THE RUTTER SCALE FOR COMPLETION BY TEACHERS: FACTOR STRUCTURE AND RELATIONSHIPS WITH COGNITIVE ABILITIES AND FAMILY ADVERSITY FOR A SAMPLE OF NEW ZEALAND CHILDREN

1985 ◽  
Vol 26 (5) ◽  
pp. 727-739 ◽  
Author(s):  
Rob McGee ◽  
Sheila Williams ◽  
Jennifer Bradshaw ◽  
James L. Chapel ◽  
Arthur Robins ◽  
...  
1977 ◽  
Vol 41 (2) ◽  
pp. 453-454 ◽  
Author(s):  
H. Wayne Hogan

Based on the responses of 273 university and business school students residing in New Orleans, Louisiana, the reliability and factor structure of the Wilson-Patterson Conservatism Scale as used with American, English, Netherlands, New Zealand, and Australian subjects were examined. Similar mean-item scores and factor structures across samples suggest the cross-cultural usefulness of the scale as a measure for conservatism.


1970 ◽  
Vol 81 (2) ◽  
pp. 267-268 ◽  
Author(s):  
Christopher Bagley ◽  
Glenn D. Wilson ◽  
Roger Boshier

2020 ◽  
Vol 26 (6) ◽  
pp. 576-586 ◽  
Author(s):  
Andrew M. Kiselica ◽  
Troy A. Webber ◽  
Jared F. Benge

AbstractObjective:The goals of this study were to (1) specify the factor structure of the Uniform Dataset 3.0 neuropsychological battery (UDS3NB) in cognitively unimpaired older adults, (2) establish measurement invariance for this model, and (3) create a normative calculator for factor scores.Methods:Data from 2520 cognitively intact older adults were submitted to confirmatory factor analyses and invariance testing across sex, age, and education. Additionally, a subsample of this dataset was used to examine invariance over time using 1-year follow-up data (n = 1061). With the establishment of metric invariance of the UDS3NB measures, factor scores could be extracted uniformly for the entire normative sample. Finally, a calculator was created for deriving demographically adjusted factor scores.Results:A higher order model of cognition yielded the best fit to the data χ2(47) = 385.18, p < .001, comparative fit index = .962, Tucker-Lewis Index = .947, root mean square error of approximation = .054, and standardized root mean residual = .036. This model included a higher order general cognitive abilities factor, as well as lower order processing speed/executive, visual, attention, language, and memory factors. Age, sex, and education were significantly associated with factor score performance, evidencing a need for demographic correction when interpreting factor scores. A user-friendly Excel calculator was created to accomplish this goal and is available in the online supplementary materials.Conclusions:The UDS3NB is best characterized by a higher order factor structure. Factor scores demonstrate at least metric invariance across time and demographic groups. Methods for calculating these factors scores are provided.


2017 ◽  
Vol 29 (1) ◽  
pp. 93-102 ◽  
Author(s):  
Angelique C. van Rensburg ◽  
Linda C. Theron ◽  
Michael Ungar

Purpose: The factor structure of the Child and Youth Resilience Measure (CYRM-28) was originally established using a Canadian sample. This factor structure was not confirmed in a study with New Zealand youth. Given such variability, the current study investigated the factor structure of the CYRM-28 in a sample of Sesotho-speaking South African youth who participated in Pathways to Resilience Study. Method: Using latent variable modeling, we tested six varied models in two randomly selected samples ( n1 = 559; n2 = 578). Results: Fit statistics indicated that a three-factor variation of the New Zealand model, namely, individual, family/relational, and composite context, fitted best. The contextual composite synthesizes the CYRM-28 clusters that measure social skills, educational, spiritual, community, and cultural resources. Conclusion: The contextual composite reflects traditional African ways of being. Accordingly, understanding the factor structure of the CYRM-28 precedes practitioner capacity to promote resilience in an evidence-informed way.


2021 ◽  
Vol 9 (2) ◽  
pp. 30
Author(s):  
Kristina Meyer ◽  
Werner Sommer ◽  
Andrea Hildebrandt

The study of socio-cognitive abilities emerged from intelligence research, and their specificity remains controversial until today. In recent years, the psychometric structure of face cognition (FC)—a basic facet of socio-cognitive abilities—was extensively studied. In this review, we summarize and discuss the divergent psychometric structures of FC in easy and difficult tasks. While accuracy in difficult tasks was consistently shown to be face-specific, the evidence for easy tasks was inconsistent. The structure of response speed in easy tasks was mostly—but not always—unitary across object categories, including faces. Here, we compare studies to identify characteristics leading to face specificity in easy tasks. The following pattern emerges: in easy tasks, face specificity is found when modeling speed in a single task; however, when modeling speed across multiple, different easy tasks, only a unitary factor structure is reported. In difficult tasks, however, face specificity occurs in both single task approaches and task batteries. This suggests different cognitive mechanisms behind face specificity in easy and difficult tasks. In easy tasks, face specificity relies on isolated cognitive sub-processes such as face identity recognition. In difficult tasks, face-specific and task-independent cognitive processes are employed. We propose a descriptive model and argue for FC to be integrated into common taxonomies of intelligence.


PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247932
Author(s):  
John M. D. Thompson ◽  
Rebecca F. Slykerman ◽  
Clare R. Wall ◽  
Rinki Murphy ◽  
Edwin A. Mitchell ◽  
...  

