Statistics in Psychology Using R and SPSS
β Scribed by Dieter Rasch, Klaus D. Kubinger, Takuya Yanagida(auth.)
- Tongue
- English
- Leaves
- 556
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Content:
Chapter 1 Concept of the Book (pages 3β11):
Chapter 2 Measuring in Psychology (pages 12β21):
Chapter 3 Psychology β an Empirical Science (pages 22β29):
Chapter 4 Definition β Character, Chance, Experiment, and Survey (pages 30β42):
Chapter 5 Numerical and Graphical Data Analysis (pages 45β97):
Chapter 6 Probability and Distribution (pages 101β129):
Chapter 7 Assumptions β Random Sampling and Randomization (pages 130β146):
Chapter 8 One Sample from One Population (pages 147β199):
Chapter 9 Two Samples from Two Populations (pages 200β234):
Chapter 10 Samples from more than Two Populations (pages 235β300):
Chapter 11 Regression and Correlation (pages 303β360):
Chapter 12 One Sample from One Population (pages 363β400):
Chapter 13 Samples from more than One Population (pages 401β445):
Chapter 14 Model Generation (pages 449β470):
Chapter 15 Theory?Generating Methods (pages 471β519):
β¦ Subjects
ΠΡΠΈΡ ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π΄ΠΈΡΡΠΈΠΏΠ»ΠΈΠ½Ρ;ΠΠ°ΡΠΌΠ΅ΡΠΎΠ΄Ρ ΠΈ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π² ΠΏΡΠΈΡ ΠΎΠ»ΠΎΠ³ΠΈΠΈ;
π SIMILAR VOLUMES
<P>This practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problem
Intended for anyone needing to apply statistical analysis to a large variety of science and engineering problems, this book shows how to use SPSS, MATLAB, STATISTICA and R for data description, statistical inference, classification and regression, factor analysis, survival data and directional stati
<p>Intended for anyone needing to apply statistical analysis to a large variety of science and engineering problems, this book shows how to use SPSS, MATLAB, STATISTICA and R for data description, statistical inference, classification and regression, factor analysis, survival data and directional st
This practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems,