C.1 General Instructions Guide for Using SPSS
589(12)
C.2 Statistical Tables
601(8)
Glossary 609(20)
References 629(14)
Index 643
Gregory J. Privitera is a three-time national-award-winning author and a professor of psychology at St. Bonaventure University where he is a recipient of its highest teaching honor, The Award for Professional Excellence in Teaching, and its highest honor for scholarship, The Award for Professional Excellence in Research and Publication. Dr. Privitera received his PhD in behavioral neuroscience in the field of psychology at the State University of New York at Buffalo and continued with his postdoctoral research at Arizona State University. His texts span diverse topics in psychology and the behavioral sciences and include an introductory psychology text, three statistics texts, two research methods texts, and multiple other texts bridging knowledge creation across health, health care, and analytics. In addition, Dr. Privitera has authored more than three dozen peer-reviewed papers aimed at advancing our understanding of health, health literacy, and informing policy in health care. His research has earned recognition by the American Psychological Association and in media to include Oprahs Magazine, Time Magazine, and the Wall Street Journal. He mentors a variety of undergraduate research projects at St. Bonaventure University, where dozens of students, many of whom have gone on to earn graduate and doctoral degrees at various institutions, have coauthored and presented research work. In addition to his teaching, research, and advisement, Dr. Privitera is a veteran of the U.S. Marine Corps, is an identical twin, and is married with two daughters, Grace Ann and Charlotte Jane, and two sons, Aiden Andrew and Luca James.