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Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications 3rd Revised edition [Pehme köide]

(Guilford College), (Guilford College)
  • Formaat: Paperback / softback, 280 pages, kõrgus x laius: 279x215 mm, kaal: 670 g
  • Ilmumisaeg: 08-Mar-2022
  • Kirjastus: SAGE Publications Inc
  • ISBN-10: 1071817892
  • ISBN-13: 9781071817896
Teised raamatud teemal:
  • Formaat: Paperback / softback, 280 pages, kõrgus x laius: 279x215 mm, kaal: 670 g
  • Ilmumisaeg: 08-Mar-2022
  • Kirjastus: SAGE Publications Inc
  • ISBN-10: 1071817892
  • ISBN-13: 9781071817896
Teised raamatud teemal:
The third edition of the Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications by Kathrynn A. Adams and Eva K. McGuire gives students even more opportunities to practice and apply their knowledge in statistics and research methods. Written by the authors of Research Methods, Statistics, and Applications, the third edition of the study guide follows the third edition of the textbook for straightforward assigning and practice. New features include practice quizzes to give students both recognition and recall activities for better retention.  Learning objectives and brief chapter summaries from the main text remind students of what they've learned and orient students toward the exercises. In-depth exercises encourage students to build on their knowledge, requiring students to think critically and actively engage with the material. These exercises have been condensed and focus on moving students through the learning objectives at a quick pace. At the end of most chapters, "Your Research" sections encourage students to apply concepts to their own projects.  Now placed at the end of book, the IBM® SPSS®  workbook provides instructions for performing statistical calculations. Included in this workbook are additional exercises to practice data analysis and interpretation using the software. Answers to quizzes are listed immediately after each quiz in the book while answers to exercises are listed on the instructor resources website. 
Preface xii
Publisher's Acknowledgments xiv
About the Authors xv
Chapter 1 Thinking Like a Researcher
1(8)
Learning Objectives
1(1)
Chapter Summary
1(1)
Chapter 1 Quiz
1(2)
Chapter 1 Exercises
3(5)
Exercise 1.1 Critical Thinking
3(1)
Exercise 1.2 The Scientific Approach
4(2)
Exercise 1.3 The Research Process (Aka The Scientific Method)
6(1)
Exercise 1.4 Thinking Critically About Ethics
6(1)
Exercise 1.5 The Big Picture: Proof and Progress in Science
7(1)
Your Research
8(1)
Take a Scientific Approach to Identify a Research Topic
8(1)
Chapter 2 Build a Solid Foundation for Your Study Based on Past Research
9(9)
Learning Objectives
9(1)
Chapter Summary
9(1)
Chapter 2 Quiz
10(1)
Chapter 2 Exercises
11(6)
Exercise 2.1 Types of Sources
11(2)
Exercise 2.2 Strategies to Identify and Find Past Research
13(1)
Exercise 2.3 Reading and Evaluating Primary Research Articles
13(2)
Exercise 2.4 Crediting Sources
15(1)
Exercise 2.5 The Big Picture: Use the Past to Inform the Present
16(1)
Your Research
17(1)
Find Research on Your Topic
17(1)
Read, Evaluate, and Reference a Primary Research Article on Your Topic
17(1)
Chapter 3 Measuring Your Variables
18(9)
Learning Objectives
18(1)
Chapter Summary
18(1)
Chapter 3 Quiz
18(2)
Chapter 3 Exercises
20(6)
Exercise 3.1 Constructs and Operational Definitions
20(1)
Exercise 3.2 Scales of Measurement
21(1)
Exercise 3.3 Self-Report Measures
22(1)
Exercise 3.4 Behavioral and Physiological Measures
23(2)
Exercise 3.5 Archival Research
25(1)
Exercise 3.6 The Big Picture: How to Choose Measures for Your Study
25(1)
Your Research
26(1)
Chapter 4 The Cornerstones of Good Research: Reliability and Validity
27(10)
Learning Objectives
27(1)
Chapter Summary
27(1)
Chapter 4 Quiz
28(1)
Chapter 4 Exercises
29(7)
Exercise 4.1 Reliability and Validity
29(1)
Exercise 4.2 Assessing the Reliability of Measures
30(1)
Exercise 4.3 Assessing the Validity of Measures
31(1)
Exercise 4.4 Reliability and Validity at the Study Level
32(1)
Exercise 4.5 The Big Picture: Consistency and Accuracy
33(3)
Your Research
36(1)
Chapter 5 Basics of Research Design: Description and Sampling
37(7)
Learning Objectives
37(1)
Chapter Summary
37(1)
Chapter 5 Quiz
37(2)
Chapter 5 Exercises
39(4)
Exercise 5.1 When Is a Descriptive Study Appropriate?
