Discovering Statistics Using IBM SPSS Statistics - North American Edition 5th edition

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Andy Field
Publisher: SAGE Publications

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  • Chapter 1: Why Is My Evil Lecturer Forcing Me to Learn Statistics?
    • 1: General Multiple Choice Questions (27)
    • 1: General Numeric Questions (9)
    • 1: Business Studies Multiple Choice Questions (15)
    • 1: Education Multiple Choice Questions (24)
    • 1: Health, Nursing, and Midwifery Multiple Choice Questions (5)
    • 1: Sports Science Multiple Choice Questions (25)

  • Chapter 2: The Spine of Statistics
    • 2: General Multiple Choice Questions (32)
    • 2: General Numeric Questions (9)
    • 2: Business Studies Multiple Choice Questions (16)
    • 2: Education Multiple Choice Questions (25)
    • 2: Health, Nursing, and Midwifery Multiple Choice Questions (25)
    • 2: Sports Science Multiple Choice Questions (26)

  • Chapter 3: The Phoenix of Statistics
    • 3: General Multiple Choice Questions (30)
    • 3: General Numeric Questions
    • 3: Business Studies Multiple Choice Questions (16)
    • 3: Education Multiple Choice Questions (16)
    • 3: Health, Nursing, and Midwifery Multiple Choice Questions (16)
    • 3: Sports Science Multiple Choice Questions (16)

  • Chapter 4: The IBM SPSS Statistics Environment
    • 4: General Multiple Choice Questions (27)
    • 4: General Numeric Questions
    • 4: Business Studies Multiple Choice Questions (16)
    • 4: Education Multiple Choice Questions (25)
    • 4: Health, Nursing, and Midwifery Multiple Choice Questions (25)
    • 4: Sports Science Multiple Choice Questions (25)

  • Chapter 5: Exploring Data with Graphs
    • 5: General Multiple Choice Questions (23)
    • 5: General Numeric Questions
    • 5: Business Studies Multiple Choice Questions (16)
    • 5: Education Multiple Choice Questions (24)
    • 5: Health, Nursing, and Midwifery Multiple Choice Questions (12)
    • 5: Sports Science Multiple Choice Questions (23)

  • Chapter 6: The Beast of Bias
    • 6: General Multiple Choice Questions (32)
    • 6: General Numeric Questions (5)
    • 6: Business Studies Multiple Choice Questions
    • 6: Education Multiple Choice Questions (25)
    • 6: Health, Nursing, and Midwifery Multiple Choice Questions (23)
    • 6: Sports Science Multiple Choice Questions (25)

  • Chapter 7: Non-Parametric Models
    • 7: General Multiple Choice Questions (21)
    • 7: General Numeric Questions (5)
    • 7: Business Studies Multiple Choice Questions (14)
    • 7: Education Multiple Choice Questions (24)
    • 7: Health, Nursing, and Midwifery Multiple Choice Questions (20)
    • 7: Sports Science Multiple Choice Questions (24)

  • Chapter 8: Correlation
    • 8: General Multiple Choice Questions (21)
    • 8: General Numeric Questions (5)
    • 8: Business Studies Multiple Choice Questions (16)
    • 8: Education Multiple Choice Questions (25)
    • 8: Health, Nursing, and Midwifery Multiple Choice Questions (23)
    • 8: Sports Science Multiple Choice Questions (25)

  • Chapter 9: The Linear Model (Regression)
    • 9: General Multiple Choice Questions (24)
    • 9: General Numeric Questions (11)
    • 9: Business Studies Multiple Choice Questions (16)
    • 9: Education Multiple Choice Questions (26)
    • 9: Health, Nursing, and Midwifery Multiple Choice Questions (22)
    • 9: Sports Science Multiple Choice Questions (26)

