Connolly and Doyle (1981) documented that, during the early childhood years, teacher ratings of child peer acceptance have concurrent and predictive validity, correlating with
observational assessments of peer relations and peer - nominations.
Separate HLM models were also run for each parenting behavior of interest (i.e., acceptance, behavioral control, and psychological control) and for questionnaire versus
observational assessments of parenting.
Summary: (To include comparison groups, outcomes, measures, notable limitations) Note: The study used microlevel
observational assessments of mother - child interactions in a three - year follow - up of the DuMont et al. (2008) study.
A multimethod, multi-informant, short - term longitudinal study was conducted to investigate the utility of including school - based
observational assessments of both form (i.e., physical and relational) and function (i.e., proactive and reactive) of aggressive behavior at school with a young sample during early childhood (132 children; M = 44.37 months; SD = 9.88).
Researchers concluded that because districts «do not have processes in place to address the possible biases in observational scores,» statistical adjustments might be made to offset said bias, as might external observers / raters be brought in to yield more «objective»
observational assessments of teachers.
KIPS: An Evidence - Based Tool for Assessing Parenting Strengths and Needs in Diverse Families (PDF - 344 KB) Comfort, Gordon, & Naples (2011) Infants & Young Children: An Interdisciplinary Journal of Early Childhood Intervention, 24 (1) Describes studies on and results of the Keys to Interactive Parenting Scale (KIPS),
an observational assessment of parenting quality, with 397 families.
The Keys to Interactive Parenting Scale (KIPS): A practical
observational assessment of parenting behavior.
For years, early childhood teachers have used
observational assessment of students» activities, including play, to generate unique insights into children's development over time, evaluate progress, and plan individualized, intentional learning experiences.
Observational assessment of family functioning at mealtime in preschool children with cystic fibrosis
Not exact matches
Observed Climate Changes The many new or improved
observational data sets that became available in time for the 2007 IPCC report allowed a more comprehensive
assessment of changes than was possible in earlier reports.
But the year's worth
of data that has arrived from Titan has allowed him to check his studies against new
observational data and to improve his
assessment of the impact
of data uncertainties.
This is an
observational study, so no firm conclusions can be drawn about cause and effect, added to which confining the
assessments to a period
of four years might have underestimated the true impact
of persistent distress, caution the researchers.
Limitations
of the study include its
observational nature and the self - reported diet
assessments.
The Parkinson's Progression Markers Initiative (PPMI) is a landmark
observational clinical study to comprehensively evaluate cohorts
of significant interest using advanced imaging, biologic sampling and clinical and behavioral
assessments to identify biomarkers
of Parkinson's disease progression.
The types
of data discussed include classroom and large - scale
assessments, early literacy testing, RTI data,
observational data, and program evaluations.
For example, many states have adopted the research - backed Teaching Strategies GOLD
assessment, which prompts teachers to collect
observational data ranging from children's physical and social - emotional development to their literacy and math skills.Do - Hong Kim, Richard G. Lambert, and Diane C. Burts, «Evidence
of the Validity
of Teaching Strategies GOLD ®
Assessment Tool for English Language Learners and Children with Disabilities,» Early Education and Development 24 (2013): 574 — 595, doi: 10.1080 / 10409289.2012.701500; Teaching Strategies, Teaching Strategies GOLD
Assessment System: A Technical Summary, 2013.
Constructed - Response and TE Items), Multiple Assessment Types (Benchmark, Formative, Interim / End -
of - Course Exams, Pretests / Posttests, Multi-Stage Computerized Adaptive Tests [MCAT], Screening and Progress Monitoring
Assessments,
Observational Assessments), Test Planning, Test Construction, Bulk / Class Calendar Scheduling, Online Testing Interface, Printing Capability, Test Scoring
The mCLASS mobile classroom
assessment platform (from Wireless Generation) provides a variety
of tools to facilitate
observational assessment, with a focus on early reading.
Our
assessment also includes an
observational checklist covering characteristics
of effective learning such as confidence, curiosity and the ability to work with others, so important for success in the new school environment.
