SAGE Quantitative Research Methods
eBook - PDF

SAGE Quantitative Research Methods

W Paul Vogt

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  2. English
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eBook - PDF

SAGE Quantitative Research Methods

W Paul Vogt

DĂ©tails du livre
Table des matiĂšres
Citations

À propos de ce livre

For more than 40 years, SAGE has been one of the leading international publishers of works on quantitative research methods in the social sciences. This new collection provides readers with a representative sample of the best articles in quantitative methods that have appeared in SAGE journals as chosen by W. Paul Vogt, editor of other successful major reference collections such as Selecting Research Methods (2008) and Data Collection (2010).

The volumes and articles are organized by theme rather than by discipline. Although there are some discipline-specific methods, most often quantitative research methods cut across disciplinary boundaries.

Volume One: Fundamental Issues in Quantitative Research

Volume Two: Measurement for Causal and Statistical Inference

Volume Three: Alternatives to Hypothesis Testing

Volume Four: Complex Designs for a Complex World

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Informations

Année
2011
ISBN
9781446275719

Table des matiĂšres

  1. Cover
  2. Contents
  3. Appendix of Sources
  4. Editor’s Introduction
  5. 1.1: General Orientations
  6. 1 - Ten Statisticians and Their Impacts for Psychologists
  7. 2 - 14 Conversations about Three Things
  8. 3 - Minimally Sufficient Research
  9. 4 - On Quantitizing
  10. 1.2: Experimental Methods
  11. 5 - The External Validity of Experiments
  12. 6 - Randomized Trials for the Real World: Making as Few and as Reasonable Assumptions as Possible
  13. 7 - Improving Causal Inference: Strengths and Limitations of Natural Experiments
  14. 8 - Having One’s Cake and Eating It, Too:Combining True Experiments with Regression Discontinuity Designs
  15. 1.3: Survey Research
  16. 9 - Capture–Recapture and Anchored Prevalence Estimation of Injecting Drug Users in England: National and Regional Estimates
  17. 10 - Constructing Summary Indices of Quality of Life: A Model for the Effect of Heterogeneous Importance Weights
  18. 11 - Advances in Age–Period–Cohort Analysis
  19. 12 - Selection Bias in Web Surveys and the Use of Propensity Scores
  20. 1.4: Methods for Missing Data
  21. 13 - Estimation of Causal Effects via Principal Stratification When Some Outcomes Are Truncated by “Death”
  22. 14 - Multiple Imputation for Missing Data: A Cautionary Tale
  23. 15 - Multiple Imputation: Current Perspectives
  24. 16 - Incomplete Hierarchical Data
  25. Volume II
  26. Contents
  27. 2.1: Measurement/Coding
  28. 17 - The Cost of Dichotomization
  29. 18 - Fidelity Criteria: Development, Measurement, and Validation
  30. 19 - Controlling Error in Multiple Comparisons, with Examples from State-to-State Differences in Educational Achievement
  31. 20 - Surrogate Endpoint Validation: Statistical Elegance versus Clinical Relevance
  32. 2.2: Causation
  33. 21 - Causation in the Social Sciences: Evidence, Inference, and Purpose
  34. 22 - Statistical Models for Causation: What Inferential Leverage Do They Provide?
  35. 23 - Identification of Causal Parameters in Randomized Studies with Mediating Variables
  36. 24 - Matching Estimators of Causal Effects: Prospects and Pitfalls in Theory and Practice
  37. 25 - Suppressor Variables in Path Models: Definitions and Interpretations
  38. 2.3: Program Evaluation and Individual Assessment
  39. 26 - Are Simple Gain Scores Obsolete?
  40. 27 - Ten Difference Score Myths
  41. 28 - What Are Value-Added Models Estimating and What Does This Imply for Statistical Practice?
  42. 29 - Setting Targets for Health Care Performance: Lessons from a Case Study of the English NHS
  43. 2.4: Statistical Inference
  44. 30 - The Insignificance of Null Hypothesis Significance Testing
  45. 31 - Correcting a Significance Test for Clustering
  46. 32 - A Comparison of Statistical Significance Tests for Selecting Equating Functions
  47. 33 - The Choice of Sample Size: A Mixed Bayesian/Frequentist Approach
  48. Volume III
  49. Contents
  50. 3.1 - Confidence Intervals and Effect Sizes
