Muutke küpsiste eelistusi

E-raamat: Practical Statistics: A Quick and Easy Guide to IBM(R) SPSS(R) Statistics, STATA, and Other Statistical Software

  • Formaat: EPUB+DRM
  • Ilmumisaeg: 18-Mar-2010
  • Kirjastus: SAGE Publications Inc
  • Keel: eng
  • ISBN-13: 9781506317915
Teised raamatud teemal:
  • Formaat - EPUB+DRM
  • Hind: 85,22 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 18-Mar-2010
  • Kirjastus: SAGE Publications Inc
  • Keel: eng
  • ISBN-13: 9781506317915
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

For upper-level undergraduate and graduate students in the social and behavioral sciences, Kremelberg, a statistical consultant and writer who has held research positions at the U. of Connecticut and the Institute for Community Research in Connecticut, explains how to run a variety of statistical analyses in IBM SPSS Statistics, STATA, and other programs. After introducing quantitative methods and statistics, he focuses on the practical use of statistics and descriptive statistics; commonly used tests like Pearson's coefficient, chi-square, and the ANOVA; linear and other forms of regression; factor analysis; time-series analysis; hierarchical linear modeling; and structural equation modeling. Annotation ©2010 Book News, Inc., Portland, OR (booknews.com)

This book is designed to provide you with step-by-step instructions for running a wide variety of statistical analyses in SPSS, Stata, and other programs. In early chapters, which cover charts and graphs through regression, time-series analysis, and factor analysis, a background of the method is presented, followed by sections detailing how to run these tests in SPSS and Stata. In the chapters on HLM and SEM, these tests are first described, then sections detailing how to run these tests in HLM and AMOS, respectively, are presented. This book's aim is to assist you in understanding a wide variety of statistical tests as well as giving you simple instructions on how to run and interpret the results of these tests.
About the Author xi
Preface xii
Acknowledgments xiii
Introduction xiv
An Introduction to Statistics and Quantitative Methods
1(11)
Outline of
Chapter
1(1)
Variables and Probability Levels
2(1)
Introduction to Probability
2(4)
Hypotheses and Tests
6(1)
Generalization and Representativeness
7(1)
Correlation and Causation
8(1)
The Normal Distribution
9(2)
Summary
11(1)
Resource
11(1)
An Introduction to IBM® SPSS® Statistics and Stata
12(45)
Outline of
Chapter
12(1)
Introduction
13(1)
IBM SPSS
14(26)
Introduction to IBM SPSS
14(3)
IBM SPSS: Creating New Data Sets
17(2)
IBM SPSS: Creating Variables
19(7)
IBM SPSS: Entering Data
26(1)
IBM SPSS: Recoding Data
27(5)
IBM SPSS: Selecting Cases
32(4)
IBM SPSS: Saving Data Sets
36(4)
Stata
40(14)
Introduction to Stata
40(3)
Stata: Creating New Data Sets
43(1)
Stata: Creating Variables
44(4)
Stata: Entering Data
48(1)
Stata: Recoding Data
49(1)
Stata: Selecting Cases
49(2)
Stata: Saving Data Sets
51(3)
Stat/Transfer
54(1)
Transferring Data Sets Between IBM SPSS, Stata, Excel, and Others
54(1)
Summary
55(1)
Resources
56(1)
Descriptive Statistics
57(62)
Outline of
Chapter
57(1)
Introduction and Theoretical Background
58(8)
Introduction
58(1)
Measures of Central Tendency: Mean---Introduction and Mathematical Background
59(1)
Measures of Central Tendency: Median---Introduction and Mathematical Background
60(1)
Measures of Central Tendency: Mode---Introduction and Mathematical Background
61(1)
Measures of Variability: Mathematical Background
62(3)
