The first aim was to establish the psychometric properties of a Swedish version of the CEBQ in preschoolers [69], examining the original 8 -
factor structure using confirmatory factor analysis (CFA)-- an analysis that has not been done before.
Most recently Palmieri and Smith [29] used confirmatory factor analysis to investigate three models of the SDQs
factor structure using data from a US sample of custodial grandmothers and found that the best representation of the latent structure was provided by a model which included the original five factors and an additional factor comprising a «positive construal» factor made up from the positively worded questions.
Not exact matches
Such risks, uncertainties and other
factors include, without limitation: (1) the effect of economic conditions in the industries and markets in which United Technologies and Rockwell Collins operate in the U.S. and globally and any changes therein, including financial market conditions, fluctuations in commodity prices, interest rates and foreign currency exchange rates, levels of end market demand in construction and in both the commercial and defense segments of the aerospace industry, levels of air travel, financial condition of commercial airlines, the impact of weather conditions and natural disasters and the financial condition of our customers and suppliers; (2) challenges in the development, production, delivery, support, performance and realization of the anticipated benefits of advanced technologies and new products and services; (3) the scope, nature, impact or timing of acquisition and divestiture or restructuring activity, including the pending acquisition of Rockwell Collins, including among other things integration of acquired businesses into United Technologies» existing businesses and realization of synergies and opportunities for growth and innovation; (4) future timing and levels of indebtedness, including indebtedness expected to be incurred by United Technologies in connection with the pending Rockwell Collins acquisition, and capital spending and research and development spending, including in connection with the pending Rockwell Collins acquisition; (5) future availability of credit and
factors that may affect such availability, including credit market conditions and our capital
structure; (6) the timing and scope of future repurchases of United Technologies» common stock, which may be suspended at any time due to various
factors, including market conditions and the level of other investing activities and
uses of cash, including in connection with the proposed acquisition of Rockwell; (7) delays and disruption in delivery of materials and services from suppliers; (8) company and customer - directed cost reduction efforts and restructuring costs and savings and other consequences thereof; (9) new business and investment opportunities; (10) our ability to realize the intended benefits of organizational changes; (11) the anticipated benefits of diversification and balance of operations across product lines, regions and industries; (12) the outcome of legal proceedings, investigations and other contingencies; (13) pension plan assumptions and future contributions; (14) the impact of the negotiation of collective bargaining agreements and labor disputes; (15) the effect of changes in political conditions in the U.S. and other countries in which United Technologies and Rockwell Collins operate, including the effect of changes in U.S. trade policies or the U.K.'s pending withdrawal from the EU, on general market conditions, global trade policies and currency exchange rates in the near term and beyond; (16) the effect of changes in tax (including U.S. tax reform enacted on December 22, 2017, which is commonly referred to as the Tax Cuts and Jobs Act of 2017), environmental, regulatory (including among other things import / export) and other laws and regulations in the U.S. and other countries in which United Technologies and Rockwell Collins operate; (17) the ability of United Technologies and Rockwell Collins to receive the required regulatory approvals (and the risk that such approvals may result in the imposition of conditions that could adversely affect the combined company or the expected benefits of the merger) and to satisfy the other conditions to the closing of the pending acquisition on a timely basis or at all; (18) the occurrence of events that may give rise to a right of one or both of United Technologies or Rockwell Collins to terminate the merger agreement, including in circumstances that might require Rockwell Collins to pay a termination fee of $ 695 million to United Technologies or $ 50 million of expense reimbursement; (19) negative effects of the announcement or the completion of the merger on the market price of United Technologies» and / or Rockwell Collins» common stock and / or on their respective financial performance; (20) risks related to Rockwell Collins and United Technologies being restricted in their operation of their businesses while the merger agreement is in effect; (21) risks relating to the value of the United Technologies» shares to be issued in connection with the pending Rockwell acquisition, significant merger costs and / or unknown liabilities; (22) risks associated with third party contracts containing consent and / or other provisions that may be triggered by the Rockwell merger agreement; (23) risks associated with merger - related litigation or appraisal proceedings; and (24) the ability of United Technologies and Rockwell Collins, or the combined company, to retain and hire key personnel.