The teacher also conducts an
observational assessment with David using intuitive icons to record observations
of the student's problem - solving methods.
If interested, see the Review
of Article # 1 — the introduction to the special issue here; see the Review
of Article # 2 — on VAMs» measurement errors, issues with retroactive revisions, and (more) problems with using standardized tests in VAMs here; see the Review
of Article # 3 — on VAMs» potentials here; see the Review
of Article # 4 — on
observational systems» potentials here; see the Review
of Article # 5 — on teachers» perceptions
of observations and student growth here; see the Review
of Article (Essay) # 6 — on VAMs as tools for «egg - crate» schools here; see the Review
of Article (Commentary) # 7 — on VAMs situated in their appropriate ecologies here; and see the Review
of Article # 8, Part I — on a more research - based
assessment of VAMs» potentials here and Part II on «a modest solution» provided to us by Linda Darling - Hammond here.
Absent an appropriate tool for
observational assessment, there is no way
of gauging whether programs are actually offering quality experiences nor are there ways to improve program quality that focus on the actual experiences
of children and teachers» behavior in classrooms.
If interested, see the Review
of Article # 1 — the introduction to the special issue here; see the Review
of Article # 2 — on VAMs» measurement errors, issues with retroactive revisions, and (more) problems with using standardized tests in VAMs here; see the Review
of Article # 3 — on VAMs» potentials here; see the Review
of Article # 4 — on
observational systems» potentials here; see the Review
of Article # 5 — on teachers» perceptions
of observations and student growth here; see the Review
of Article (Essay) # 6 — on VAMs as tools for «egg - crate» schools here; and see the Review
of Article (Commentary) # 7 — on VAMs situated in their appropriate ecologies here; and see the Review
of Article # 8, Part I — on a more research - based
assessment of VAMs» potentials here.
The reception to my comments was especially cold... not one supporter, though a couple
of scientists did say I had a «lot
of guts» to stand up and say what I said before 140 L.A.s. I was (and still am) calling for the AR5 to be a more open scientific
assessment in which those
of us who are well - credentialed and have evidence for low climate sensitivity (
observational and theoretical) be given room to explain this.
There are limited
observational data to start with, insufficient testing
of climate model simulations
of extremes, and (so far) limited
assessment of model projections.
The disagreement arises from different
assessments of the value and importance
of particular classes
of evidence as well as disagreement about the appropriate logical framework for linking and assessing the evidence — my reasoning is weighted heavily in favor
of observational evidence and understanding
of natural internal variability
of the climate system, whereas the IPCC's reasoning is weighted heavily in favor
of climate model simulations and external forcing
of climate change.
The manuscript uses a simple energy budget equation (as employed e.g. by Gregory et al 2004, 2008, Otto et al 2013) to test the consistency between three recent «
assessments»
of radiative forcing and climate sensitivity (not really equilibrium climate sensitivity in the case
of observational studies).
The skeptics tend to pick out one aspect where there is perhaps not full agreement and fail to recognize that observations as well as models have shortcomings (witness the recent MSU [Microwave Sounding Unit] report's findings
of shortcomings in the
observational techniques, etc.)-- and that our best understanding must be based on a coherent integration
of the many, many studies into a comprehensive synthesis — and this is what the IPCC
assessments (and others) do.
I agree an observation / model mix is required (e.g. such as with the reanalyses), but the absence
of observational validation is what is a fundamental flaw in the use
of Type 4 downscaling for multi-decadal impact
assessments, as I have explained in detail in my posts.
By these measures, the CESM - LE produces a credible NAO, given the length
of the
observational record available for
assessment.
The
assessment of the best estimate and likely ranges in the grey bars includes the AOGCMs in the left part
of the figure, as well as results from a hierarchy
of independent models and
observational constraints.
Reliable
assessments of these contributing factors depend critically on reliable estimations
of natural climate variability, either from the
observational record or from coupled climate model simulations without anthropogenic forcings.
It should be emphasized that solving (the solvable) problems
of climate prediction (or, just as important, making a realistic
assessment of the ultimate limits to climate prediction set by the inherent uncertainties within the system) requires the deployment and long - term maintenance
of massively expensive
observational satellite and oceanographic programs.
