Sentences with phrase «item analysis data»

Item analysis data from MEAP, MME, and ACT results will help with the selection of these key concepts.

Not exact matches

After the questionnaires were returned and checked, the researchers applied statistical analysis to the data, especially relating to the section where the subjects rated the foods from «I would use this item very frequently» which received a rating of 5, to «Never used,» rating a 1.

Restaurant menu nutrition analysis includes recipe cards for all sub-recipes and menu items with spread sheet data for ease of incorporation into your website and literature.

The documentation ranges across the whole spectrum of drug development: Investigators» brochures provide information on all that is currently known about the medicine and so need periodic updating; accurate and concise protocols are required to ensure that trials are performed effectively; clinical trial reports (generally from phase II and III studies) present the information gathered from the trials; higher level documents provide summaries of efficacy and safety data from clinical trial programmes; expert reports provide critical interpretation of the results; and response documents clarify any points that are not clear to the regulatory agencies or provide additional analyses or supporting data for any items of concern.

Each new test item and the three grade - level assessments will be pilot - and field - tested with students, and a complete statistical analysis of the data will be used to ensure that the tests are valid measures of what students know about energy.

«We will continue to build on the data in the registry by recruiting more referral centres to support this work, recruiting more patients and cleaning the data ready for analysis and a full comprehensive report of all items collected.

During the data meeting, teachers pored over a form called an «item analysis template» — downloaded from the ANet web site — that forced them to think through the test questions that had given their kids the most grief.

The goal, she added, is for that kind of item analysis to become part of each teacher's routine as she becomes more comfortable with data.

Included in the PowerPoint: Macroeconomic Objectives (AS Level) a) Aggregate Demand (AD) and Aggregate Supply (AS) analysis - the shape and determinants of AD and AS curves; AD = C+I+G + (X-M)- the distinction between a movement along and a shift in AD and AS - the interaction of AD and AS and the determination of the level of output, prices and employment b) Inflation - the definition of inflation; degrees of inflation and the measurement of inflation; deflation and disinflation - the distinction between money values and real data - the cause of inflation (cost - push and demand - pull inflation)- the consequences of inflation c) Balance of payments - the components of the balance of payments accounts (using the IMF / OECD definition): current account; capital and financial account; balancing item - meaning of balance of payments equilibrium and disequilibrium - causes of balance of payments disequilibrium in each component of the accounts - consequences of balance of payments disequilibrium on domestic and external economy d) Exchange rates - definitions and measurement of exchange rates - nominal, real, trade - weighted exchange rates - the determination of exchange rates - floating, fixed, managed float - the factors underlying changes in exchange rates - the effects of changing exchange rates on the domestic and external economy using AD, Marshall - Lerner and J curve analysis - depreciation / appreciation - devaluation / revaluation e) The Terms of Trade - the measurement of the terms of trade - causes of the changes in the terms of trade - the impact of changes in the terms of trade f) Principles of Absolute and comparative advantage - the distinction between absolute and comparative advantage - free trade area, customs union, monetary union, full economic union - trade creation and trade diversion - the benefits of free trade, including the trading possibility curve g) Protectionism - the meaning of protectionism in the context of international trade - different methods of protection and their impact, for example, tariffs, import duties and quotas, export subsidies, embargoes, voluntary export restraints (VERs) and excessive administrative burdens («red tape»)- the arguments in favor of protectionism This PowerPoint is best used when using worksheets and activities to help reinforce the ideas talked about.

Even states do provide data in a form that allows for item analysis, some districts stop short of providing schools with strategies and tools needed to investigate underlying factors that might be causing identified problems.

Sarah also conducts research including analysis of assessment data using Item Response Theory and other statistical techniques.

Data reports usually provide an overall snapshot of how the students performed on specific standards, or whether students answered an individual question correctly, but they generally lack critical information about the wrong responses students chose or wrote (often referred to as «item analysis» reports).

The Naiku platform allows educators to create, share, import and deliver rich standards aligned quizzes and tests in any subject area, using graphics, multimedia clips and hyperlinks to query students with multiple item types.With automated scoring and built - in analysis tools, teachers can inform and differentiate instruction within the classroom, and data can be shared across the school and district to enhance best practices.

«The data analysis and research Meagan performed showed our states where our strengths and weaknesses were in our test items that we currently have in place,» Williams said, adding that she was impressed at Meagan's research expertise and skills at collaboration, organization, and data analysis.

Assessment data is available 48 hours after administration, and data is presented in an easy - to - use format that allows for quick and detailed analysis at the item, standard, student, teacher, grade, and school levels.

The data analysis also revealed significant negative differences between English learners and non-English learners on survey items of growth mindset and academic belonging (10 - 20 % differences).

• Understand how to analyze student work; • Understand how to analyze common assessments and other local student learning data sources; • Accurately identify a weakness in student understanding through analysis of item level data, student work, and triangulation of multiple data sources.

As per our quantitative analysis assignment writing experts, data gathering instruments contain items that solicit measurable characteristics of the population such as the age, number of children, educational status, economic status, etc..

Can't find a recent item on arctic sea ice but hoped it might be worth pointing out Peng et al Sensitivity Analysis of Arctic Sea Ice Extent Trends and Statistical Projections Using Satellite Data http://www.mdpi.com/2072-4292/10/2/230/htm «The most persistently probable curve - fit model from all the methods examined appears to be Gompertz, even if it is not the best of the subset for all analyzed periods.