Objective The objective of this study was to assess the validity of the Strengths and Difficulties Questionnaire in a cohort of New Zealand children followed from birth to the age of eleven. The study also aimed to assess the stability of the child data in relation to behavioural outcomes during this period. Methods Children in the Auckland Birthweight Collaborative Study were assessed at approximately 3½, 7 and 11 years of age. At all time-points parents completed the parent version of the Strengths and Difficulties Questionnaire, and the children themselves completed the self-report version at 11 years of age. The validity and internal consistency were assessed using exploratory factor analysis, Cronbach’s alpha, and McDonald’s Omega. Cross tabulations and Chi-square statistics were used to determine whether Total Difficulty scores, as per accepted cut-offs, remained stable over time (between normal and abnormal/borderline categories). Results The factor structure remained relatively consistent across all three time-points, though several questions did not load as per the originally published factor analysis at the earliest age. The internal consistency of the Strengths and Difficulties Questionnaire was good at all time-points and for parent- and child-completed versions. There was low agreement in the total scores between time points. Conclusions The factor analysis shows that the Strengths and Difficulties Questionnaire has a similar factor structure, particularly in older ages, to that previously published and shows good internal consistency. At the pre-school follow up, a larger than expected proportion of children were identified with high scores, particularly in the conduct sub-scale. Children’s behaviour changes over time, with only poor to moderate agreement between those identified as abnormal or borderline over the longitudinal follow up.


2021 ◽  
Author(s):  
◽  
Rania Za'rour

<p>This dissertation investigates the patterns of acquisition found among Arab migrants to Wellington for two stable variables: coronal stop deletion (CSD) and (ING). CSD is the alternation between retained and deleted final consonant clusters, i.e. /wɛst/ vs. /wɛs/ and (ING) is the realisation of the final nasal in unstressed word-final syllables i.e. /dɹaivɪŋ/ vs. /dɹaivɪn/. CSD is a phonological variable that is mainly conditioned by articulatory constraints while (ING) is a morpho-phonemic variable with syntactic conditioning as well.  An emerging trend in variationist sociolinguistics is to study variation in non-native varieties by analysing how far non-native speaker (NNS) patterns of variation replicate constraints on variation found among native speakers (NS) of a target variety.  This study applies variationist methods to investigate the following questions: 1. What are the linguistic and the non-linguistic constraints that condition variation in the production of (ING) and CSD among NS in the New Zealand Spoken English Database (NZSED) in Wellington? 2. What are the linguistic and the non-linguistic constraints that condition variation in the production of (ING) and CSD among Arab migrants in Wellington (AM)? 3. Based on the results for (1) and (2), is there any evidence for “transformation under transfer” (Meyerhoff, 2009a).  Interpretation of the results is done in line with the so-called “three lines of evidence”, and considers significant and non-significant constraints, constraint hierarchies and rank ordering of constraints (Tagliamonte & Temple, 2005).  I consider the proposition that AMs, of all ages, are prone to transformation under transfer of NS constraints on the variables CSD and (ING), mainly illustrating strong and weak transfer. It is expected that old and middle-aged AMs will have patterns different from those found among young AMs.  I also consider the possibility that articulatory constraints may be more readily transformed by AMs into ethnolectal marking, whereas grammatical constraints may be more likely to be strongly transferred by AMs. Old and middle-aged AMs seem to be more likely to display strong transfer of NS constraints, but they do not seem to be using variation in the L2 stylistically. By contrast, young AMs stylistically use articulatory constraints to convey important social indexicalities.  The results suggest that oold and middle-aged AMs with developing grammars are like NS children acquiring variation of their L1, in the sense that old and middle-aged AMs are sensitive, in both CSD and (ING), to dialect-specific constraints on variation as they display strong transfer of the highest ranked NS constraint, be it articulatory or grammatical in nature; they also seem to perceive NS frequencies of occurrence of variables.  Old and middle-aged AMs have an advantage over NS-children in their cognitive abilities that enable them to apply global constraints on variation by filtering their previous exposure to English, to replicate grammatical constraints of the L2 variables. Old and middle-aged AMs also seem to replicate the articulatory constraints that are perceptually salient, or that can host L1 transfer. They sometimes innovate articulatory constraints that are meaningful to them probably because of the influence of their L1.  Young AM, who have arrived in New Zealand at an age of six years or younger, would be expected to illustrate strong transfer for stable variables like CSD and (ING). The results, nevertheless, illustrate that although young AMs share the same significant constraints found among NS of NZSED, they have different rank orderings, internal hierarchies and frequency of variants. Young AM, unexpectedly, diverge from NS norms and exhibit weak transfer of NS articulatory constraints on CSD, while they show strong transfer of NS grammatical constraints for the variable (ING). I suggest that young AMs seem to be using articulatory constraints in the L2 stylistically, to convey important social indexicalities.  In addition, young AMs seem to hold an intermediate status between NS of NZSED and first-generation AM. Like old and middle-aged AMs, they replicate global-grammatical constraints on (ING) with an internal hierarchy that follows the Labovian nominal-verbal continuum, rather than the local, internal hierarchy. This suggests that (ING), as a morphophonemic variable with syntactic interfaces, has less room for the stylistic use of variation patterns as a reflection of identity marking. Articulatory constraints may be more subject to L1 transfer and these may become a marker of ethnicity among a Second-generation of migrants.</p>


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