Statistics in Music Education Research
-
10% KEDVEZMÉNY?
- A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
- Kiadói listaár GBP 122.50
-
58 524 Ft (55 737 Ft + 5% áfa)
Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.
- Kedvezmény(ek) 10% (cc. 5 852 Ft off)
- Kedvezményes ár 52 671 Ft (50 163 Ft + 5% áfa)
Iratkozzon fel most és részesüljön kedvezőbb árainkból!
Feliratkozom
58 524 Ft
Beszerezhetőség
Megrendelésre a kiadó utánnyomja a könyvet. Rendelhető, de a szokásosnál kicsit lassabban érkezik meg.
Why don't you give exact delivery time?
A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.
A termék adatai:
- Kiadó OUP USA
- Megjelenés dátuma 2018. május 24.
- ISBN 9780190695217
- Kötéstípus Keménykötés
- Terjedelem354 oldal
- Méret 163x236x22 mm
- Súly 630 g
- Nyelv angol
- Illusztrációk 157 illustrations 0
Kategóriák
Rövid leírás:
In Statistics in Music Education Research, author Joshua Russell offers a new course book that explains the process of using a range of statistical analyses from inception to research design to data entry to final analysis using understandable descriptions and examples from extant music education research.
TöbbHosszú leírás:
In Statistics in Music Education Research, author Joshua Russell explains the process of using a range of statistical analyses from inception to research design to data entry to final analysis using understandable descriptions and examples from extant music education research. He explores four main aspects of music education research: understanding logical concepts of statistical procedures and their outcomes; critiquing the use of different procedures in extant and developing research; applying the correct statistical model for not only any given dataset, but also the correct logic determining which model to employ; and reporting the results of a given statistical procedure clearly and in a way that provides adequate information for the reader to determine if the data analysis is accurate and interpretable.
While it is written predominately for graduate students in music education courses, Statistics in Music Education Research will also help music education researchers and teachers of music educators gain a better understanding of how parametric statistics are employed and interpreted in music education.
Ive been teaching research methods at the collegiate level for over 20 years and utilized statistics in my own scholarship even longer. Ive continually studied the topic to further my own understanding and to discover ways in which I could assist my students in comprehending the subject. If only this book would have been written sooner! Joshua Russell has removed the cloak of mystery surrounding statistics through this straightforward, accessible text. While there are many statistics books on the market, Statistics in Music Education Research is written specifically for music education researchers, teachers, and students. Russells clear prose, examples from published music education research studies, and detailed step-by-step instructions will benefit both novices and those who are experienced. I highly recommend it for use in the college classroom and as a reference on every music educators bookshelf.
Tartalomjegyzék:
Preface ix
About the Companion Website
Section 1: Introduction
Chapter 1: Fundamental Principles
Chapter 2: Descriptive Statistics
Section 2: Parametric Statistical Procedures
Chapter 3: Pearson Product Moment Correlation
Chapter 4: One Sample T-Test
Chapter 5: Dependent Samples T-Test
Chapter 6: Independent Samples t-test
Chapter 7: Univariate Analysis of Variance (ANOVA)
Chapter 8: Factorial ANOVA
Chapter 9: Multivariate Analysis of Variance (MANOVA)
Chapter 10: Repeated Measures Analysis of Variance
Chapter 11: Univariate Analysis of Covariance (ANCOVA)
Chapter 12: Multivariate Analysis of Covariance (MANCOVA)
Chapter 13: Regression Analysis
Chapter 14: Data Reduction: Factor and Principle Component Analysis
Chapter 15: Discriminant Analysis
Section 3: Reliability Analysis
Chapter 16: Cronbach's Alpha
Chapter 17: Split-half Reliability
Section 4: Nonparametric Tests
Chapter 18: Chi-Square
Chapter 19: Mann-Whitney U Test
Chapter 20: Kruskal Wallis H Test
Chapter 21: Spearman Correlation
Chapter 22: Wilcoxon Test
Chapter 23: Friedman's Test
Appendix 406
Index
