Factor Analytic Models: Viewing the Structure of an Assessment Instrument From Three Perspectives

Byrne, Barbara M.

doi:10.1207/s15327752jpa8501_02

Cited by 411 publications

(370 citation statements)

References 49 publications

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“…However, it is established that the assumption can be violated when there is redundancy among the items -that is, asking the same question but using slightly different wordings (Byrne, 2005). Some of the nine items selected for the LPA in this study appeared to exhibit some conceptual overlap (see Table 1).…”

Section: Analytic Strategymentioning

confidence: 81%

Variations in social contexts and their effect on adolescent inhalant use: A latent profile investigation

Vaughn

Perron

Howard

2007

Drug and Alcohol Dependence

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The social contexts surrounding the use and abuse of inhalants is poorly understood. The aim of this study was to utilize Latent Profile Analysis (LPA) to identify specific subgroups of adolescents based on social contextual effects surrounding inhalant use episodes in a sample of 279 adolescent inhalant users. Findings revealed that a three-class solution exhibited the best empirical and conceptual fit with the data. Identified classes represented a gradient of low, moderate, and high levels of contextual effects where approximately one third of adolescent inhalant users reported high levels of inhalant use in response to social contextual influences. Subsequent validation analysis showed that these gradient-based classes were directly correspondent with severity in measures of psychopathology, past drug use, variety of inhalants used, and measures of impulsivity and fearlessness. Results indicate heterogeneity in contextual effects on inhalant use and suggest that follow-up studies should examine the role that susceptibility and exposure to contextual effects has on inhalant use.

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Section: Analytic Strategymentioning

confidence: 81%

Variations in social contexts and their effect on adolescent inhalant use: A latent profile investigation

Vaughn

Perron

Howard

2007

Drug and Alcohol Dependence

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“…This included a combination of exploratory factor analyses (EFA), confirmatory factor analyses (CFA) and structural equation modelling (SEM). EFA was selected as the intent of this analysis was to determine underlying relationships between the variables in the dataset (Byrne 2005). Specifically, the maximum likelihood method of extraction was selected as in the data screening stage assumptions of normality were not violated (Fabrigar et al 1999).…”

Section: Exploratory Factor Analysismentioning

confidence: 99%

Implicit theories of intelligence in STEM education: perspectives through the lens of technology education students

Buckley

O'Connor

Seery

et al. 2018

Int J Technol Des Educ

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The educational significance of eliciting students' implicit theories of intelligence is well established with the majority of this work focussing on theories regarding entity and incremental beliefs. However, a second paradigm exists in the prototypical nature of intelligence for which to view implicit theories. This study purports to instigate an investigation into students' beliefs concerning intellectual behaviours through the lens of prototypical definitions within STEM education. To achieve this, the methodology designed by Sternberg et al. (J Pers Soc Psychol 41(1):37-55, 1981) was adopted with surveys being administered to students of technology education requiring participants to describe characteristics of intelligent behaviour. A factor analytic approach including exploratory factor analysis, confirmatory factor analysis and structural equation modelling was taken in analysing the data to determine the underlying constructs which the participants viewed as critical in their definition of intelligence. The findings of this study illustrate that students of technology education perceive intelligence to be multifaceted, comprising of three factors including social, general and technological competences. Implications for educational practice are discussed relative to these findings. While initially this study focuses on the domain of technology education, a mandate for further work in other disciplines is discussed.

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“…CFAs modeled the item clusters as oblique factors within each NEO-FFI domain separately and fixed their variances to unity for scaling purposes and freely estimated all item loadings, residuals, and factor covariances (cf. Byrne, 2005). I estimated models from polychoric correlation matrices, which approximate the continuous distributions underlying response scales involving ordinal categories (Olsson, 1979) and were suggested for use with the ordinal response scales of personality instruments (Panter, Swygert, Dahlstrom, & Tanaka, 1997).…”

Section: Overview Of Analysesmentioning

confidence: 99%

Bandwidth and Fidelity on the NEO-Five Factor Inventory: Replicability and Reliability of Item Cluster Subcomponents

Chapman

2007

Journal of Personality Assessment

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Many users of the NEO-Five Factor Inventory (NEO-FFI; Costa & McCrae, 1992) are unaware that Saucier (1998) developed item cluster subcomponents for each broad domain of the instrument similar to the facets of the Revised NEO Personality Inventory (Costa & McCrae, 1992). In this study, I examined the following: the replicability of the subcomponents in young adult university and middle-aged community samples; whether item keying accounted for additional covariance among items; subcomponent correlations with a measure of socially desirable responding; subcomponent reliabilities; and subcomponent discriminant validity with respect to age-relevant criterion items expected to reflect varying associations with broad and narrow traits. Confirmatory factor analyses revealed that all subcomponents were recoverable across samples and that the addition of method factors representing positive and negative item keying improved model fit. The subcomponents correlated no more with a measure of socially desirable responding than their parent domains and showed good average reliability. Correlations with criterion items suggested that subcomponents may prove useful in specifying which elements of NEO-FFI domains are more or less related to variables of interest. I discuss their use for enhancing the precision of findings obtained with NEO-FFI domain scores.Most researchers have agreed that personality traits can be measured in hierarchical tiers that vary in generality (Cattell & Krug, 1986;Costa & McCrae, 1997;Eysenck, 1998;Goldberg, 1990). Traits at higher levels of multistratum taxonomies are merely composites of more fine-grained specific traits. For example, within the Five Factor Model of personality (Costa & McCrae, 1997;Digman, 1990;Goldberg, 1990;John & Srivastava, 1999), the broad trait of Conscientiousness is composed of narrow attributes such as self-discipline, achievement orientation, and orderliness. The commonly used Revised NEO Personality Inventory (NEO-PI-R; Costa & McCrae, 1992) permits users to capture information about such higher order broad traits as well as the lower order, narrow traits that compose them (cf. Costa & McCrae, 1995).The 60-item NEO-Five Factor Inventory (NEO-FFI; Costa & McCrae, 1992) is a brief version of the NEO-PI-R designed to provide speedy and convenient measurement of the Five Factor Model domains; however, it does so by relinquishing information about the narrow traits that comprise each broad factor. To remedy this, Saucier (1998) derived item cluster subcomponents for the NEO-FFI that provided a more specific level of trait measurement. These subcomponents are somewhat similar, although not as specific, as the Copyright © 2007 facets of the full length NEO-PI-R and are listed in Table 1. In their development, these subcomponents evidenced strong average internal consistency comparable to NEO-PI-R facets (e.g., an average Cronbach's of .70 in a development sample and .66 in a crossvalidation sample compared to average NEO-PI-R facet of .70) and captured the majority (a...

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Factor Analytic Models: Viewing the Structure of an Assessment Instrument From Three Perspectives

Cited by 411 publications

References 49 publications

Variations in social contexts and their effect on adolescent inhalant use: A latent profile investigation

Variations in social contexts and their effect on adolescent inhalant use: A latent profile investigation

Implicit theories of intelligence in STEM education: perspectives through the lens of technology education students

Bandwidth and Fidelity on the NEO-Five Factor Inventory: Replicability and Reliability of Item Cluster Subcomponents

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