E-raamat: Introduction to Statistics with SPSS for Social Science [Taylor & Francis e-raamat]

Part One Descriptive Statistics.
Chapter 1 Why you need statistics:
types of data
Chapter2 Describing variables: Tables and diagrams
Chapter3
Describing variables numerically: averages, variation and spread
Chapter4
Shapes of distributions of scores
Chapter 5 - Standard deviation, z-scoresand
standard error: the standard unit of measurement in statistics
Chapter 6
Relationships between two or more variables: diagrams and tables
Chapter 7
Correlation coefficients: Pearson correlation and Spearman’s rho
Chapter 8
Regression and standard error Part Two: Comparing Two or More Variables and
the Analysis of Variance.
Chapter 9 - The analysis of a questionnaire/survey
project
Chapter 10 The related t-test: Comparing two samples of
correlated/related scores
Chapter 11 the unrelated t-test: comparing two
samples of unrelated/uncorrelated scores
Chapter 12 Chi-square: Differences
between samples of frequency data Part Three: Introduction to Analysis of
Variance
Chapter 13 Analysis of variance (ANOVA): introduction to one-way
unrelated or uncorrelated ANOVA
Chapter 14 Two way analysis of variance for
unrelated/uncorrelated scores: two studies for the price of one?
Chapter 15
Analysis of covariance (ANCOVA): controlling for additional variables
Chapter
16 Multivariate analysis of variance (MANOVA)Part Four: More advanced
correlational statistics and techniques
Chapter 17 - Partial correlation:
spurious correlation, third or confounding variables (control variables),
suppressor variables
Chapter 18 Factor analysis: simplifying complex data
Chapter19 Multiple regression and multiple correlation
Chapter 20 Multinomial
logistic regression: Distinguishing between several differentcategories or
groups
Chapter 21 - Bionomial logistic regression
Chapter 22 - Log-linear
methods: The analysis of complex contingency tables

Faiza Qureshi