  • Chapter 10: Comparing Two Means
    • 10: General Multiple Choice Questions (20)
    • 10: General Numeric Questions (5)
    • 10: Business Studies Multiple Choice Questions (15)
    • 10: Education Multiple Choice Questions (24)
    • 10: Health, Nursing, and Midwifery Multiple Choice Questions (25)
    • 10: Sports Science Multiple Choice Questions (25)

  • Chapter 11: Moderation, Mediation, and Multicategory Predictors
    • 11: General Multiple Choice Questions (21)
    • 11: General Numeric Questions (5)
    • 11: Business Studies Multiple Choice Questions (16)
    • 11: Education Multiple Choice Questions (25)
    • 11: Health, Nursing, and Midwifery Multiple Choice Questions (16)
    • 11: Sports Science Multiple Choice Questions (25)

  • Chapter 12: GLM 1: Comparing Several Independent Means
    • 12: General Multiple Choice Questions (21)
    • 12: General Numeric Questions (11)
    • 12: Business Studies Multiple Choice Questions (17)
    • 12: Education Multiple Choice Questions (26)
    • 12: Health, Nursing, and Midwifery Multiple Choice Questions (26)
    • 12: Sports Science Multiple Choice Questions (23)

  • Chapter 13: GLM 2: Comparing Means Adjusted for Other Predictors (Analysis of Covariance)
    • 13: General Multiple Choice Questions (20)
    • 13: General Numeric Questions (5)
    • 13: Business Studies Multiple Choice Questions (16)
    • 13: Education Multiple Choice Questions (25)
    • 13: Health, Nursing, and Midwifery Multiple Choice Questions (25)
    • 13: Sports Science Multiple Choice Questions (24)

  • Chapter 14: GLM 3: Factorial Designs
    • 14: General Multiple Choice Questions (20)
    • 14: General Numeric Questions (11)
    • 14: Business Studies Multiple Choice Questions (16)
    • 14: Education Multiple Choice Questions (23)
    • 14: Health, Nursing, and Midwifery Multiple Choice Questions (26)
    • 14: Sports Science Multiple Choice Questions (22)

  • Chapter 15: GLM 4: Repeated-Measures Designs
    • 15: General Multiple Choice Questions (24)
    • 15: General Numeric Questions (11)
    • 15: Business Studies Multiple Choice Questions (16)
    • 15: Education Multiple Choice Questions (26)
    • 15: Health, Nursing, and Midwifery Multiple Choice Questions (25)
    • 15: Sports Science Multiple Choice Questions (25)

  • Chapter 16: GLM 5: Mixed Designs
    • 16: General Multiple Choice Questions (20)
    • 16: General Numeric Questions (5)
    • 16: Business Studies Multiple Choice Questions (16)
    • 16: Education Multiple Choice Questions (24)
    • 16: Health, Nursing, and Midwifery Multiple Choice Questions (19)
    • 16: Sports Science Multiple Choice Questions (23)

  • Chapter 17: Multivariate Analysis of Variance (MANOVA)
    • 17: General Multiple Choice Questions (20)
    • 17: General Numeric Questions (5)
    • 17: Business Studies Multiple Choice Questions (15)
    • 17: Education Multiple Choice Questions (25)
    • 17: Health, Nursing, and Midwifery Multiple Choice Questions (19)
    • 17: Sports Science Multiple Choice Questions (26)

  • Chapter 18: Exploratory Factor Analysis
    • 18: General Multiple Choice Questions (20)
    • 18: General Numeric Questions
    • 18: Business Studies Multiple Choice Questions (16)
    • 18: Education Multiple Choice Questions (23)
    • 18: Health, Nursing, and Midwifery Multiple Choice Questions (24)
    • 18: Sports Science Multiple Choice Questions (25)

  • Chapter 19: Categorical Outcomes: Chi-Square and Loglinear Analysis
    • 19: General Multiple Choice Questions (20)
    • 19: General Numeric Questions (5)
    • 19: Business Studies Multiple Choice Questions (16)
    • 19: Education Multiple Choice Questions (21)
    • 19: Health, Nursing, and Midwifery Multiple Choice Questions (24)
    • 19: Sports Science Multiple Choice Questions (24)

