Buch, Englisch, 608 Seiten, Format (B × H): 197 mm x 245 mm, Gewicht: 1226 g
With a Guide to SPSS
Buch, Englisch, 608 Seiten, Format (B × H): 197 mm x 245 mm, Gewicht: 1226 g
ISBN: 978-1-84920-594-8
Verlag: Sage Publications
The new edition features:
- Clear explanations of all the main techniques of statistical analysis
- A brand new student-friendly, easy-to-navigate design
- Even more step-by-step screenshots of SPSS commands and outputs
- An extensive glossary of terms, ideal for those new to statistics
- End of chapter exercises to help you put your learning into practice
- A new, fully updated companion website (www.uk.sagepub.com/argyrous3) with comprehensive student and lecturer resources including additional, discipline specific examples and online readings and WebCT/Blackboard quizzes.
This is the ideal textbook for any course in statistical methods across the health and social sciences and a perfect starter book for students, researchers and professionals alike.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
Weitere Infos & Material
PART ONE: AN INTRODUCTION TO STATISTICAL ANALYSIS
Variables and Their Measurement
Setting up an SPSS Data File
PART TWO: DESCRIPTIVE STATISTICS: GRAPHS AND TABLES
The Graphical Description of Data
The tabular Description of Data
Using Tables to Investigate the Relationship between Variables: Crosstabulations
Measures of Association for Crosstabulations: Nominal Data
Measures of Association for Crosstabulations: Ranked Data
Multivariate Analysis of Crosstabs: Elaboration
PART THREE: DESCRIPTIVE STATISTICS: NUMERICAL MEASURES
Measures of Central Tendency
Measures of Dispersion
The Normal Curve
Correlation and Regression
Multiple Regression
PART FOUR: INFERENTIAL STATISTICS: TESTS FOR A MEAN
Sampling Distributions
Introduction to Hypothesis Testing and the One Sample z-Test for a Mean
The One Sample t-Test for a Mean
Inference Using Estimation and Confidence Intervals
The Two Samples t-Test for the Equality of Means
The f-Test for the Equality of More Than Two Means: Analysis of Variance
The Two Dependent Samples t-Test for the Mean Difference
PART FIVE: INFERENTIAL STATISTICS: TESTS FOR FREQUENCY DISTRIBUTIONS
One Sample Tests for a Binomial Distribution
One Sample Tests for a Multinomial Distribution
The Chi-Square Test for Independence
Frequency Tests for Two Dependent Samples
PART SIX: INFERENTIAL STATISTICS: OTHER TESTS OF SIGNIFICANCE
Rank-Order Tests for Two or More Samples
The t-Test for a Correlation Coefficient
PART SEVEN: ADVANCED TOPICS
Statistical Power
Generating New Variables in SPSS: The Recode, Compute and Multiple Response Commands