This book is designed to give students the confidence to understand theoretically issues like reliability and validity and through calculator and statistical packages such as Microsoft Excel, SPSS, SAS, and EQS. Students are shown that they can easily find reliability and validity measures without mathematics. Once exposed to measurement concepts, research design is the next topic. With this area, the topic of variables are cover-dependent, dependent, moderator, control, suppressor, and intervening. Additionally, the concepts of interval and external validity are discussed, and research designs are covered such as one-group, two-group, multiple treatment, factorial, quasi-experimental, and nested designs. Measures of central tendency and variability are presented, and examples are connected to a calculator and the statistical packages. The general univariate statistics are examined such as t-tests, analysis of variance, simple regression, analysis of covariance, nest analysis of variance, and the univariate and multivariate approaches to repeated measures. Two-way analysis of variance with repeated measures on one factor are covered along with multivariate matched pairs analysis, totally within repeated measures designs, and doubly multivariate repeated measures. Multiple regression, structured coefficients within multiple regression, interaction effects within multiple regression, cross-validation within multiple regression, logistic regression, multivariate regression, multilevel re-gression, factorial analysis of variance and covariance, stepdown analysis, discriminant analysis, exploratory and factor analysis, structural equations modeling, canonical correlation, and loglinear analysis are discussed. Finally, a nonmathematical treatment of psychological measurement, research designs, and statistics is presented.
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Basic Psychological Measurement, Research Designs, and Statistics Without Math,
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This review is from: Basic Psychological Measurement, Research Designs, And Statistics Without Math (Hardcover)
Basic Psychological Measurement, Research Designs, and Statistics Without Math is designed to give students and researchers the confidence to understand issues like reliability and validity through calculator and statistical packages such as Microsoft Excel, SPSS, SAS, and EQS. This text provides a modern treatment of measurement, research designs, and statistics. In addition, the assumptions of each statistic are discussed along with calculator and computer codes for calculations. This text emphasizes confidence intervals around reliability and validity indices and the testing specific hypotheses for reliability and validity indices, in contrast to the typical null hypothesis of zero. For school situations, this text covers nested designs, both the univariate and multivariate case. Effects sizes are covered in detail along with the computer codes for calculating confidence intervals around effect sizes. Moreover, this text covers 16 major correlations. Finally, this text covers the most common univariate and multivariate statistics, especial the multivariate approaches to repeated measures.
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Inside This Book
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First Sentence:
The material in this chapter was adapted from Sapp (2002). Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
actual alpha level, absolute covariance residuals, total test variance, reliability places upper bounds, worry survey, counternull value, adjusted cell mean, multiple treatment designs, descriptive discriminant analysis, nominal alpha level, covariate scores, true score theory, multiple regression context, semipartial correlation, suppressor variables, multilevel regression, post hoc procedures, job satisfaction scale, selection threat, squared area, nonequivalent control group design, sphericity assumption, validity indices, standardized beta weights, effect size measures Key Phrases - Capitalized Phrases (CAPs): (learn more)
Hotelling's Trace, Equal Variances, Pillai's Trace, Source of Variation, Analysis of Variance-Design, Multivariate Tests of Significance, African American, Error Sig, Source Type, Sphericity Assumed, Effect Value, Monte Carlo, Variable Hypoth, Test Name Value Approx, Error Hypoth, Independent Samples Test, Teachers Schools, Error Beta, Hartley's F-Max, Mean Adj, Mean Est, Mean Raw Resid, Test Anxiety Inventory, The Hawthorne, United States New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The material in this chapter was adapted from Sapp (2002). Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
actual alpha level, absolute covariance residuals, total test variance, reliability places upper bounds, worry survey, counternull value, adjusted cell mean, multiple treatment designs, descriptive discriminant analysis, nominal alpha level, covariate scores, true score theory, multiple regression context, semipartial correlation, suppressor variables, multilevel regression, post hoc procedures, job satisfaction scale, selection threat, squared area, nonequivalent control group design, sphericity assumption, validity indices, standardized beta weights, effect size measures Key Phrases - Capitalized Phrases (CAPs): (learn more)
Hotelling's Trace, Equal Variances, Pillai's Trace, Source of Variation, Analysis of Variance-Design, Multivariate Tests of Significance, African American, Error Sig, Source Type, Sphericity Assumed, Effect Value, Monte Carlo, Variable Hypoth, Test Name Value Approx, Error Hypoth, Independent Samples Test, Teachers Schools, Error Beta, Hartley's F-Max, Mean Adj, Mean Est, Mean Raw Resid, Test Anxiety Inventory, The Hawthorne, United States New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 6
books:
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- Test Anxiety by Marty Sapp on page 36, page 52, and page 140
- Basic Psychological Measurement, Research Designs, And Statistics Without Math by Marty Sapp in Front Matter (1), and Front Matter (2)
- Generalizability Theory by Robert L. Brennan on page 7
- Statistical Tables for Biological, Agricultural and Medical Research by Ronald A. Fisher in Back Matter
- Educational Measurement (American Council on Education/Oryx Series on Higher Education) by Robert L. Linn on page 73
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