  • Chapter 20: Categorical Outcomes: Logistic Regression
    • 20: General Multiple Choice Questions (20)
    • 20: General Numeric Questions (5)
    • 20: Business Studies Multiple Choice Questions (17)
    • 20: Education Multiple Choice Questions (25)
    • 20: Health, Nursing, and Midwifery Multiple Choice Questions (25)
    • 20: Sports Science Multiple Choice Questions (25)

  • Chapter 21: Multilevel Linear Models
    • 21: General Multiple Choice Questions (20)
    • 21: General Numeric Questions (1)
    • 21: Business Studies Multiple Choice Questions (16)
    • 21: Education Multiple Choice Questions (25)
    • 21: Health, Nursing, and Midwifery Multiple Choice Questions (10)
    • 21: Sports Science Multiple Choice Questions (25)


With a set of questions created specifically for an online environment by textbook author Andy Field and a collection of application-based questions separated into 4 distinct disciplines, WebAssign is an ideal teaching tool to support adopters of Discovering Statistics Using IBM SPSS Statistics, 5th edition.

Questions in the collection include:
  • Numeric (Num) questions written by text author Andy Field.
  • Multiple Choice (MC) questions written by text author Andy Field.
  • A collection of application-based questions organized by chapter and covering the following disciplines: Business Studies, Education, Sports Science, and Health, Nursing, & Midwifery.
Use the Textbook Edition Upgrade Tool to automatically update all of your assignments from the previous edition to corresponding questions in this textbook.

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Most questions from this textbook are available in WebAssign. The online questions are identical to the textbook questions except for minor wording changes necessary for Web use. Whenever possible, variables, numbers, or words have been randomized so that each student receives a unique version of the question. This list is updated nightly.

Question Group Key
MC - General Multiple Choice
Num - General Numeric
Business - Business Studies Multiple Choice
Education - Education Multiple Choice
Health - Health, Nursing, & Midwifery Multiple Choice
SportsScience - SportsScience - Sports Science Multiple Choice


Question Availability Color Key
BLACK questions are available now
GRAY questions are under development


