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Conducting Quantitative Research in Education 1st ed. 2020 [Kõva köide]

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  • Formaat: Hardback, 201 pages, kõrgus x laius: 235x155 mm, kaal: 561 g, 127 Illustrations, color; 15 Illustrations, black and white; VIII, 201 p. 142 illus., 127 illus. in color., 1 Hardback
  • Ilmumisaeg: 24-Aug-2019
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811391319
  • ISBN-13: 9789811391316
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Conducting Quantitative Research in Education 1st ed. 2020Suurem pilt
  • Formaat: Hardback, 201 pages, kõrgus x laius: 235x155 mm, kaal: 561 g, 127 Illustrations, color; 15 Illustrations, black and white; VIII, 201 p. 142 illus., 127 illus. in color., 1 Hardback
  • Ilmumisaeg: 24-Aug-2019
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811391319
  • ISBN-13: 9789811391316
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789811391316.html
This book provides a clear and straightforward guide for all those seeking to conduct quantitative research in the field of education, using primary research data samples. While positioned as less powerful and somehow inferior, non-parametric tests can be very useful where the research can only be designed to accommodate data structure which is ordinal, or scale but violates a normality assumption, which is required for parametric tests. Non-parametric data are a staple of educational research, and as such, it is essential that educational researchers learn how to work with these data with confidence and rigour. 
1 Introduction
1(6)
1.1 What This Book Will Do
1(1)
1.2 The Importance of Engaging with Quantitative Research Methods and Analysis
2(1)
1.3 The Neglected Non-parametric Analysis
3(1)
1.4 Format and Suggested Engagement
4(1)
References
5(2)
2 Getting Started: What, Where, Why
7(18)
2.1 Introduction
7(1)
2.2 What Are Quantitative Methods All About and When Should I Use Them?
7(7)
2.2.1 The Research Process
7(3)
2.2.2 When Are Quantitative Methods Appropriate?
10(1)
2.2.3 What Types of Quantitative Measures Are Available to Me?
11(1)
2.2.4 In the Event of Writing Your Own Survey
12(2)
2.3 Where Can I Collect Quantitative Data and How Do I Go About It?
14(4)
2.3.1 What Could My Setting and Sample Look Like?
14(2)
2.3.2 Dissemination Methods for Surveys and Other Quantitative Methods
16(2)
2.3.3 How Many Times Should I Collect Data?
18(1)
2.4 Why Use Quantitative Methods? A Few Examples
18(5)
2.4.1 Pure Quantitative Research Designs
18(3)
2.4.2 Mixed Methods Research Designs
21(2)
2.5 Final Comments
23(1)
References
23(2)
3 Conducting Research with Children and Students
25(14)
3.1 Age Appropriate Tools
25(2)
3.2 Satisficing
27(2)
3.2.1 This Is Not a Test
28(1)
3.2.2 I Want to Know What You Really Think, Not What You Think I Want You to Say
28(1)
3.2.3 No One Will Know What You Said
28(1)
3.2.4 I Value Your Opinion
29(1)
3.3 The Importance of Piloting
29(1)
3.3.1 Pre-pilot
30(1)
3.3.2 Pilot
30(1)
