Theoretical and empirical relationships between paired comparison, PC, same-different choice times and perceived difficulty on a cartwheel task are investigated. An ordering of pairs of stimuli by the use of discrimination choice time predicts the subject's ordering of these pairs according to difficulty of discrimination. Two general models are developed to predict unilateral similarity proportions from PC response latencies. Though both models predict that unilateral similarity proportions are related to directional PC choices, only the ratio of differences model predicts the obtained standard stimulus effect. / Arts, Faculty of / Psychology, Department of / Graduate

Photocopy of typescript. / Thesis (Ph. D.)--University of Hawaii at Manoa, 1978. / Bibliography: leaves 166-168. / Microfiche. / x, 168 leaves

Since the 1950's, researchers have sought unsuccessfully to identify a consensual psychometric structure of self-reported affect. One unresolved question, central to any psychometric model, is whether the structure includes bipolar or unipolar dimensions. For example, are positive and negative affect two ends of the same bipolar dimension or are they better represented by separable unipolar dimensions? In contrast to what has been assumed in previous analyses, a bipolar model is presented that distinguishes between two forms of bipolarity, each with its own conceptual definition, operational definition, and statistical properties. It is shown both conceptually and empirically that the two forms of bipolarity lead to different results when examined by traditional psychometric methods such as exploratory factor analysis, confirmatory factor analysis, and the linear correlation. Furthermore, when the bipolar model is applied to previous analyses, the psychometric evidence that has suggested unipolar dimensions can be interpreted as evidence suggesting bipolar dimensions. Two studies were conducted to examine specific predictions of the bipolar model. Study 1 examined judgements of the hypothesized opposites of hot-cold and happy-sad. Study 2 examined judgments of affect terms based on a circumplex model of affect characterized by orthogonal valence and activation dimensions. In both studies the bipolar model is strongly supported. Furthermore, the analyses highlighted specific problems with current methods that emphasize sophisticated techniques based on the correlation coefficient and demonstrated the utility of more simple descriptive statistics.

Since the 1950's, researchers have sought unsuccessfully to identify a consensual psychometric structure of self-reported affect. One unresolved question, central to any psychometric model, is whether the structure includes bipolar or unipolar dimensions. For example, are positive and negative affect two ends of the same bipolar dimension or are they better represented by separable unipolar dimensions? In contrast to what has been assumed in previous analyses, a bipolar model is presented that distinguishes between two forms of bipolarity, each with its own conceptual definition, operational definition, and statistical properties. It is shown both conceptually and empirically that the two forms of bipolarity lead to different results when examined by traditional psychometric methods such as exploratory factor analysis, confirmatory factor analysis, and the linear correlation. Furthermore, when the bipolar model is applied to previous analyses, the psychometric evidence that has suggested unipolar dimensions can be interpreted as evidence suggesting bipolar dimensions. Two studies were conducted to examine specific predictions of the bipolar model. Study 1 examined judgements of the hypothesized opposites of hot-cold and happy-sad. Study 2 examined judgments of affect terms based on a circumplex model of affect characterized by orthogonal valence and activation dimensions. In both studies the bipolar model is strongly supported. Furthermore, the analyses highlighted specific problems with current methods that emphasize sophisticated techniques based on the correlation coefficient and demonstrated the utility of more simple descriptive statistics. / Arts, Faculty of / Psychology, Department of / Graduate

No description available.