A narrow economic approach can fail to account adequately for such items as ecosystem services and community value systems, which are sometimes not considered in economic analysis or undervalued by market prices, or for which data is insufficient.

The analytical part comprises load calculations, reliability analysis, measurements, and other items, and the practical part comprises detailed equipment inspections, review of SCADA data, review of maintenance and availability reports, and analysis of others» experiences with similar turbines.7

Chan, J. C. (1996) Estimating the Latent Trait from Likert - type Data: A Comparison of Factor - Analysis, Item Response Theory, and Multidimensional Scaling.

Highlights of Qualifications * 5 + years» project management, meeting planning, communications and administrative experience across the government, pharmaceutical and non-profit organizations * 3 + years» of Project Management Office (PMO) experience directly with executive, steering, subject matter experts, and project management teams to document project progress, meeting minutes, data analysis and action items through proje...

Researches and resolves issues for Walmart.com Executive Escalations * Review quantitative data analysis and solving problems * Investigate and collect data on executive complaints * Facilitate with other departments to correct and track issues * Identify and track incorrect listed items through report and data Perform and support daily duties and task related Walmart.com/Pharmacy/Photos Awareness and understanding of Help...

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.

Cases with any missing data in either analysis were excluded (SCQ analysis: 97 with 1/39, 52 with 2/39 and 112 with > 2/39 items missing; combined SCQ - ADHD analysis: 117 with 1/57, 55 with 2/57 and 115 with > 2/57 items missing), leaving a complete data set of N = 560 for the SCQ analysis, and N = 534 for the combined SCQ - ADHD analysis.

These 3 items are discussed in the data analysis section.

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.

Principal components analysis of item - level Q - Sort data yielded two state of mind (dismissing vs. free to evaluate and preoccupied vs. not) and two inferred experience (maternal and paternal) components that were associated with two domains of theoretical significance to attachment theory: interpersonal functioning in a romantic context and symptoms of psychopathology.

The briefer version of the PSC3 is broadly used, with > 40 published studies.23 These studies have shown that the PSC - 17 yields higher detection rates than pediatricians relying on clinical judgment alone24 and has risk rates comparable to those of the PSC - 35,3 semistructured interviews (Schedule for Affective Disorders and Schizophrenia for School - Age Children — Present and Lifetime Version), 25 and longer questionnaire measures.2 The PSC - 17 was derived from the PSC - 35 through an exploratory factor analysis conducted on data collected from the 1994 to 1999 Child Behavior Study (CBS), a nationally representative sample of > 20000 pediatric outpatients.3 In that study, the exploratory factor analysis suggested that it was possible to create a briefer version of the PSC with 17 of the original 35 items.

In conclusion, Exploratory Factor Analyses from data in Study 1 indicated support for five factors: social consequences; to include concerns regarding how parents, friends, classmates and teachers may view test performance; item types; to include items related to anxiety across item formats; and temporal aspects of anxiety; that is how stress is felt before, during, and after an exam.

For scales that consisted of more than three items, results of previously conducted factor analyses and reliability assessments (i.e., factor loadings, Cronbach's alpha after an item is deleted) were used to guide data reduction, in order to shorten scales to a maximum of three to five items.

The frequency of missing data was 5 % for Aboriginal and Torres Strait Islander status, with lower frequencies for all other items justifying a complete - case analysis.

Apart from the aim to be consistent with the approach used in earlier articles in this special issue [3, 4], item response modeling differs from SEM in that (i) it models the actual response data rather than the covariance matrix among the variables, and hence, (ii) it allows a finer grain of interpretation and fit analysis.

Factor and item analyses were accomplished using these data.

Results of a Rasch analysis of the data, indicate that the items work well together to measure the construct of work environment impact.

Statistical methods included (a) exploratory and confirmatory latent variable analyses of item data, (b) evaluation of the internal consistency of the latent dimensions, (c) evaluation of latent structure concordance between school year samples, and (d) preliminary evaluation of criterion - related validity.

Analyses were undertaken within a structural equation modelling framework that allowed for an ordinal treatment of well - being and personality items, and latent variable modelling of longitudinal data on emotional adjustment.

Once the 5 - items were removed from this scale and the data from these items dropped from the study further analysis indicates an increase in alpha scores of both the actual and expected measures of division of household labor.

The Brief Problem Checklist (BPC), 25 administered by telephone, is a 12 - item measure of internalizing (6 items; scores can range from 0 to 12), externalizing (6 items; score range, 0 - 12), and total problems (12 items; score range, 0 - 24), developed through application of item response theory and factor analysis to data from the Youth Self - Report and the Child Behavior Checklist (2 very widely used youth symptom measures).

Confirmatory factor analyses confirmed the hypothesized two - factor solution of the DAPCS, with a 16 items» version better fitting the data, for paternal as well as for maternal ratings.

Fit indices obtained through Confirmatory Factor Analysis indicated that the six - factor structure of the DERS fit the data adequately and that most items loaded strongly on their respective latent factor.

The best of both worlds: Factor analysis of dichotomous data using item response theory and structural equation modeling