39(1)
Exercise 5.2 Validity in Descriptive Studies
40(1)
Exercise 5.3 Defining the Population and Obtaining a Sample
40(1)
Exercise 5.4 Probability Sampling
41(1)
Exercise 5.5 Nonprobability Sampling
42(1)
Exercise 5.6 The Big Picture: Choosing a Sampling Method
43(1)
Your Research
43(1)
Chapter 6 Describing Your Sample
44(8)
Learning Objectives
44(1)
Chapter Summary
44(1)
Chapter 6 Quiz
44(2)
Chapter 6 Exercises
46(5)
Exercise 6.1 Ethical and Practical Issues in Describing Your Samples
46(1)
Exercise 6.2 Descriptive Statistics
46(2)
Exercise 6.3 Choosing the Appropriate Descriptive Statistics
48(2)
Exercise 6.4 Comparing Interval/Ratio Scores With z Scores and Percentiles
50(1)
Exercise 6.5 The Big Picture: Know Your Data and Your Sample
51(1)
Your Research
51(1)
Chapter 7 Beyond Descriptives: Making Inferences Based on Your Sample
52(10)
Learning Objectives
52(1)
Chapter Summary
52(1)
Chapter 7 Quiz
53(1)
Chapter 7 Exercises
54(6)
Exercise 7.1 Inferential Statistics
54(1)
Exercise 7.2 Hypothesis Testing
55(1)
Exercise 7.3 Errors in Hypothesis Testing
56(1)
Exercise 7.4 Effect Size, Confidence Intervals, and Practical Significance
57(1)
Exercise 7.5 The Big Picture: Making Sense of Results
58(2)
Your Research
60(2)
Chapter 8 Comparing Your Sample to a Known or Expected Score
62(9)
Learning Objectives
62(1)
Chapter Summary
62(1)
Chapter 8 Quiz
62(2)
Chapter 8 Exercises
64(7)
Exercise 8.1 Choosing the Appropriate Test
64(1)
Exercise 8.2 One-Sample (Tests
65(2)
Exercise 8.3 Calculating an Effect Size
67(1)
Exercise 8.4 Calculating a Confidence Interval
67(1)
Exercise 8.5 The Big Picture: Examining One Variable at a Time
68(3)
Chapter 9 Examining Relationships Among Your Variables: Correlational Design
71(15)
Learning Objectives
71(1)
Chapter Summary
71(1)
Chapter 9 Quiz
72(1)
Chapter 9 Exercises
73(12)
Exercise 9.1 Correlation Design
73(1)
Exercise 9.2 Relationship Between Two Interval or Ratio Variables
74(7)
Exercise 9.3 Regression
81(3)
Exercise 9.4 The Big Picture: Correlational Design Versus Correlational Analysis
84(1)
Your Research
85(1)
Find and Evaluate a Nonexperimental Study on Your Topic
85(1)
Chapter 10 Examining Causality
86(9)
Learning Objectives
86(1)
Chapter Summary
86(1)
Chapter 10 Quiz
86(2)
Chapter 10 Exercises
88(6)
Exercise 10.1 Testing Cause and Effect
88(1)
Exercise 10.2 Eight Key Threats to Internal Validity
89(2)
Exercise 10.3 Basic Issues in Designing an Experiment
91(1)
Exercise 10.4 Validity in Experiments
92(1)
Exercise 10.5 The Big Picture: Benefits and Limits of Experimental Design
93(1)
Your Research
94(1)
Find and Evaluate an Experiment on Your Topic
94(1)
Chapter 11 Independent-Groups Designs
95(18)
Learning Objectives
95(1)
Chapter Summary
95(1)
