In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We discuss the comparative advantages of this approach over a one-step approach. Considerations in specification, assessment of fit, and respecification of measurement models using confirmatory factor analysis are reviewed. As background to the two-step approach, the distinction between exploratory and confirmatory analysis, the distinction between complementary approaches for theory testing versus predictive application, and some developments in estimation methods also are discussed.

/pdf/structural-equation-modeling-in-practice-a-review-and-1ue2omj492.pdf

Structural equation modeling in practice: a review and recommended two-step approach

A Scaling Method for Priorities in Hierarchical Structures

Tested the 2-process theory of detection, search, and attention presented by the current authors (1977) in a series of experiments. The studies (a) demonstrate the qualitative difference between 2 modes of information processing: automatic detection and controlled search; (b) trace the course of the

http://psycnet.apa.org/doi/10.1037/0033-295X.84.2.127

Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory.

Miller (1956) summarized evidence that people can remember about seven chunks in short-term memory (STM) tasks. How- ever, that number was meant more as a rough estimate and a rhetorical device than as a real capacity limit. Others have since suggested that there is a more precise capacity limit, but that it is only three to five chunks. The present target article brings together a wide vari- ety of data on capacity limits suggesting that the smaller capacity limit is real. Capacity limits will be useful in analyses of information processing only if the boundary conditions for observing them can be carefully described. Four basic conditions in which chunks can be identified and capacity limits can accordingly be observed are: (1) when information overload limits chunks to individual stimulus items, (2) when other steps are taken specifically to block the recoding of stimulus items into larger chunks, (3) in performance discontinuities caused by the capacity limit, and (4) in various indirect effects of the capacity limit. Under these conditions, rehearsal and long-term memory cannot be used to combine stimulus items into chunks of an unknown size; nor can storage mechanisms that are not capacity- limited, such as sensory memory, allow the capacity-limited storage mechanism to be refilled during recall. A single, central capacity limit averaging about four chunks is implicated along with other, noncapacity-limited sources. The pure STM capacity limit expressed in chunks is distinguished from compound STM limits obtained when the number of separately held chunks is unclear. Reasons why pure capacity estimates fall within a narrow range are discussed and a capacity limit for the focus of attention is proposed.

/pdf/the-magical-number-4-in-short-term-memory-a-reconsideration-3704b9phuz.pdf

The magical number 4 in short-term memory: a reconsideration of mental storage capacity.

Two data sources--self-reports and peer ratings--and two instruments--adjective factors and questionnaire scales--were used to assess the five-factor model of personality. As in a previous study of self-reports (McCrae & Costa, 1985b), adjective factors of neuroticism, extraversion, openness to experience, agreeableness-antagonism, and conscientiousness-undirectedness were identified in an analysis of 738 peer ratings of 275 adult subjects. Intraclass correlations among raters, ranging from .30 to .65, and correlations between mean peer ratings and self-reports, from .25 to .62, showed substantial cross-observer agreement on all five adjective factors. Similar results were seen in analyses of scales from the NEO Personality Inventory. Items from the adjective factors were used as guides in a discussion of the nature of the five factors. These data reinforce recent appeals for the adoption of the five-factor model in personality research and assessment.

/pdf/validation-of-the-five-factor-model-of-personality-across-574uftu82i.pdf

Validation of the five-factor model of personality across instruments and observers.

iii Executive summary v Sommaire vi Table of contents vii List of figures ix 0. Introduction 1 1. Short-Term Memory 2 1.1 Effects/Paradigms of Serial Order Memory 2 1.2 Chaining Models 5 1.3 Ordinal Models 5 1.4 Positional models 6 1.5 Operator Modelling 9 2. Semantic Memory 10 2.1 Perspectives on Semantics 10 2.2 Lexical Semantics 12 2.3 Compositional Semantics 13 3. Episodic Memory 17 3.1 Differentiating Episodic from Semantic Memory 17 3.2 Models 18 3.2.1 Bayesian Models 21 3.2.2 Network Models 23 3.3 Comparing the Different Kinds of Models 25 3.4 Controlling Memory Access 25 4. Prospective Memory 27 4.1 Theoretical Approaches 28