Important
factors that may affect the Company's business and operations and that may cause actual results to differ materially from those in the forward - looking statements include, but are not limited to, operating in a highly competitive industry; changes in the retail landscape or the loss of key retail customers; the Company's ability to maintain, extend and expand its reputation and brand image; the impacts of the Company's international operations; the Company's ability to leverage its brand value; the Company's ability to predict, identify and interpret changes in consumer preferences and demand; the Company's ability to drive revenue growth in its key product categories, increase its market share, or add products; an impairment of the carrying value of goodwill or other indefinite - lived intangible assets; volatility in commodity, energy and other input costs; changes in the Company's management team or other key personnel; the Company's ability to realize the anticipated benefits from its cost savings initiatives; changes in relationships with significant customers and suppliers; the execution of the Company's international expansion strategy; tax law changes or interpretations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions in the United States and in various other nations in which we operate; the volatility of capital markets; increased pension, labor and people - related expenses; volatility in the market value of all or a portion of the derivatives we
use; exchange rate fluctuations; risks associated with information technology and systems, including service interruptions, misappropriation of data or breaches of security; the Company's ability to protect intellectual property rights; impacts of natural events in the locations in which we or the Company's customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; the Company's ownership
structure; the impact of future sales of its common stock in the public markets; the Company's ability to continue to pay a regular dividend; changes in laws and regulations; restatements of the Company's consolidated financial statements; and other
factors.
Managers can measure political risk
using quantitative and qualitative
factors describing the political system in a country; e.g., repetitive government / parliament elections before the end of their term, potential internal and external conflicts, ethnic
structure diversity, history of the country, non-democratic political system, weak legislative power of the parliament, corrupted authorities, etc..
Google
uses different
factors like the relevancy of your website's content, its
structure, and how many times your website is referenced by other sites, as well as other
factors to determine your ranking.
With twins, we usually have to
factor in prematurity, ideally we will not
use stretchy wraps or carriers or soft
structure carriers.
Studies of brain
structure and correlations with levels of a protein known as BDNF (brain - derived neurotrophic
factor) will also be performed
using these findings.
«Scientifically, she worked on a project that not only revealed an important role for a specific growth
factor (VEGF) in the physiology of an ocular
structure called the ciliary body but she also demonstrated that there might be unexpected and undesired side effects from a widely
used treatment for a variety of ocular diseases.
Variations in these
factors, according to the species of microalgae
used, has an impact both on the gross biochemical composition of a species and on the amino acid
structure and concentration, likewise on the disposition of lipids, the degree of unsaturation of the fatty acids or the vitamin content.
Therefore, we
used external
factors as the basis to propose a new salary
structure.
The current study differs from previous investigations in that — instead of relying only on participants» answers to survey questions about their
use of stimulants and other drugs, alcohol consumption and other
factors including quality of life — it relied on
structured interviews that have been validated for the diagnosis of neuropsychiatric disorders, including substance -
use disorders.
Molecular dynamics was
used to refine macromolecular
structures by incorporating the difference between the observed crystallographic
structure factor amplitude and that calculated from an assumed atomic model into the total energy of the system.
IMI participants could
use comparative approaches to reveal the
factors that underlie the
structure and function of microbiomes on local to global scales.
Results of regular monitoring of the species diversity and
structure of plant communities is
used by conservation biologists to help understand impacts of perturbations caused by humans and other environmental
factors on ecosystems worldwide.