3.4 What Am I Looking for in a Pilot?
30(2)
3.4.1 You Don't Know What You Don't Know
30(1)
3.4.2 You Want Your Data to Actually Be Reliable
31(1)
3.4.3 Your Reviewers Will Appreciate It
32(1)
3.5 Ethics
32(2)
3.6 Understanding and Engaging Schools
34(4)
3.6.1 The Cover Letter
34(3)
3.6.2 Other Considerations
37(1)
3.7 Final Comment
38(1)
References
38(1)
4 Data Types and Samples
39(8)
4.1 Data Types
39(2)
4.2 Samples
41(4)
Reference
45(2)
5 Data Preparation
47(18)
5.1 Data Entry in SPSS
49(2)
5.2 Knowing Your Data
51(8)
5.3 Recoding and Recomputing Data
59(6)
6 Analysis: Difference Between Groups
65(46)
6.1 Mann-Whitney U
66(9)
6.1.1 Assumptions
67(3)
6.1.2 Procedure
70(1)
6.1.3 Output
71(1)
6.1.4 Checking the Assumptions
71(2)
6.1.5 Descriptive Statistics
73(2)
6.1.6 Report
75(1)
6.2 Kruskal-Wallis
75(10)
6.2.1 Assumptions
76(2)
6.2.2 Procedure
78(1)
6.2.3 Output
79(4)
6.2.4 Checking the Assumptions
83(2)
6.2.5 Report
85(1)
6.3 Chi-square
85(6)
6.3.1 Assumptions
86(1)
6.3.2 Procedure
87(2)
6.3.3 Output
89(1)
6.3.4 Checking the Assumptions
89(1)
6.3.5 Report
90(1)
6.4 McNemartest
91(5)
6.4.1 Assumptions
91(2)
6.4.2 Procedure
93(1)
6.4.3 Output
94(1)
6.4.4 Checking the assumptions
95(1)
6.4.5 Report
95(1)
6.5 Cochran's Q test
96(6)
6.5.1 Assumptions
96(2)
6.5.2 Procedure
98(1)
6.5.3 Output
99(2)
6.5.4 Checking the Assumptions
101(1)
6.5.5 Report
102(1)
6.6 Wilcoxon Signed-Rank
102(9)
6.6.1 Assumptions
102(2)
6.6.2 Procedure
104(1)
6.6.3 Output
105(1)
6.6.4 Checking the Assumptions
106(4)
6.6.5 Report
110(1)
7 Analysis: Correlation
111(22)
7.1 Spearman's Rho
111(9)
7.1.1 Assumptions
112(1)
7.1.2 Procedure
113(1)
7.1.3 Output
114(1)
7.1.4 Checking the Assumptions
115(5)
7.1.5 Report
120(1)
7.2 Kendall's Tau
120(6)
7.2.1 Assumptions
121(1)
7.2.2 Procedure
122(1)
7.2.3 Output
123(1)
7.2.4 Checking the Assumptions
124(2)
7.2.5 Report
126(1)
7.3 Cramer's V
126(7)
7.3.1 Assumptions
127(1)
7.3.2 Procedure
128(2)
7.3.3 Output
130(1)
7.3.4 Checking the Assumptions
131(1)
7.3.5 Report
132(1)
8 Analysis: Regression
133(44)
8.1 Simple Regression
136(16)
8.1.1 Assumptions
136(4)
8.1.2 Procedure
140(3)
8.1.3 Output
143(1)
8.1.4 Checking the Assumptions
144(8)
8.1.5 Report
152(1)
8.2 Binomial Regression
152(11)
8.2.1 Assumptions
153(2)
8.2.2 Procedure
155(2)
8.2.3 Output
157(3)
8.2.4 Checking the Assumptions
160(3)
8.2.5 Report
163(1)
8.3 Multinomial Regression
163(14)
8.3.1 Assumptions
164(1)
8.3.2 Procedure
165(1)
8.3.3 Output
166(5)
8.3.4 Checking the Assumptions
171(3)
8.3.5 Report
174(3)
9 Write Up and Research Translation
177(16)
9.1 The Plain English Report for Schools
178(1)
9.2 The Journal Article
179(3)
9.2.1 Good Fit
180(1)
9.2.2 Reputable
181(1)
9.2.3 Fast
182(1)
9.3 Unique Challenges in Publishing Quantitative and Mixed-Methods Articles in education
182(2)
9.4 Thesis by Publication
184(2)
9.4.1 But Is This Right for Me?
186(1)
9.5 Plain English Dissemination
186(3)
9.6 Altmetrics and (Social) Media-Supported Dissemination
189(1)
9.7 The Conference
190(1)
9.8 Final Comment
191(1)
References
191(2)
10 Conclusion and Further Reading
193(6)
10.1 Further Reading
195(4)
10.1.1 Readings About Mixed Methods Design
195(1)
10.1.2 Readings About Experimental Methods Design
195(1)
10.1.3 Readings About Sample Size, Power and Effect size
196(1)
10.1.4 Readings About Ethical Issues in Education and Social Science Research
196(1)
10.1.5 Readings About Survey Design
196(1)
10.1.6 Readings About Validity and Reliability
197(1)
10.1.7 Readings About Quantitative Analyses
197(1)
10.1.8 Readings About Reporting Educational Research
197(2)
Index 199
Dr Saiyidi Mat Roni is a lecturer  at the School of Business and Law at Edith Cowan University, Australia.Dr Margaret Kristin Merga is a senior lecturer  at the School of Education at Edith Cowan  University, Australia.Dr Julia Elizabeth Morris is a senior lecturer at the School of Education at Edith Cowan University, Australia.