Human Memory Models for Operator Simulation

Global matching models have provided an important theoretical framework for recognition memory. Key predictions of this class of models are that (1) increasing the number of occurrences in a study list of some items affects the performance on other items (list-strength effect) and that (2) adding new items results in a deterioration of performance on the other items (list-length effect). Experimental confirmation of these predictions has been difficult, and the results have been inconsistent. A review of the existing literature, however, suggests that robust length and strength effects do occur when sufficiently similar hard-to-label items are used. In an effort to investigate this further, we had participants study lists containing one or more members of visual scene categories (bathrooms, beaches, etc.). Experiments 1 and 2 replicated and extended previous findings showing that the study of additional category members decreased accuracy, providing confirmation of the category-length effect. Experiment 3 showed that repeating some category members decreased the accuracy of nonrepeated members, providing evidence for a category-strength effect. Experiment 4 eliminated a potential challenge to these results. Taken together, these findings provide robust support for global matching models of recognition memory. The overall list lengths, the category sizes, and the number of repetitions used demonstrated that scene categories are well-suited to testing the fundamental assumptions of global matching models. These include (A) interference from memories for similar items and contexts, (B) nondestructive interference, and (C) that conjunctive information is made available through a matching operation.

/pdf/category-length-and-category-strength-effects-using-images-4hczldfqag.pdf

Category-length and category-strength effects using images of scenes.

Human error is known to be responsible for approximately 80% of all system failures within industries such as aviation, power generation, and mining (Hollnagel, 1993). Many of these errors can be traced back to the design of the human-computer or human-machine system. For example, the London Ambulance Service installed a new computerised dispatch system in 1992 resulting in lengthy delays in the dispatch of ambulances to emergencies (Finklestein & Dowell, 1996). A number of the errors were caused by a slow human-computer interface in which exception messages were not prioritised, queues scrolled off the screen with no means of retrieval and duplicated calls were not identified. In order to overcome these types of design problems, a range of techniques have been developed to analyse the potential for human error within safety-critical systems, and to examine the consequences of errors for the system as a whole.

/pdf/development-of-hazard-analysis-techniques-for-human-computer-46njzfjf59.pdf

Development of hazard analysis techniques for human-computer systems

An underexploited role for psychology in trademark law is the testing of explicit or implicit judicial assumptions about consumer behavior. In this article we examine an assumption that is common across Commonwealth countries, namely, that similar packaging is unlikely to cause consumer confusion provided the brand names are dissimilar. We began by selecting branded products commonly found in supermarkets. For each existing brand we created 2 novel (fictitious) brands with highly similar packaging to the existing brand. One of these "lookalike" products had a similar name, the other a dissimilar name. Across 2 yes/no and 1 forced-choice experiments using photographs of the real and fictitious products we looked at false recognition rates. Contrary to the judicial assumption participants largely ignored the brand names when making their decisions based on memory. It was only when the pictures of the products were placed side-by-side (in the forced-choice task) that they paid the brand name any significant attention.

/pdf/how-important-is-the-name-in-predicting-false-recognition-4cuz8g2jnt.pdf

How Important is the Name in Predicting False Recognition for Lookalike Brands

Context effects in recognition have played a major role in evaluating theories of recognition. Understanding how context impacts recognition is also important for making sound trade mark law. Consumers attempting to discriminate between the brand they are looking for and a look-alike product often have to differentiate products which share a great deal of common context: positioning on the supermarket shelf, the type of store, aspects of the packaging, or brand claims. Trade mark and related laws aim to protect brands and reduce consumer confusion, but courts assessing allegations of trade mark infringement often lack careful empirical evidence concerning the impact of brand and context similarity, and, in the absence of such evidence, make assumptions about how consumers respond to brands that downplay the importance of context and focus on the similarity of registered marks. The experiments reported in this paper aimed to test certain common assumptions in trade mark law, providing evidence that shared context can cause mistakes even where brand similarity is low.

/pdf/recognition-in-context-implications-for-trade-mark-law-4x16wun1c4.pdf

Michael S. Humphreys

Papers

Human Memory Models for Operator Simulation

Category-length and category-strength effects using images of scenes.

Development of hazard analysis techniques for human-computer systems

How Important is the Name in Predicting False Recognition for Lookalike Brands

Recognition in context: Implications for trade mark law