All of the following specification points are covered for this topic and in brackets is the lesson that the point is covered in: Trilogy specification points and lessons: 4.5.1 - Homeostasis (B5.1 lesson) 4.5.3.2 - Control of blood glucose concentration (B5.1 lesson) 4.5.2.1 -
Structure and function (B5.2 lesson) Required practical 7 - plan and carry out an investigation into the effect of a
factor on human reaction time (B5.2 lesson) 4.5.3.1 - Human endocrine system (B5.6 lesson) 4.5.3.4 - Hormones in human reproduction (B5.10 lesson) 4.5.3.5 - Contraception (B5.11 lesson) 4.5.3.6 - The
use of hormones to treat infertility (HT only)(B5.12 lesson) 4.5.3.7 - Negative feedback (HT only)(B5.13 lesson)
Specification points covered are: Paper 2 Topic 1 (4.5 - homeostasis and response) 4.5.1 - Homeostasis (B5.1 lesson) 4.5.3.2 - Control of blood glucose concentration (B5.1 lesson) 4.5.2.1 -
Structure and function (B5.2 lesson) Required practical 7 - plan and carry out an investigation into the effect of a
factor on human reaction time (B5.2 lesson) 4.5.3.1 - Human endocrine system (B5.6 lesson) 4.5.3.4 - Hormones in human reproduction (B5.10 lesson) 4.5.3.5 - Contraception (B5.11 lesson) 4.5.3.6 - The
use of hormones to treat infertility (HT only)(B5.12 lesson) 4.5.3.7 - Negative feedback (HT only)(B5.13 lesson) Paper 2 topic 2 (4.6 - Inheritance, variation and evolution) 4.6.1.1 - sexual and asexual reproduction (B6.1 lesson) 4.6.1.2 - Meiosis (B6.1 lesson) 4.6.1.4 - DNA and the genome (B6.3 lesson) 4.6.1.6 - Genetic inheritance (B6.5 lesson) 4.6.1.7 - Inherited disorders (B6.6 lesson) 4.6.1.8 - Sex determination (B6.5 lesson) 4.6.2.1 - Variation (B6.9 lesson) 4.6.2.2 - Evolution (B6.10 lesson) 4.6.2.3 - Selective breeding (B6.11 lesson) 4.6.2.4 - Genetic engineering (B6.11 lesson) 4.6.3.4 - Evidence for evolution (B6.16 lesson) 4.6.3.5 - Fossils (B6.16 lesson) 4.6.3.6 - Extinction (B6.16 lesson) 4.6.3.7 - Resistant bacteria (B6.17 lesson) 4.6.4.1 - classification of living organisms (B6.18 lesson) Paper 2 topic 3 (4.7 - Ecology 4.7.1.1 - Communities (B7.1 lesson) 4.7.1.2 - Abiotic
factors (B7.1 lesson) 4.7.1.3 - Biotic
factors (B7.1 lesson) 4.7.1.4 — Adaptations (B7.2 lesson) 4.7.2.1 - Levels of organisation (feeding relationships + predator - prey cycles)(B7.3 lesson) 4.7.2.1 - Levels of organisation (required practical 9 - population sizes)(B7.4 lesson) 4.7.2.2 - How materials are cycled (B7.5 lesson) 4.7.3.1 - Biodiversity (B7.7 lesson) 4.7.3.6 - Maintaining Biodiversity (B7.7 lesson) 4.7.3.2 - Waste management (B7.9 lesson) 4.7.3.3 - Land
use (B7.9 lesson) 4.7.3.4 - Deforestation (B7.9 lesson) 4.7.3.5 - Global warming (B7.9 lesson)
These
factors include the congruence of sources of evidence with the prior beliefs of decision - makers, the content knowledge of individuals
using data to advocate alternative views, organizational
structures that inhibit or promote shared understanding of instructional matters, resource constraints, and the micropolitics of authority and power in decision - making processes.
This innovative partnership between the district, union, and community is implementing an entirely new teacher effectiveness paradigm that encompasses joint development of differentiated roles for teachers, evaluation that
uses data as a significant
factor and is
used to make critical human capital decisions, and implements a compensation
structure that rewards effective performance.
Regardless, «[w] hile th [is] study takes place in one school district, the findings may be of interest to districts and states that are
using or considering
using the Danielson Framework» (p. i), especially those that intend to
use this particular instrument for summative and sometimes consequential purposes, in that the Framework's
factor structure does not hold up, especially if to be
used for summative and consequential purposes, unless, possibly,
used as a generalized discriminator.
Academic language (e.g., analyze, contract,
factor,
structure, minor) is
used in classroom lessons, books, assignments, and tests, and students must become proficient in it to learn effectively in school and academic programs.