Ringo M.H. Ho. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1997. / Includes bibliographical references (leaves 75-81). / ACKNOWLEDGMENT --- p.2 / ABSTRACT --- p.3 / TABLE OF CONTENTS --- p.5 / LIST OF TABLES --- p.8 / Chapter CHAPTER 1 --- PREVIOUS STUDIES ON USING PROCRUSTES ROTATION TO ASSESS FACTORIAL INVARIANCE --- p.10 / Factorial invariance problem --- p.10 / Procrustes rotation with congruent coefficient as a way to test factorial invariance --- p.11 / Quantifying the Procrustes fit --- p.14 / Outline of the present study --- p.15 / Chapter CHAPTER 2 --- A CRITICAL EVALUATION OF THE PERMUTATION METHOD --- p.18 / Introduction --- p.18 / Method --- p.19 / Results and Discussions --- p.21 / Chapter CHAPTER 3 --- BOOTSTRAP TESTING PROCEDURE FOR A FULLY SPECIFIED TARGET --- p.24 / Introduction --- p.24 / A brief introduction to the bootstrap procedure --- p.24 / The bootstrap testing procedure for a fully specified target --- p.26 / Method --- p.28 / Results and Discussions --- p.28 / Chapter CHAPTER 4 --- BOOTSTRAP TESTING FOR A PARTIALLY SPECIFIED TARGET --- p.33 / Introduction --- p.33 / The bootstrap testing procedure for a partially specified target --- p.36 / Method --- p.38 / Quantifying the fit - congruence coefficients for the partial target rotation --- p.39 / Results and Discussions --- p.40 / Chapter CHAPTER 5 --- FURTHER EXTENSIONS OF THE BOOTSTRAP METHOD --- p.45 / Introduction --- p.45 / First extension - when correlation matrix is used --- p.45 / The modified bootstrap procedure --- p.45 / Method --- p.48 / Results and Discussions --- p.48 / Second extension - when raw data of the target sample is not available --- p.49 / The conditional bootstrap procedure for a fully specified target --- p.49 / Method --- p.50 / Results and Discussions --- p.51 / Chapter CHAPTER 6 --- THREE REAL EXAMPLES --- p.54 / Example 1 - Testing factorial invariance of CPAI between two random split samples --- p.54 / Results --- p.55 / Example 2 - Testing factorial invariance of CPAI between Chinese males and females --- p.56 / Results --- p.57 / Example 3 - Cross-cultural comparison of the Big Five Model between U. S. and Chinese samples --- p.58 / Results --- p.59 / Chapter CHAPTER 7 --- CONCLUSIONS --- p.62 / Practical remarks on the bootstrap procedure --- p.62 / A note on the transformation on the sample for constructing correct resampling space --- p.64 / Remarks on utilizing the congruence coefficients --- p.65 / How good are the congruence coefficients in detecting discrepancy between two factor structures? --- p.68 / Rule of thumb for factor congruence coefficient in checking factor replicability --- p.68 / Sample size requirement --- p.69 / Limitations of the present study --- p.70 / Direction of future studies --- p.71 / Concluding remarks --- p.73 / REFERENCES --- p.75 / NOTES --- p.82 / APPENDIX1 --- p.83 / TABLES 1 TO TABLES17 --- p.84

Thesis (M.A.)-- Chinese University of Hong Kong, 1975. / Bibliography: p. 67-78.

Kwan, Lok Yin. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2007. / Includes bibliographical references (leaves 80-83). / Abstracts in English and Chinese. / Chapter CHAPTER ONE: --- INTRODUCTION --- p.1 / The basic mediation model --- p.1 / General approaches in mediation analysis --- p.2 / Resampling methods --- p.8 / Comparing indirect effects --- p.9 / A sequential model fitting method --- p.10 / Current interest of study --- p.13 / Chapter CHAPTER TWO: --- STANDARDIZATION OF PATH COEFFICIENTS --- p.15 / Chapter CHAPTER THREE: --- COMPARING STANDARDIZED INDIRECT EFFECTS --- p.19 / Chapter CHAPTER FOUR: --- REAL EXAMPLES --- p.28 / Chapter CHAPTER FIVE: --- DISCUSSION --- p.55 / Chapter CHAPTER SIX: --- CONCLUSION --- p.57 / APPENDICES --- p.58 / REFERENCES --- p.80

published_or_final_version / Business Administration / Master / Master of Business Administration