Chapter 11 Quiz
96(1)
Chapter 11 Exercises
97(15)
Exercise 11.1 Designs With Independent Groups
97(1)
Exercise 11.2 Designing a Simple Experiment
98(1)
Exercise 11.3 Independent-Samples f Tests, Effects Sizes, and Confidence Intervals
99(6)
Exercise 11.4 Designs With More Than Two Independent Groups
105(1)
Exercise 11.5 Analysis of Multiple Independent-Groups Designs
105(5)
Exercise 11.6 The Big Picture: Selecting Analyses and Interpreting Results for Independent-Groups Designs
110(2)
Your Research
112(1)
Chapter 12 Dependent-Groups Designs
113(19)
Learning Objectives
113(1)
Chapter Summary
113(1)
Chapter 12 Quiz
114(1)
Chapter 12 Exercises
115(16)
Exercise 12.1 Designs With Dependent-Groups
115(1)
Exercise 12.2 Advantages and Drawbacks of Dependent Designs
116(3)
Exercise 12.3 Analysis of Dependent Two-Group Designs
119(3)
Exercise 12.6 Designs With More Than Two Dependent Groups
122(2)
Exercise 12.5 Analysis of Dependent Multiple-Groups Designs
124(4)
Exercise 12.6 The Big Picture: Selecting Analyses and Interpreting Results for Dependent-Groups Designs
128(3)
Your Research
131(1)
Chapter 1 Factorial Designs
132(11)
Learning Objectives
132(1)
Chapter Summary
132(1)
Chapter 1 Quiz
132(2)
Chapter 1 Exercises
134(8)
Exercise 13.1 Basic Concepts in Factorial Design
134(1)
Exercise 13.2 Rationale for Factorial Designs
135(1)
Exercise 13.3 2 × 2 Designs
135(3)
Exercise 13.4 Two-Way Between Subjects ANOVA
138(2)
Exercise 13.5 Beyond the 2 × 2 Independent-Groups Design
140(1)
Exercise 13.6 The Big Picture: Embracing Complexity
141(1)
Your Research
142(1)
Chapter 14 Nonparametric Statistics
143(14)
Learning Objectives
143(1)
Chapter Summary
143(1)
Chapter 14 Quiz
143(2)
Chapter 14 Exercises
145(11)
Exercise 14.1 Parametric and Nonparametric Statistics
145(1)
Exercise 14.2 Chi-Square Goodness of Fit
146(4)
Exercise 14.3 Chi-Square Test for Independence
150(3)
Exercise 14.4 Analyses for Dependent-Groups Designs with Nominal Data
153(1)
Exercise 14.5 Spearman's Rho
153(2)
Exercise 14.6 Analyses for Independent- and Dependent-Groups Designs with Ordinal Data
155(1)
Exercise 14.7 The Big Picture: Selecting Parametric Versus Nonparametric Tests
155(1)
Your Research
156(1)
Chapter 15 Focusing on the Individual: Case Studies and Single N Designs
157(8)
Learning Objectives
157(1)
Chapter Summary
157(1)
Chapter 15 Quiz
157(2)
Chapter 15 Exercises
159(5)
Exercise 15.1 Samples Versus Individuals
159(1)
Exercise 15.2 Case Studies
160(1)
Exercise 15.3 Qualitative Analyses
160(1)
Exercise 15.4 Single N Designs
161(2)
Exercise 15.5 The Big Picture: Choosing Between a Sample, Case Study, or Single N Design
163(1)
Your Research
164(1)
Is a Case Study or Single N Design a Good Choice for Your Topic?