Key
factors in enhancing dynamics, efficiency, comfort and safety while on the move are the
use of carbon - fibre - reinforced plastic (CFRP) in the body
structure, engines from the BMW Group's new generation of power units, the plug - in hybrid system in the new BMW 740e, the Executive Drive Pro active chassis system, the Driving Experience Control switch with ADAPTIVE mode, and BMW Laserlight.
Also, given how many commodities are priced globally, and those have become a more important part of the cost
structure recently (though the effect is not that bad if one takes a long - term view... increased productivity means we
use less commodities to achieve the same ends as 40 years ago), the
factor share going to labor in developed countries is probably being squeezed a little.
Alternatively, the tiered - rate
structure, which starts at $.0035 per share, can be
used, but routing is
factored in, which can add or reduce the cost, depending on whether the client is removing or adding liquidity.
NeuroVoider's customization relies on both
factors: the
structure of our robot and the weapons we
use.
His big project right now is trying to incorporate Uber into the calculations — a far bigger
factor in New York City transit in 2017 than in 2014 — which involved reverse - engineering its fare
structure using customer receipts.
These stem from a diversity of site - specific conditions, including, but not limited to: local vegetation; presence of building
structures and contributions made by such
structures involving energy
use, heating and air conditioning, etc; exposure to winds, the wind velocities determined by climatic
factors and also whether certain wind directions are more favored than others by terrain or the presence or absence thereof to bodies of water; proximity to grass, asphalt, concrete or other material surfaces; the physical conditions of the CRS itself which include: the exact location of the temperature sensors within it, the degree of unimpeded flow of external air through the CRS, the character of the paint
used; the exact height of the instrument above the external surface (noting that when the ground is covered by 3 feet of snow, the temperature instrument is about 60 % closer to, or less than 2 feet, above an excellent radiating surface, much closer than it would be under snow - free conditions).
We thus
structured our analyses to focus on those
factors that are known to have a relationship to each element, tested their relationship in isolation, and then
used a multi-effect model where warranted.
The
factors which he did regard as relevant were: (i) the complete change in the
structure of the channel; (ii) the change in the route of the channel; (iii) the change in the nature of the flow; (iv) the fact that the channel was
used for the drainage of buildings and yards appurtenant to buildings; (v) the fact that many tributary conduits were themselves sewers properly so called; (vi) the description given to the channel in documents from 1951 onwards; (vii) the capacity of the channel; and (viii) the occasional presence of foul sewage in the channel.
Structural Design Engineers make sure manmade
structures can withstand the stress inflicted by human
use and environmental
factors.
Provide
structured sessions to target client crisis behavior, consulted with team to ensure DBT treatment criteria, and skillfully
used behavior chain analysis to identify the contributing
factors to client behavior Domestic Violence: Provide therapy to survivors of past and present domestic violence, male and female, and provide psycho education concerning power, control and the abuse cycle.
They explore
factors that make young people resilient and develop new strategies for fostering resiliency among youth, including
using strengths - based facilitation and implementing support
structures.
EFA methods were
used when CFA results suggested potential deviation from expected
factor structures among established scales.
The
factor structure of the WOCQ was assessed in three steps
using both confirmatory
factor analysis (CFA) and exploratory
factor analysis (EFA).
In the first step, CFA was
used to test whether the original eight -
factor structure based on the WOCQ manual (Folkman & Lazarus, 1988b) fit our data.
CFA methods
used maximum likelihood extraction methods with varimax rotation and were
used for all measures to examine the
factor structure.
We validated the sample construction and examined the relationship between ACE items and total ACE scores (dependent variables) and important independent variables
using polychoric
factor analyses (designed for binary data) of the ACE survey items»
factor structure.
Factor analyses of autistic traits in clinical ASD and community samples,
using a variety of ASD measurement tools, generally indicate that multiple
factors account for the observed covariance
structure of ASD symptoms and traits (Happé and Ronald 2008; Mandy and Skuse 2008).
