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A Guidebook of Statistical Software for the Social and Behavioral Sciences

A Guidebook of Statistical Software for the Social and Behavioral Sciences

          
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About the Book

Because standard statistical packages (e.g., SAS, SPSS, SYSTAT) do not account for every possible research situation, the authors have developed a collection of over 400 computer program descriptions written in a user-friendly manner. A Guidebook of Statistical Software for the Social and Behavioral Sciences is the first major reference of statistical software program descriptions along with the information necessary to obtain the programs. Not only do many of the programs mentioned in this volume augment the standard statistical packages, but they are also either free of charge or available for a nominal fee to the user. Furthermore, the computer programs described have been peer reviewed and published in various journals such as Educational and Psychological Measurement, Behavior Research Methods, Instruments & Computers, Computers in Biology and Medicine, Journal of Experimental Education, Behavioral Engineering, Measurement and Evaluation in Counseling and Development, and Teaching of Psychology. Whether you are a quantitative methods expert or a scholar/researcher who is apprehensive about the sophistication of today's statistical methods and computer programs, this book is a must for your reference shelf.

Table of Contents:
Chapter 1. Adaptive Testing. Agreement. Algebra Concepts. Analysis of Variance. Approximate Randomization Tests. Association Coefficients. Association Measures. Averaging. Chapter 2. Bayes Estimates. Binomial Mixtures. Bivariate. Normal Scores. Bonferroni Procedure. Bootstrapping. Box - Cox Transformation. Chapter 3. Calculus. Canonical Analysis. Canonical Correlation. Categorical Data Analysis. Categorized Data for Normality. Central Tendency. Chi - Square. Circular Data Analysis. Circular Distributions. Circular Statistics. Classification Analysis. Cluster Analysis. Cluster Similarity. Cochran's Q. Coefficient Alpha. Coefficient of Concordance. Coefficient of Variation. Cohort Analysis. Comparisons - ANCOVA . Comparisons Correlations. Comparisons - Means. Comparisons - Proportions. Comparisons - Variances. Confidence Intervals. Confidence Interval - Kappa. Confidence Interval - Median. Confidence Interval - Proportion. Configural Frequency Analysis. Conjoint Measurement. Contrast Analysis. Correction for Attenuation. Correction for Shrinkage. Correlation. Correlation - Averaging. Correlation - Averaging. Correlation - Bootstrap. Correlation - Ill Conditioned. Correlation - Independent. Correlation Matrices. Correlation - Multilevel Data. Correlation - Ordinal. Correlation - Polychoric. Correlation - Pooling. Correlation - Teaching. Correlation - Trends. Correspondence Analysis. Covariance Structural Modeling. Criterion - Referenced Tests. Critical Values and Probabilities. Cross - Validation. Cutting Scores. Chapter 4. Data Generation. Data Scoring. Decision Theory. Diagnostic Efficiency Statistics. Differential Item Functioning. Dimensionality. Discriminant Analysis. Discriminant Analysis - Bootstrapping. Discriminant Analysis - Jackknife. Domain Scores. Drug Dose Monitoring. Drug Pharmacokinetics. Dyadic Data. Chapter 5. Effect Size. Effect Size - Meta-Analysis. Effect Size, Power, Sample Size. Eigenvalues. Expectancy Tables. Expected Normal Scores. Chapter 6. Factor Analysis. Factor Analysis - Bootstrapping. Factor Analysis - Higher Order. Factor Analysis - Loadings. Factor Analysis - Rotation. Factor Scores. Factor Structure Comparisons. Factorial Designs - Confounded. Fisher's Exact Test. Forecasting. Chapter 7. G Statistic. Generalizability Analysis. Goodman and Kruskal's Gamma. Goodman and Kruskal's Tau-b. Goodness-of-fit - Exact Test. Graphics. Greco - Latin Squares. Growth Curve Analysis. Guttman's Least Square. Chapter 8. Half - Normal Critical Values. Half - Normal Scores. Hierarchical Linear Modeling & Hotelling's T. Chapter 9. Information Complexity. Internal Consistency. Interrater Agreement. Interval Scaling. Intraclass Correlation. Intraclass Reliability. Item Analysis. Item Bias. Item Response Theory. Chapter 10. Jackknife. James Second - Order Test. Johnson - Neyman Technique. Chapter 11. Kappa - Generalized. Kappa - Significance. Kappa - Weighted. Kendall's Tau. Chapter 12. Lag Sequential Analysis. Latent Trait Models. Linear Regression - Bootstrapping. Log - Linear Models. Log - Normal Distribution. Longitudinal Change. Chapter 13. Main Effects and Interactions. Mann - Whitney U Test. MANOVA. MANOVA - Nonparametric. Mantel - Haenzel Statistic. Marginal Homogeneity. Markov Chain Analysis. Markov Models. Matrix Algebra. Matrix Comparisons. Matrix Manipulations. Means and Variances. Mediating Variables. Medians - Skewed Distributions. Meta - Analysis. Meta-Analysis - Vote-Counting. Minimum Multivariate Function. Missing Data Estimation. Mixture Models. Moderator Effects. Mokken Test. Monotonicity. Multicollinearity. Multidimensional Scaling. Multimomial Distribution. Multinomial Probabilities. Multiple Comparisons - Games - Howell. Multiple Comparisons - Peritz. Multiple Correlation. Multiple - Cue Learning. Multiple Regression. Multistage Bonferroni. Multitrait - Multimethod Matrix. Multivariate Analyses. Multivariate Dyadic Data. Multivariate Linear Modeling. Multivariate Normality. Multivariate Normal Scores. Chapter 14. Nonparametric ANCOVA. Nonparametric ANOVA. Nonparametric - Page Test. Nonparametric Statistics. Normal Curve Area. Chapter 15. Order Analysis. Orthogonal Comparisons. Orthogonal Polynomials. Chapter 16. Parallel Analysis. Part Correlations - Contrasts. Partial Correlations. Permutation Tests. Pharmacokinetics. Power Analysis. Power Analysis - ANOVA. Power Analysis - Chi-Square. Power Analysis - Correlation. Power Analysis - Dichotomous Data. Power Analysis - Moderators. Power Analysis - Multiple Correlation. Power Analysis - Multiple Regression. Power Analysis - Multivariate. Power Analysis - Proportions. Power Analysis - Survival Analysis. Prediction Analysis. Principal Components. Probability - Exact. Profile Analysis. Proportions. Proximity Analysis. Proximity Data - Dissimilarity. Proximity Data - Tree Fitting. Proximity Values. Psi Phenomena. Chapter 17. Qualitative Analysis. Chapter 18. Radial Maze Statistics. Random Numbers. Randomization. Randomization Test. Randomization Test - ANOVA. Randomization Test - Single Case. Rasch Model. Rasch Model - Domain Scores. Rasch Model - Reliability. Ratings - Comparing. Ratings - Errors. Ratings - Scoring. Ratings - Validity. Reaction Times. Recall Tests. Regression Component Analysis. Regression - Mixed Effects. Reliability. Reliability - Comparisons. Reliability - Scaled Data. Reliability - Study Outcome. Reliability - Weighted Composite. Repertory Grid. Response Analysis. Response Sequence Analysis. Restriction of Range. Ridge Regression - Stepwise. ROC Curves. Roy's Largest Root Criterion. Runs Test. Chapter 19. Sample Size - Replication. Sampling. Scale Analysis. Scale Unidimensionality. Scaling - Unidmensional. Scalogram Analysis. Score Ability Estimates. Screening Indices. Segmented-Curve Models. Selecting Predictors. Selection Procedures. Sequential Analysis. Sequential Dependencies. Set Correlation. Signal Detection Analysis. Single Case Designs. Smoothing Data. Sociometric Structure. Sorting Data - Ranking. Standardizing. Statistical Analysis. Stepwise Regression. Structural Equation Modeling. Subjective Organization. Summary Statistics. Surface Mapping. Survival Analysis. Chapter 20. t Distribution - Probabilities. t-test. Taxometrics & Teaching Measurement Theory. Teaching Statistics. Test Bias. Tetrachoric Correlation. Time Series Analysis. Time Series Analysis - Autocorrelation. Time Series Analysis - Kalman Filter. Time Series Analysis - Trend.. Transformations - Data. Transformations - Nonnormal. Transformations - Normal. Transformations - Probits. Transformations - Random Variate. Transformations - Regression. Trend Analysis. Chapter 21. Uncertainty Analysis. Unidimensional Scaling. Univariate Linear Modeling. Univariate Statistics. Utility Analysis. Chapter 22. Validity Coefficients. Validity Generalization. Vector Sums. Verbal Protocol Analysis. Chapter = 23. Waveform Analysis. Within-Group Agreement.


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Product Details
  • ISBN-13: 9780205200634
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson
  • Height: 234 mm
  • No of Pages: 461
  • Weight: 677 gr
  • ISBN-10: 020520063X
  • Publisher Date: 28 Feb 1998
  • Binding: Hardback
  • Language: English
  • Spine Width: 21 mm
  • Width: 178 mm


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