164(1)
Chapter 16 How to Decide? Choosing a Research Design and Selecting the Correct Analysis
165(83)
Learning Objectives
165(1)
Chapter Summary
165(1)
Chapter 16 Quiz
165(2)
Chapter 16 Exercises
167(5)
Exercise 16.1 Choosing a Research Design
167(2)
Exercise 16.2 Selecting Your Statistical Analyses
169(2)
Exercise 16.3 The Big Picture: Beyond This Class
171(1)
Your Research
172(1)
IBM® SPSS® Workbook Part 1: Fundamentals of Data Analysis
173(20)
Before You Begin
173(1)
Data Entry
174(1)
Set up Your Data Set
174(3)
Enter Scores
177(1)
Check for Data Entry Errors Using SPSS
178(2)
Create Scale Scores
180(1)
Recoding Variables
180(2)
Reliability Analysis (Cronbach's Alpha)
182(3)
Compute a New Variable
185(1)
Managing Data
186(1)
Creating Groups
186(2)
Split the Data File, Select Groups, or Select a Random Sample
188(1)
Part 1 Practice Exercises
189(4)
IBM® SPSS® Workbook Part 2: Analyses to Examine One Variable at a Time
193(19)
Descriptive Statistics
193(1)
Nominal Variables
193(1)
Interval or Ratio Variables
194(5)
Writing up Results
199(3)
Descriptive Statistics Practice Exercises
202(2)
Confidence Intervals
204(1)
Data Entry
204(1)
Calculating the Confidence Interval for the Mean
204(1)
Writing up Results
205(1)
Confidence Intervals Practice Exercise
206(1)
One-Sample t Test
207(1)
Writing up Results
208(1)
One-Sample f Test Practice Exercise
208(2)
Chi-Square Goodness of Fit
210(1)
Writing up Results
210(1)
Chi-Square Goodness of Fit Practice Exercise
211(1)
IBM® SPSS® Workbook Part 3: Analyses to Examine Relationships (No Groups)
212(9)
Pearson's rand Spearman's Rho
212(1)
Data Entry
212(1)
Create a Scatterplot
212(1)
Calculate and Interpret a Correlation Coefficient
213(1)
Conducting Multiple Correlation Coefficients
214(1)
Writing up Results
215(2)
Linear Regression
217(2)
Part 3 Practice Exercises
219(2)
IBM® SPSS® Workbook Part 4: Analyses to Compare Independent Groups
221(24)
Independent-Samples f Test
221(1)
Data Entry
222(1)
Conducting an Independent-Samples t Test
223(1)
What Is Levenes Test?
224(1)
Effect Size for a Two Independent-Groups Design
225(2)
Writing up Results
227(1)
Independent-Samples f Test Practice Exercises
228(3)
One-Way Between-Subjects ANOVA
231(1)
Data Entry
231(1)
Conducting a One-Way ANOVA
231(4)
Writing up Results
235(1)
One-Way Between-Subjects ANOVA Practice Exercises
236(2)
Two-Way Between-Subjects ANOVA (or Three-way, etc.]
238(1)
Data Entry
238(1)
Conducting a Two-Way Between-Subjects ANOVA
239(1)
Writing up Results
240(2)
Two-Way Between-Subjects ANOVA Practice Exercises
242(3)
Nonparametric Statistics
245(3)
Conducting a Chi-Square Test for Independence
265(2)
Mann-Whitney (I and Kruskal-Wallis H Tests
267
IBM® SPSS® Workbook Part 5: Analyses for Dependent Groups and Mixed Designs
248
Dependent-Samples f Test
248(1)
Data Entry for Dependent Designs
249(1)
Conducting a Dependent-Samples t Test
250(1)
Writing up Results
251(1)
Dependent-Samples f Test Practice Exercises
251(4)
One-Way Within-Subjects ANOVA
255(1)
Data Entry
256(1)
Conducting a One-Way Within-Subjects ANOVA
256(3)
Writing up Results
259(1)
One-Way Within-Subjects ANOVA Practice Exercises
259(3)
Two-Way Within-Subjects ANOVA and Mixed ANOVA
262(1)
Nonparametric Statistics
262(1)
McNemar and Cochran 0 Tests
262(1)
Wilcoxon Tand Friedman %2 Tests
262
Kathrynn (Kathy) A. Adams earned her PhD in general experimental psychology from the University of Alabama in 1977. She was a Charles A. Dana Professor of Psychology at Guilford College when she retired in 2017 after 37 years of teaching. Her professional interests include gender issues, relationships, and teaching pedagogy. She worked with the Preparing Future Faculty Program for 20 years and helped establish the Early College at Guilford, a nationally ranked high school. In her spare time, she spends as much time as possible outdoors, practices yoga, and bakes chocolate desserts.

Eva K. McGuire earned her PhD in clinical psychology from Virginia Commonwealth University in 2002. She is a Charles A. Dana Professor of Psychology at Guilford College, where she has taught since 2003. Her research interests include environmental psychology and computer-mediated communication. Eva enjoys walking, yoga, and bike riding, and she loves to listen to live music.