methodology in the social sciences

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1.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.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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3.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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4.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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5.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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6.Bayesian Statistics for the Social Sciences

作者：David Kaplan 出版社：Guilford Pubn 出版日：2014/08/11 裝訂：精裝

Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and practical skills they need to apply Bayesian methodologies to the

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7.Applied Missing Data Analysis

作者：Craig K. Enders 出版社：Guilford Pubn 出版日：2010/04/23 裝訂：精裝

"This is a well-written book that will be particularly useful for analysts who are not PhD statisticians. Enders provides a much-needed overview and explication of the current technical literature on

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8.Spectral Analysis of Time-Series Data

作者：Rebecca M. Warner 出版社：Guilford Pubn 出版日：1998/05/01 裝訂：精裝

This book provides a thorough introduction to methods for detecting and describing cyclic patterns in time-series data. It is written both for researchers and students new to the area and for those wh

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9.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：精裝

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10.Introduction to Mediation, Moderation, and Conditional Process Analysis ─ A Regression-based Approach

作者：Andrew F. Hayes 出版社：Guilford Pubn 出版日：2017/12/13 裝訂：精裝

Lauded for its easy-to-understand, conversational discussion of the fundamentals of mediation, moderation, and conditional process analysis, this book has been fully revised with 50% new content, incl

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11.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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12.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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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：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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14.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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15.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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16.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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17.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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18.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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19.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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20.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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