  51. 34 - Toward Policy-Relevant Benchmarks for Interpreting Effect Sizes: Combining Effects with Costs
  52. 35 - Replication and p Intervals: p Values Predict the Future Only Vaguely, but Confidence Intervals Do Much Better
  53. 36 - Confidence Intervals about Score Reliability Coefficients, Please: An EPM Guidelines Editorial
  54. 37 - Finite Sampling Properties of the Point Estimates and Confidence Intervals of the RMSEA
  55. 3.2: Meta-analysis
  56. 38 - Integrating Findings: The Meta-analysis of Research
  57. 39 - Reliability Generalization: Exploring Variance in Measurement Error Affecting Score Reliability across Studies
  58. 40 - The Relationship between Sample Sizes and Effect Sizes in Systematic Reviews in Education
  59. 41 - An Exploratory Test for an Excess of Significant Findings
  60. 42 - Expanded Information Retrieval Using Full-text Searching
  61. 3.3: Correlation and Regression
  62. 43 - Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition
  63. 44 - How Is a Statistical Link Established between a Human Outcome and a Genetic Variant?
  64. 45 - Using Quasi-variance to Communicate Sociological Results from Statistical Models
  65. 46 - Weighting Regressions by Propensity Scores
  66. 3.4: Logit and Probit Regression
  67. 47 - Comparing Logit and Probit Coefficients across Groups
  68. 48 - An Additional Measure of Overall Effect Size for Logistic Regression Models
  69. 49 - The Intermediate Endpoint Effect in Logistic and Probit Regression
  70. 50 - An Introduction to Crisp Set QCA,with a Comparison to Binary Logistic Regression
  71. 3.5: Categorical Data Analysis
  72. 51 - Univariate and Bivariate Loglinear Models for Discrete Test Score Distributions
  73. 52 - Testing for IIA in the Multinomial Logit Model
  74. 53 - Goodness-of-Fit Tests and Descriptive Measures in Fuzzy-set Analysis
  75. 54 - Is Optimal Matching Suboptimal?
  76. Volume IV
  77. Contents
  78. 4.1: Structural Equation Modeling
  79. 55 - The General Linear Model as Structural Equation Modeling
  80. 56 - Factor Retention Decisions in Exploratory Factor Analysis: A Tutorialon Parallel Analysis
  81. 57 - A Comparison of Item Response Theory and Confirmatory Factor Analytic Methodologies for Establishing Measurement Equivalence/Invariance
  82. 58 - The Importance of Structure Coefficients in Structural Equation Modeling Confirmatory Factor Analysis
  83. 4.2: Multilevel Modeling
  84. 59 - Multilevel Modeling: A Review of Methodological Issues and Applications
  85. 60 - Estimating Statistical Power and Required Sample Sizes for Organizational Research Using Multilevel Modeling
  86. 61 - From Micro to Meso: Critical Steps in Conceptualizing and Conducting Multilevel Research
  87. 62 - Growth Modeling Using Random Coefficient Models: Model Building,Testing, and Illustrations
  88. 4.3: Event History, Survival and Longitudinal Analyses
  89. 63 - Multi-state Models for Event History Analysis
  90. 64 - Discrete-Time Survival Mixture Analysis
  91. 65 - Multilevel Random Coefficient Analyses of Event- and Interval-Contingent Data in Social and Personality Psychology Research
  92. 66 - Business Cycles and Turning Points: A Survey of Statistical Techniques
  93. 4.4: Computer-Intensive and Hi-Tech Spatial Analysis Methods
  94. 67 - The Validity of Publication and Citation Counts for Sociology and Other Selected Disciplines
  95. 68 - A Web Crawler Design for Data Mining
  96. 69 - Analysis of Terrorist Social Networks with Fractal Views
  97. 70 - From Schelling to Spatially Explicit Modeling of Urban Ethnic and Economic Residential Dynamics
Normes de citation pour SAGE Quantitative Research Methods

APA 6 Citation

Vogt, P. (2011). SAGE Quantitative Research Methods (1st ed.). SAGE Publications. Retrieved from https://www.perlego.com/book/863157/sage-quantitative-research-methods-pdf (Original work published 2011)

Chicago Citation

Vogt, Paul. (2011) 2011. SAGE Quantitative Research Methods. 1st ed. SAGE Publications. https://www.perlego.com/book/863157/sage-quantitative-research-methods-pdf.

Harvard Citation

Vogt, P. (2011) SAGE Quantitative Research Methods. 1st edn. SAGE Publications. Available at: https://www.perlego.com/book/863157/sage-quantitative-research-methods-pdf (Accessed: 14 October 2022).

MLA 7 Citation

Vogt, Paul. SAGE Quantitative Research Methods. 1st ed. SAGE Publications, 2011. Web. 14 Oct. 2022.