Assessments of our relative confidence in climate projections from different models should ideally be based on a comprehensive set
of observational tests that would allow us to quantify model errors in simulating a wide variety
of climate statistics, including simulations
of the mean climate and variability and
of particular climate processes.
[14] If Brient & Schneider's
assessment of consistency with the
observational constraint had been substituted for Zhai et al.'s for the four models for which they differ radically, the resulting constrained ECS range would have a virtually identical median to that
of their CMIP5 model - ensemble.
The Zhai methods have more shortcomings than those used by Brient & Schneider for their very similar emergent constraint, and the radical difference for four CMIP5 models in the two studies»
assessment of consistency with the
observational constraint from seasonal variations is a major concern.
The State
of the UK Climate report is an annual publication which provides an accessible, authoritative and up - to - date
assessment of UK climate trends, variations and extremes based on the latest available climate quality
observational datasets.
[15] A crude revised central estimate is 3.4 °C, being the median ECS
of the 7 models (CGCM3.1, HadCM3, CanESM2, IPSL - CM5A, MRI - CGCM3, NCAR - CAM5, NorESM1 - M) whose seasonal variability lies within the uncertainty range for the
observational estimate, after substituting the Brient & Schneider consistency
assessment for the 4 models where if differs radically.
Given the time and cost
of performing in - depth interviews and
observational diagnostic
assessments of ASD, such as the Autism Diagnostic Interview - Revised (ADI - R) and Autism Diagnostic Observation Schedule (ADOS)(Lord et al. 1989, 1994), many studies have relied on questionnaires to measure autistic traits.
More research is needed to improve integration
of data from
observational systems, clinical interviews, child - report
assessments and measures
of child and family impairment.
On the basis
of his clinical history, as well as from
observational data and questionnaires (his standard score at KADI [27] was 114, indicating a high probability
of Asperger Syndrome), and the results
of the cognitive and social cognition (see below)
assessment, SC received a diagnosis
of Asperger Syndrome, according to the DSM IV - TR criteria [3](N.B..
Limitations
of the study include the lack
of follow - up
assessments, that termination
assessments were conducted only with cases that completed treatment, and that a substantial proportion
of treatment completers did not have complete
observational data (participants» entire families had to be present at both intake and termination
assessments for the participant to have complete
observational data).
Most
assessment methods fall into one
of three categories:
observational methods, personality inventories, or projective techniques.
First, the
observational assessment consisted
of trained coder ratings on the SCID Positive Affect
This webinar will describe a comprehensive
assessment and instruction solution that integrates The InvestiGator Club, a preschool curriculum that focuses on ten critical domains
of learning, and The Work Sampling System, an authentic
observational assessment that helps teachers individualize instruction.
For example, many states have adopted the research - backed Teaching Strategies GOLD
assessment, which prompts teachers to collect
observational data ranging from children's physical and social - emotional development to their literacy and math skills.Do - Hong Kim, Richard G. Lambert, and Diane C. Burts, «Evidence
of the Validity
of Teaching Strategies GOLD ®
Assessment Tool for English Language Learners and Children with Disabilities,» Early Education and Development 24 (2013): 574 — 595, doi: 10.1080 / 10409289.2012.701500; Teaching Strategies, Teaching Strategies GOLD
Assessment System: A Technical Summary, 2013.
Data collection methods include a mixture
of direct child
assessments,
observational in - person interviewers, videotaped parent - child interactions and parent surveys.
The workshop includes training on
observational skills for effective home visits and
assessment of families in the home environment.
More specifically, in the present study we collected (1) global self - report measures
of cognitive empathy (i.e., dispositional perspective taking) and affective empathy (i.e., dispositional empathic concern and personal distress); (2) spouses» interaction - based
assessment of cognitive empathy (i.e., situational perspective taking) and affective empathy (i.e., situational empathic concern and personal distress); and (3)
observational measures
of support - seeking and support provision behavior.
A similar
observational procedure to ours is found to provide reliable
assessments of social behaviors in group contexts among children in this age group [28].