中介效應和調節效應分析在心理學研究中廣泛存在。調節效應發生時，自變量和因變量的關係的強度或方向會因調節變量的水平而有所改變。另一方面，中介效應發生時，自變量會通過中介變量對因變量來產生影響(Baron& Kenny,1986) 。心理學家經常結合這兩種效應以處理更複雜的問題，例如:調節作用是如何發生或中介作用在什麼情況會有所改變。研究學者定義前者為有中介的調節作用，後者為有調節的中介作用。儘管在文獻中有許多關於中介的調節效應和有調節的中介效應的分析方法的討論，對於理解這兩種效應的混亂仍然存在。此外，結構方程模型分析方法雖然比傳統的迴歸分析方法更靈活和有效地處理這兩種效應的分析，但是文獻上卻甚少討論如何應用結構方程模型於有中介的調節作用和有調節的中介作用的分析上。本論文回應以上提出的問題，主要討論如何把結構方程模型的分析方法應用在有中介的調節效應和有調節的中介效應的分析上，論文的第一部份會透過闡明五種常見有關於有中介的調節效應和有調節的中介效應的概念模型以消除研究橕者對這兩種效應定義的誤解。在論文的第二部分將會提出一個用以轉換有中介的調節效應和有調節的中分效應的概念模型為能應用於結構方程模型分析法上的模型的統一方法，讓研究學者能統一方法中提出的規則簡易地把假設模型變成為可為結構方程模型作分析的模型。模擬實驗來比較迴歸方法和結構方程模型方法的實際效用。結果顯示，這兩種分析方法發現相近。論文最後的部份，引人用於潛變量調節作用分析上的unconstrained indicant product approach (Marsh et al., 2004) ，並結合本文提出的統一方法來分析有中介的調節作用和有調節的中介作用，模擬實驗結果顯示這種方法在大多數的模擬情況下表現令人滿意。然而，以評估模型擬合度的卡方檢定在模擬實驗的大多數情況中都並不準確，因此研究學者應謹慎處理卡方檢定。 / Moderation and mediation analyses are widespread in psychological research. Moderation occurs when the direction and/or strength of the relation between an independent variable and a dependent variable depends on the level of a moderating variable. Mediation, on the other hand, occurs when the effect of an independent variable on a dependent variable is transmitted through a mediating variable (Baron & Kenny, 1986). Psychologists often move beyond these two processes and ask more complex questions such as how a moderating effect takes place or when a mediating process varies in different contexts. The former question has been referred as mediated moderation while the latter one has been referred as moderated mediation. Despite the fact that there are many discussions about the analysis of mediated moderation and moderated mediation in the literature, the confusion over the interpretation of these two processes persists. In addition, the SEM method, which is known to be more flexible than traditional egression method for the analysis of mediated moderation and moderated mediation is rarely discussed in the literature. In response to these issues, the main objective of the present study was to examine the methods for the analysis of mediated moderation and moderated mediation in the SEM framework. The first part of this study resolved the confusion over the current interpretation of the mediated moderation and moderated mediation by demonstrating these two processes using five typical conceptual models of mediatedmoderation and moderated mediation. In the second part, a new unified method was proposed to provide some general rules for translating the conceptual models of mediated moderation and moderated mediation into the SEM working models. The empirical performance of SEM analysis against regression analysis was assessed by a simulation study. Results showed the two methods performed similarly across different model conditions. In the last part, the unconstrained indicant product approach (Marsh, et al., 2004) for latent moderation analysis was introduced and combined with the unified approach for the analysis of latent variable mediated moderation and moderated mediation models. Simulation findings suggested that this method performed satisfactorily for testing mediated moderating and moderated mediating effects in most simulation conditions. However, chi-square statistics for the evaluation of model fit should be used with cautious as simulation results indicated that they were not accurate in most cases. / Detailed summary in vernacular field only. / Kwan, Lok Yin. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2012. / Includes bibliographical references (leaves 104-114). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese. / ACKNOWLEDGEMENT --- p.iii / ABSTRACT --- p.v / CHINESE ABSTRACT --- p.vii / TABLE OF CONTENTS --- p.ix / Chapter CHAPTER 1 --- INTRODUCTION --- p.1 / Moderation --- p.2 / Mediation --- p.2 / Moving Beyond Moderation and Mediation --- p.4 / Objectives of This Study --- p.6 / Outline of the Following Chapters --- p.8 / Chapter CHAPTER 2 --- MEDIATED MODERATION AND MODERATED MEDIATION --- p.10 / Mediated Moderation --- p.11 / Moderated Mediation --- p.13 / Critical Issues Related to the Current Interpretations --- p.14 / Moderated Mediation within a Mediation Context --- p.19 / Mediated Moderation within a Moderation Context --- p.21 / Summary of This Chapter --- p.25 / Chapter CHAPTER 3 --- ANALYSIS OF MEDIATED MODERATION AND MODERATED MEDIATION --- p.27 / Models --- p.27 / Regression-based Methods --- p.33 / Structural Equation Modeling Approach --- p.39 / A Unified Approach for Model Specification in SEM --- p.42 / Regression-based Method Versus SEM Approach --- p.49 / Chapter CHAPTER 4 --- SIMULATION STUDY 1: REGRESSION-BASED VERSUS SEM-BASED METHODS --- p.51 / Design of the Simulation Study --- p.51 / Procedure --- p.54 / Results --- p.55 / Discussion and Conclusion --- p.63 / Chapter CHAPTER 5 --- LATENT VARIABLES MEDIATED MODERATION AND MODERATED MEDATION --- p.68 / Unconstrained Indicant Product Approach --- p.69 / Model Specifications of Latent meMO and moME Models --- p.76 / Simulation Study 2: Methods --- p.83 / Simulation Study 2: Results --- p..88 / Discussion and Conclusion --- p.94 / Chapter CHAPTER 6 --- CONCLUSION AND FUTURE DIRECTION --- p.97 / Practical Significance of This Study --- p.98 / Limitations and Future Direction --- p.99 / REFERENCES --- p.104 / ENDNOTES --- p.115 / LIST OF TABLES --- p.117 / TABLES --- p.119 / FIGURE CAPTION --- p.153 / FIGURES --- p.154