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Real Data Analysis -

Real Data Analysis

Shlomo Sawilowsky S (Herausgeber)

Buch | Softcover
444 Seiten
2007
Information Age Publishing (Verlag)
978-1-59311-564-7 (ISBN)
CHF 113,70 inkl. MwSt
Written by the authors who have been prolific in the arena of Real Data Analysis (RDA) as it applies to the social and behavioral sciences, especially in the disciplines of education and psychology. This work showcases their footprint on real data analysis for professors, researchers, educators, administrators, and graduate students.
The invited authors of this edited volume have been prolific in the arena of Real Data Analysis (RDA) as it applies to the social and behavioral sciences, especially in the disciplines of education and psychology. Combined, this brain trust represents 3,247 articles in refereed journals, 127 books published, US $45.3 Million in extramural research funding, 34 teaching and 92 research awards, serve(d) as Editor/Assistant Editor/Editorial Board Member for 95 peer reviewed journals, and provide( d) ad hoc reviews for 362 journals. Their enormous footprint on real data analysis is showcased for professors, researchers, educators, administrators, and graduate students in the second text in the AERA/SIG ES Quantitative Methods series.

Preface. Shlomo S. Sawilowsky; PART I: FOUNDATIONS; The Co-Evolution of Statistics and Hz, Joseph M. Hilbe; Effective Sample Size: A Crucial Concept, Thomas R. Knapp; Advances in Missing Data Methods and Implications for Educational Research, Chao-Ying Joanne Peng, Michael Harwell, Show-Mann Liou, Lee H. Ehman; Methods for Simulating Real World Data for the Psycho-Educational Sciences, Todd Christopher Headrick; How and Why I Use Real, Messy Data to Investigate Theory and Inform Decision Making, Ted Micceri; PART II: STATISTICAL METHODS; Using E-Mail Messages to Help Students Prepare for a Statistics Exam, Schuyler Huck; Randomization Tests: Statistical Tools for Assessing the Effects of Educational Interventions When Resources are Scarce, Joel R. Levin; A Skipped Multivariate Measure of Location: One- And Two-Sample Hypothesis Testing, Rand R. Wilcox, H. J. Keselman; Robust Step-Down Tests for Multivariate Group Differences, Lisa M. Lix, Ian Clara, Aynslie Hinds, Charles Bernstein; Dunn-Sidak Critical Values and p Values, Roger E. Kirk, Joel Hetzer; Controlling Experiment-wise Type I Errors: Good Advice for Simultaneous and Sequential Hypothesis Testing, Shlomo S. Sawilowsky, Patric R. Spence; Robustness and Power of Ordinal d for Paired Data, Du Feng; Factorial ANOVA in SPSS: Fixed-, Random-, and Mixed-Effects Models, Richard G. Lomax, Stacy Hughey Surman; ANOVA: Effect Sizes, Simulating Interaction vs. Main Effects, and a Modified ANOVA Table, Shlomo S. Sawilowsky; ANCOVA and Quasi-Experimental Design: The Legacy of Campbell and Stanley, Shlomo S. Sawilowsky; PART III: MEASUREMENT; Thinking About Item Response Theory from a Logistic Regression Perspective: A Focus on Polytomous Models, Amery D. Wu, Bruno D. Zumbo; Some Practical Uses of Item Response Time to Improve the Quality of Low-Stakes Achievement Test Data, Steven L. Wise, Xiaojing Kong; Using Moving Averages to Detect Exposed Test Items in Computer-Based Testing, Ning Han, Ronald K. Hambleton; An Empirical Calibration of the Effects of Multiple Sources of Measurement Error on Reliability Estimates for Individual Differences Measures, Frank L. Schmidt, Huy Ahn Le; Latent Structure of Attitudes toward Abortion, C. Mitchell Dayton; PART IV: DATA ANALYSIS; Hierarchical Linear Models and the Estimation of Students' Mathematics Achievement, Kathrin A. Parks, Dudley L. Poston, Jr.; Grade Inflation: An Examination at the Institutional Level, Sharon L. Weinberg; Using Discrete-Time Survival Analysis to Study Gender Differences in Leaving Mathematics, Suzanne E. Graham, Judith D. Singer; Nonparametric procedures for testing for dropout rates on University courses with application to an Italian case study, Rosa Arboretti Giancristofaro, Fortunato Pesarin, Luigi Salmaso, Aldo Solari; Nonparametric Approaches for Multivariate Testing with Mixed Variables and for Ranking on Ordered Categorical Variables with an Application to the Evaluation of Ph. D. Programs, Rosa Arboretti Giancristofaro, Fortunato Pesarin, Luigi Salmaso; Randomized Replicated Single-case Experiments: Treatment of Pain-related Fear by Graded Exposure In Vivo, Patrick Onghena, Johan W. S. Vlaeyen, Jeroen de Jong; Whole Brain Correlations: Examining Similarity Across Conditions of Overall Patterns of Neural Activation in fMRI, Arthur Aron, Susan Whitfield, Wemara Lichty; Principal Component Analysis of Senate Voting Patterns. Jan de Leeuw.

Erscheint lt. Verlag 30.5.2007
Reihe/Serie Quantitative Methods in Education & the Behavioral Sciences
Verlagsort Greenwich
Sprache englisch
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Sozialwissenschaften Pädagogik
ISBN-10 1-59311-564-4 / 1593115644
ISBN-13 978-1-59311-564-7 / 9781593115647
Zustand Neuware
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