methodology in the social sciences

Missing Data ─ A Gentle Introduction

作者：Patrick E. Mcknight; Katherine M. Mcknight; Souraya Sidani; Aurelio Jose Figueredo 出版社：Guilford Pubn 出版日：2007/03/28 裝訂：平裝

While most books on missing data focus on applying sophisticated statistical techniques to deal with the problem after it has occurred, this volume provides a methodology for the control and preventi

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2.

Psychometric Methods ─ Theory into Practice

作者：Larry R. Price 出版社：Guilford Pubn 出版日：2016/06/10 裝訂：精裝

Grounded in current knowledge and professional practice, this book provides up-to-date coverage of psychometric theory, methods, and interpretation of results. Essential topics include measurement and

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3.

Applied Meta-Analysis for Social Science Research

作者：Noel A. Card 出版社：Guilford Pubn 出版日：2011/07/18 裝訂：精裝

Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The a

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4.

Quasi-experimentation ― A Guide to Design and Analysis

作者：Charles S. Reichardt 出版社：Guilford Pubn 出版日：2019/08/20 裝訂：精裝

Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding con

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Hypothesis Testing and Model Selection in the Social Sciences

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5.

Hypothesis Testing and Model Selection in the Social Sciences

作者：David L. Weakliem 出版社：Guilford Pubn 出版日：2016/05/03 裝訂：精裝

Examining the major approaches to hypothesis testing and model selection, this book blends statistical theory with recommendations for practice, illustrated with real-world social science examples. It

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6.

Confirmatory Factor Analysis for Applied Research

作者：Timothy A. Brown 出版社：Guilford Pubn 出版日：2014/11/27 裝訂：平裝

This accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA) for its emphasis on practical and conceptual aspects rather than mathematics or formulas. Detail

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Doing Statistical Mediation and Moderation

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7.

Doing Statistical Mediation and Moderation

作者：Paul E. Jose 出版社：Guilford Pubn 出版日：2013/03/29 裝訂：平裝

Written in a friendly, conversational style, this book offers a hands-on approach to statistical mediation and moderation for both beginning researchers and those familiar with modeling. Starting with

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8.

Doing Statistical Mediation and Moderation

作者：Paul E. Jose 出版社：Guilford Pubn 出版日：2013/03/28 裝訂：精裝

Written in a friendly, conversational style, this book offers a hands-on approach to statistical mediation and moderation for both beginning researchers and those familiar with modeling. Starting with

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9.

Data Analysis with Mplus

作者：Christian Geiser 出版社：Guilford Pubn 出版日：2012/11/14 裝訂：平裝

A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts.

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定價：3190 元，優惠價：1 3190

10.

Regression Analysis and Linear Models ─ Concepts, Applications, and Implementation

作者：Richard B. Darlington; Andrew F. Hayes 出版社：Guilford Pubn 出版日：2016/09/13 裝訂：精裝

Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sci

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Conducting Personal Network Research ― A Practical Guide

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11.

Conducting Personal Network Research ― A Practical Guide

作者：Christopher Mccarty; Miranda J. Lubbers; Raffaele Vacca; Jos?Luis Molina 出版社：Guilford Pubn 出版日：2019/03/21 裝訂：平裝

Written at an introductory level, and featuring engaging case examples, this book reviews the theory and practice of personal and egocentric network research. This approach offers powerful tools for c

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定價：2842 元，優惠價：1 2842

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12.

Applied Meta-analysis for Social Science Research

作者：Noel A. Card 出版社：Guilford Pubn 出版日：2015/11/27 裝訂：平裝

Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The a

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定價：2842 元，優惠價：1 2842

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13.

Quasi-experimentation ― A Guide to Design and Analysis

作者：Charles S. Reichardt 出版社：Guilford Pubn 出版日：2019/08/20 裝訂：平裝

Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding con

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定價：3190 元，優惠價：1 3190

14.

Measurement Theory and Applications for the Social Sciences

作者：Deborah L. Bandalos 出版社：Guilford Pubn 出版日：2017/12/26 裝訂：精裝

Which types of validity evidence should be considered when determining whether a scale is appropriate for a given measurement situation? What about reliability evidence? Using clear explanations illus

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15.

Intensive Longitudinal Methods

作者：Niall Bolger; Jean-philippe Laurenceau 出版社：Guilford Pubn 出版日：2013/02/14 裝訂：精裝

A complete, practical guide to planning and executing an intensive longitudinal study, this book provides the tools for understanding within-subject social, psychological, and physiological processes

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定價：3422 元，優惠價：1 3422

16.

Theory Construction and Model-building Skills ― A Practical Guide for Social Scientists

作者：James Jaccard; Jacob Jacoby 出版社：Guilford Pubn 出版日：2020/01/27 裝訂：平裝

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17.

Confirmatory Factor Analysis for Applied Research

作者：Timothy A. Brown 出版社：Guilford Pubn 出版日：2014/11/27 裝訂：精裝

This accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA) for its emphasis on practical and conceptual aspects rather than mathematics or formulas. Detail

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18.

Principles and Practice of Structural Equation Modeling

作者：Rex B. Kline 出版社：Guilford Pubn 出版日：2015/11/12 裝訂：精裝

Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real da

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19.

Principles and Practice of Structural Equation Modeling

作者：Rex B. Kline 出版社：Guilford Pubn 出版日：2015/11/12 裝訂：平裝

Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real da

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20.

Longitudinal Structural Equation Modeling

作者：Todd D. Little 出版社：Guilford Pubn 出版日：2013/03/25 裝訂：精裝

Featuring actual data sets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for

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Missing Data ─ A Gentle Introduction

Psychometric Methods ─ Theory into Practice

Applied Meta-Analysis for Social Science Research

Quasi-experimentation ― A Guide to Design and Analysis

Hypothesis Testing and Model Selection in the Social Sciences

Confirmatory Factor Analysis for Applied Research

Doing Statistical Mediation and Moderation

Doing Statistical Mediation and Moderation

Data Analysis with Mplus

Regression Analysis and Linear Models ─ Concepts, Applications, and Implementation

Conducting Personal Network Research ― A Practical Guide

Applied Meta-analysis for Social Science Research

Quasi-experimentation ― A Guide to Design and Analysis

Measurement Theory and Applications for the Social Sciences

Intensive Longitudinal Methods

Theory Construction and Model-building Skills ― A Practical Guide for Social Scientists

Confirmatory Factor Analysis for Applied Research

Principles and Practice of Structural Equation Modeling

Principles and Practice of Structural Equation Modeling

Longitudinal Structural Equation Modeling