Tables: Introduction
65(1)
Charts and Graphs: Introduction
65(1)
IBM SPSS
66(32)
Measures of Central Tendency: Mean, Median, and Mode---IBM SPSS
66(6)
Measures of Variability: IBM SPSS (Menus)
72(3)
Measures of Variability: IBM SPSS (Syntax)
75(1)
Tables: IBM SPSS
76(2)
Charts and Graphs: IBM SPSS
78(20)
Stata
98(20)
Measures of Central Tendency: Mean, Median, and Mode---Stata
98(5)
Measures of Variability: Stata (Menus)
103(2)
Measures of Variability: Stata (Syntax)
105(1)
Tables: Stata
106(1)
Charts and Graphs: Stata
107(11)
Summary
118(1)
Resources
118(1)
Pearson's r, Chi-Square, t-Test, and ANOVA
119(86)
Outline of
Chapter
119(1)
Introduction and Theoretical Background
120(21)
Introduction
120(1)
Pearson's r: Theory
120(4)
Chi-Square: Theory
124(5)
t-Test: Theory
129(7)
ANOVA: Theory
136(5)
IBM SPSS
141(43)
Pearson's r: IBM SPSS
141(4)
Chi-Square: IBM SPSS
145(3)
t-Test: IBM SPSS
148(7)
One-Way ANOVA: IBM SPSS
155(6)
Factorial ANOVA: IBM SPSS
161(9)
Repeated Measures ANOVA: IBM SPSS
170(12)
ANOVA Syntax Summary
182(2)
Stata
184(20)
Pearson's r: Stata
184(3)
Chi-Square: Stata
187(1)
t-Test: Stata
188(5)
One-Way ANOVA: Stata
193(3)
Factorial ANOVA: Stata
196(2)
Repeated Measures ANOVA: Stata
198(6)
Summary
204(1)
Resources
204(1)
Linear Regression
205(30)
Outline of
Chapter
205(1)
Introduction and Theoretical Background
205(15)
Introduction
205(6)
Equations
211(9)
IBM SPSS
220(9)
Stata
229(4)
Summary
233(1)
Resources
234(1)
Logistic, Ordered, Multinomial, Negative Binomial, and Poisson Regression
235(52)
Outline of
Chapter
235(1)
Introduction
236(1)
IBM SPSS
237(31)
Introduction to the Data
237(2)
Logistic Regression
239(7)
Ordered Logistic Regression
246(4)
Multinomial Logistic Regression
250(5)
Negative Binomial and Poisson Regression
255(13)
Stata
268(18)
Introduction to the Data
268(2)
Logistic Regression
270(3)
Ordered Logistic Regression
273(3)
Multinomial Logistic Regression
276(4)
Negative Binomial and Poisson Regression
280(6)
Summary
286(1)
Resources
286(1)
Factor Analysis
287(28)
Outline of
Chapter
287(1)
Introduction
287(4)
IBM SPSS
291(17)
Stata
308(6)
Summary
314(1)
Resources
314(1)
Time-Series Analysis
315(24)
Outline of
Chapter
315(1)
Introduction
315(1)
IBM SPSS
316(19)
Exponential Smoothing
316(8)
ARIMA Models
324(11)
Curve Fitting
335(1)
Stata
335(2)
Exponential Smoothing
335(1)
ARIMA Models
336(1)
Summary
337(1)
Resources
338(1)
Hierarchical Linear Modeling
339(20)
Outline of
Chapter
339(1)
Introduction
339(1)
Hierarchical Linear Modeling
340(18)
Summary
358(1)
Resources
358(1)
Structural Equation Modeling
359(62)
Outline of
Chapter
359(1)
Introduction
359(4)
AMOS
363(57)
Introduction
363(1)
Running a Model in AMOS
364(34)
Modeling Nominal Variables
398(2)
Running a Factor Analysis
400(8)
Running a Model Using a Moderating Variable
408(12)
Summary
420(1)
Resources
420(1)
Appendix A. Selecting the Appropriate Test
421(1)
Appendix B. Tables of Significance
422(13)
Appendix C. Additional Statistical Tests and Equations
435(58)
Outline of Appendix C
435(1)
Introduction
435(1)
Non-Parametric Alternatives
436(1)
Testing for Normality
436(5)
Introduction
436(1)
SPSS
437(3)
Stata
440(1)
Additional Equations
441(52)
The z Test and z Scores
441(6)
The t-Test and t Scores
447(2)
Confidence Intervals---The z Statistic
449(2)
Confidence Intervals---The t Statistic
451(2)
Proportions
453(3)
Correlations
456(11)
Chi Square---Corrections and Alternative Tests
467(5)
ANCOVA, MANOVA, and MANCOVA
472(1)
Probability Distributions
473(11)
All Equations
484(9)
Glossary 493(14)
Index 507