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.

https://espace.library.uq.edu.au/view/UQ:99508/Prospective_memory_air_traffic_control.pdf

Prospective memory in air traffic control

The current study investigated the ability of CogniScreen to differentiate older adults with mild cognitive impairment (MCI) from those reporting symptoms of depression. Participants included 140 community-based adults (30 MCI, 15 self-rated depressed, and 95 typical older adults) aged 50–89 years. Intergroup comparisons performed using receiver operating characteristic (ROC) analyses suggest tasks within CogniScreen are sensitive to clinically significant memory loss. Data provided partial support for some CogniScreen tasks to also differentiate individuals with MCI from those who are depressed. Results suggest CogniScreen may be potentially useful in screening older adults for early cognitive decline.

Utility of a computerised cognitive screen in MCI and depression in an older population

Using artificial neural nets to model implicit and explicit memory test performance.

In a part/whole free-recall paradigm, whole-list learning was examined as a function of the degree of part-list organization and the extent to which it was maintained. There was a significant positive relationship between both degree and maintenance of part-list organization and whole-list learning. In a second experiment, prior learning was shown to produce typical part/whole results when both lists were identical. The two experiments are viewed as failing to support an hypothesis of inappropriate organization; the role of list differentiation is discussed.

https://www.jstor.org/stable/pdfplus/1421849.pdf

Michael S. Humphreys

Papers

Prospective memory in air traffic control

Utility of a computerised cognitive screen in MCI and depression in an older population

Using artificial neural nets to model implicit and explicit memory test performance.

List Differentiation in Part/Whole Free Recall.

Fatigue and human error in the maritime domain