This study
used factor analytic methods to determine the latent
structure underlying PLEs, problem behaviours and personal competencies in the general child population, and
used item response theory (IRT) to assess the psychometric properties of nine PLE items to determine which items best represented a latent psychotic - like construct (PSY).
Although it is not possible to demonstrate that family
structure is the cause of these differences, studies that have
used a variety of sophisticated statistical methods, including controls for genetic
factors, suggest that this is the case.
As a result, data from 176 rural older adult participants were
used to measure the Older Adult Service Usage Assessment's (OASUA) reliability, content and construct validity (convergent and discriminant), and
factor structure.
Exploratory
factor analysis (EFA)
using principal component extraction method with Varimax rotation, was conducted to determine the
factor structure of the items of the instrument (items with
factor loadings ≥ 40 were retained).
Although there are some criticisms of
using parceling techniques (see Little et al., 2002, for a review), showing that the one -
factor model fit worse than the data, with or without the
use of item parceling, would be stronger evidence for supporting the two -
factor structure of the PNS - J.
Afterward, confirmatory
factor analyses
using the 11 items of the PNS - J as indicators were performed to examine whether the two -
factor model — 4 items loaded on the Desire for
Structure factor and the other 7 items loaded on the Response to Lack of
Structure factor — fits the data better than the one -
factor model.
Many of the scales demonstrated weak psychometrics in at least one of the following ways: (a) lack of psychometric data [i.e., reliability and / or validity; e.g., HFQ, MASC, PBS, Social Adjustment Scale - Self - Report (SAS - SR) and all perceived self - esteem and self - concept scales], (b) items that fall on more than one subscale (e.g., CBCL - 1991 version), (c) low alpha coefficients (e.g., below.60) for some subscales, which calls into question the utility of
using these subscales in research and clinical work (e.g., HFQ, MMPI - A, CBCL - 1991 version, BASC, PSPCSAYC), (d) high correlations between subscales (e.g., PANAS - C), (e) lack of clarity regarding clinically - relevant cut - off scores, yielding high false positive and false negative rates (e.g., CES - D, CDI) and an inability to distinguish between minor (i.e., subclinical) and major (i.e., clinical) «cases» of a disorder (e.g., depression; CDI, BDI), (f) lack of correspondence between items and DSM criteria (e.g., CBCL - 1991 version, CDI, BDI, CES - D, (g) a
factor structure that lacks clarity across studies (e.g., PSPCSAYC, CASI; although the
factor structure is often difficult to assess in studies of pediatric populations, given the small sample sizes), (h) low inter-rater reliability for interview and observational methods (e.g., CGAS), (i) low correlations between respondents such as child, parent, teacher [e.g., BASC, PSPCSAYC, CSI, FSSC - R, SCARED, Connors Ratings Scales - Revised (CRS - R)-RSB-, (j) the inclusion of somatic or physical symptom items on mental health subscales (e.g., CBCL), which is a problem when conducting studies of children with pediatric physical conditions because physical symptoms may be a feature of the condition rather than an indicator of a mental health problem, (k) high correlations with measures of social desirability, which is particularly problematic for the self - related rating scales and for child - report scales more generally, and (l) content validity problems (e.g., the RCMAS is a measure of anxiety, but contains items that tap mood, attention, peer interactions, and impulsivity).
Nonetheless, data on the subject are relatively scarce and the instruments
used indicate differing schema
structures with 8 to 12 identified
factors.
However, most researchers
use the W - DEQ version B without examining its
factor structure because they consider that the psychometric
structure of version A and B is homogenous (fear, lack of anticipation, isolation and riskiness) due to the items being identical [1][11].
In the present study, the exploratory
factor analysis tests if the nineteen subscales is a valid
structure for upper elementary school students,
using the second sample (N = 561).
Several studies have replicated the PSC - 17's 3 -
factor structure by
using confirmatory
factor analysis (CFA) in moderate - sized samples, 26,27 and a number of studies28 — 37 have reported on the prevalence of risk by
using the overall and subscale scores.
TITLE:
Using Bifactor EFA, Bifactor CFA and Exploratory Structural Equation Modeling to Validate
Factor Structure of the Meaning in Life Questionnaire, Greek Version