Group Quantity Questions
Chapter 1: Why Is My Evil Lecturer Forcing Me to Learn Statistics?
1.Business 15 001 002 003 004 005 006 007 008 009 010 011 012 013 014 016
1.Education 24 001 002 003 004 005 006 007 008 009 010 011 012 014 015 016 017 018 019 020 021 022 023 024 025
1.Health 5 001 002 007 008 009
1.MC 27 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027
1.Num 9 001 002 003 004 005 006 007 008 009
1.SportsScience 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 025 026 027
Chapter 2: The Spine of Statistics
2.Business 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
2.Education 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
2.Health 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
2.MC 32 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032
2.Num 9 001 002 003 004 005 006 007 008 009
2.SportsScience 26 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026
Chapter 3: The Phoenix of Statistics
3.Business 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
3.Education 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
3.Health 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
3.MC 30 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030
3.SportsScience 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
Chapter 4: The IBM SPSS Statistics Environment
4.Business 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
4.Education 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
4.Health 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
4.MC 27 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027
4.SportsScience 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
Chapter 5: Exploring Data with Graphs
5.Business 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
5.Education 24 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 019 020 021 022 023 024 025
5.Health 12 001 002 003 004 005 006 007 008 009 010 011 012
5.MC 23 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023
5.SportsScience 23 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023
Chapter 6: The Beast of Bias
6.Education 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
6.Health 23 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023
6.MC 32 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032
6.Num 5 001 002 003 004 005
6.SportsScience 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
Chapter 7: Non-Parametric Models
7.Business 14 001 002 003 004 005 006 007 008 009 010 011 012 013 014
7.Education 24 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 020 021 022 023 024 025
7.Health 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
7.MC 21 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021
7.Num 5 001 002 003 004 005
7.SportsScience 24 001 002 003 004 005 006 007 008 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
Chapter 8: Correlation
8.Business 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
8.Education 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
8.Health 23 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023
8.MC 21 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021
8.Num 5 001 002 003 004 005
8.SportsScience 25 001 002 003 004 005 006 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026
Chapter 9: The Linear Model (Regression)
9.Business 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
9.Education 26 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026
9.Health 22 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022
9.MC 24 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024
9.Num 11 001 002 003 004 005 006 007 008 009 010 011
9.SportsScience 26 001 002 003 004 005 006 007 008 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027
Chapter 10: Comparing Two Means
10.Business 15 001 002 003 004 005 006 007 008 009 010 011 012 013 015 016
10.Education 24 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 023 024 025
10.Health 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
10.MC 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
10.Num 5 001 002 003 004 005
10.SportsScience 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
Chapter 11: Moderation, Mediation, and Multicategory Predictors
11.Business 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
11.Education 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
11.Health 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
11.MC 21 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021
11.Num 5 001 002 003 004 005
11.SportsScience 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
Chapter 12: GLM 1: Comparing Several Independent Means
12.Business 17 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017
12.Education 26 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026
12.Health 26 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026
12.MC 21 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021
12.Num 11 001 002 003 004 005 006 007 008 009 010 011
12.SportsScience 23 001 002 003 004 005 006 008 010 012 014 015 016 017 018 019 020 021 022 023 024 025 026 027
Chapter 13: GLM 2: Comparing Means Adjusted for Other Predictors (Analysis of Covariance)
13.Business 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
13.Education 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
13.Health 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
13.MC 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
13.Num 5 001 002 003 004 005
13.SportsScience 24 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024
Chapter 14: GLM 3: Factorial Designs
14.Business 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
14.Education 23 001 002 003 004 005 006 007 008 009 011 012 013 014 015 016 017 018 019 020 021 022 023 026
14.Health 26 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026
14.MC 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
14.Num 11 001 002 003 004 005 006 007 008 009 010 011
14.SportsScience 22 001 002 003 004 005 006 007 009 010 011 012 013 014 015 016 017 018 022 023 024 025 026
Chapter 15: GLM 4: Repeated-Measures Designs
15.Business 16 001 002 003 004 005 006 007 008 010 011 012 013 014 015 016 017
15.Education 26 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026
15.Health 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
15.MC 24 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024
15.Num 11 001 002 003 004 005 006 007 008 009 010 011
15.SportsScience 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 023 024 025 026
Chapter 16: GLM 5: Mixed Designs
16.Business 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
16.Education 24 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024
16.Health 19 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019
16.MC 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
16.Num 5 001 002 003 004 005
16.SportsScience 23 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 021 022 023 024 025
Chapter 17: Multivariate Analysis of Variance (MANOVA)
17.Business 15 001 002 003 004 005 007 008 009 010 011 012 013 014 015 016
17.Education 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
17.Health 19 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019
17.MC 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
17.Num 5 001 002 003 004 005
17.SportsScience 26 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026
Chapter 18: Exploratory Factor Analysis
18.Business 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
18.Education 23 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023
18.Health 24 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024
18.MC 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
18.SportsScience 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
Chapter 19: Categorical Outcomes: Chi-Square and Loglinear Analysis
19.Business 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
19.Education 21 001 002 003 004 005 006 007 008 009 010 011 013 014 015 016 017 018 019 020 021 022
19.Health 24 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024
19.MC 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
19.Num 5 001 002 003 004 005
19.SportsScience 24 001 002 003 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
Chapter 20: Categorical Outcomes: Logistic Regression
20.Business 17 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017
20.Education 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
20.Health 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
20.MC 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
20.Num 5 001 002 003 004 005
20.SportsScience 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
Chapter 21: Multilevel Linear Models
21.Business 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
21.Education 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
21.Health 10 001 002 003 004 005 006 007 008 009 010
21.MC 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
21.Num 1 001
21.SportsScience 25 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025
Total 2361