## Scale Development: Theory and ApplicationsIn the Fourth Edition of Scale Development, Robert F. DeVellis demystifies measurement by emphasizing a logical rather than strictly mathematical understanding of concepts. The text supports readers in comprehending newer approaches to measurement, comparing them to classical approaches, and grasping more clearly the relative merits of each. This edition addresses new topics pertinent to modern measurement approaches and includes additional exercises and topics for class discussion. |

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Relative efficacy of assessment tools in measuring different aspects of development - assessment

### Contents

Exercises | |

Chapter 3 Reliability | |

4 | |

Chapter 5 Guidelines in Scale Development | |

6 | |

Chapter 6 Factor Analysis | |

7 | |

6 | |

Chapter 8 Measurement in the Broader Research | |

3 | |

Chapter 8 Measurement in the Broader Research Context 11 References | |

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### Common terms and phrases

ability alternative analytic assess assume assumptions attribute average interitem correlation bifactor model causal change score Chapter characteristics classical measurement classical test theory coefficient alpha common factors conceptual confidence intervals consider construct validity content validity continuum correlation matrix corresponding covariance matrix criterion criterionrelated validity described determine DeVellis discussed eigenvalue equal error variance essential tau equivalence estimate example factor analysis Figure formula generalizability Guttman scale hypothetical important indicators individual items instrument investigator involved IRT approaches item response theory item set item’s latent variable Likert scale loadings means measurement theory methods number of factors number of items observed score omega parallel tests path phenomenon principal components analysis questionnaire relationships relatively relevant reliability represent response options result rotation sample scale development score variance set of items share similar social specific statistical subsets theoretical Thurstone scale total variance true score typically unidimensional values variation yield