Importantly, partial convergence of attachment representations using the two narrative - based methods could be shown;
categorical analysis indicated concordance between attachment to father assessed by the MCAST and secure base scripts assessed by the SBST, and continuous score analysis indicated association between secure base scripts with respect to father as assessed by the MCAST and secure base scripts assessed by SBST.
Not exact matches
What I shall do here is to consider the consequences of applying to the doctrine of God the results of the
analysis of the
categorical conditions of human love.
We compared socio - demographic and pregnancy - related characteristics among the three study groups using chi - square tests for
categorical variables,
analysis of variance (ANOVA) for normally distributed continuous variables and the nonparametric Kruskal - Wallis test for continuous variables that were not normally distributed.
The following covariates were considered in this
analysis: household size modeled as a
categorical variable (categories), marital status (categories), race and ethnicity (categories), maternal age modeled as a
categorical variable (categories), parity (categories), education (categories), employment status (categories), maternal occupation (categories), and postnatal WIC participation.
Further the manuscript reported using a Wilcoxon test for the
analysis of a
categorical outcome, yet reported T values in the tables of results [64].
They then tailored district support for improvement to the
analysis of schoolspecific needs, rather than relying primarily on centrally determined interventions based on
categorical differences among schools and their students (e.g., size, SES, ELL, facilities) or set performance cut - off levels.
Psychometric
analyses supporting instructional improvement and effectiveness by establishing reliability, validity, and forecasts of statewide test performance, evaluating growth (
Categorical Growth
Analysis) and measuring progress by placing test scores on a common scale.
state - of - the - art statistical
analyses and ongoing research including Item Response Theory
analyses placing scores on common scale to accurately measure growth, forecast state test performance, and provide
categorical growth
analysis
Reports - Assessments Dashboards (Teaching, School Performance), Multi-level Reporting (Student, Group, Class, School, District), Custom Filters, Instructional Recommendations (with links to resources), Test Scores, Standards Mastery (Intervention Alert and Development Profile), Test Sets (Multi-Test, Benchmark, Formative, Student Assessment History), Test Monitoring, Test Properties (Test Blueprints, Item
Analysis, Item Parameters), Progress Monitoring (
Categorical Growth, Student Growth and Achievement), Custom Test Reports, External Tests
However,
analysis of the budget proposals shows that all districts in the state do better with the «Classrooms and Kids» budget than they would with the Governor's, the House, or the alternative budget proposal that simply rolls up the
categorical funds for Best Practices and Performance (in fact, when you do just that, some districts will get less money next year than they did this year).
An
Analysis of Covariance (Anacova) is really a regression with different intercepts to accommodate
categorical variables.
As to the first stage of the
analysis, the cases demonstrate that the
categorical approach is unworkable and that a reviewing court can not in fact apply the
categorical approach without reference to the much - maligned four factors (or some variant thereon).
The Court's rhetoric suggests the
categorical approach, but a more close
analysis suggests that the standard of review
analysis factors, or some variant thereon, are the real motor.
Litigants and litigators are likely to become more confused in the future than they ever were by the standard of review
analysis: at least the
categorical approach's predecessor comprised four fixed factors.
In other words, while Justices LeBel and Cromwell purported to apply the
categorical approach, [60] the real drivers of the choice of standard of review were the much - maligned standard of review
analysis factors.
This passage was critical to the decision, yet note that the factors discussed are external to the
categorical approach, which the Court claims should be driving the
analysis of the reviewing court.
Although the majority of the Supreme Court of Canada granted Mr. Baldree's appeal and ordered a new trial, Fish J. confirmed, at paragraph 70 of the decision, that hearsay statements of this kind may be admissible if a principled
analysis shows that they meet the test for necessity and reliability, ``... I take care not to be understood to have proposed a
categorical rule for drug purchase calls.
The
categorical approach has been driving the
analyses.
These percentages of unique records (and thus the potentials for re-identification) are highly dependent on the number of variables (which must also be available in other databases which are identified to be considered in a disclosure risk
analysis), the
categorical breakdowns of those variables, and the level of geographic detail included.
Championed the role of an Internal Processing Auditor (IPA) Quality Control Coordinator reviewed the auditors findings and proposals and the
analyses prepared by the financial, facilities and public housing analysts to ensure all the recommendations were satisfied and supported by the appropriate documentation; Carried out environmental reviews on suggested activities; performed work in accordance with HUD Form 4128, researched property information and location details, FEMA maps, surrounding property characteristics, historical data to ensure all proposed activities were in compliance with environmental regulations; recognized non-
categorical and
categorical activities in order to determine the appropriate type of review, in accordance with HUD regulations; prepared official communication to public housing authorities.
Due to the ordinal and
categorical nature of the response options, reliability was assessed using polychoric correlation - based version of the reliability coefficients.45 These
analyses suggested satisfactory internal consistency for the SDQ total difficulties scale (α = 0.86) and for all subscales (α emotional problems = 0.82, conduct problems = 0.71, hyperactivity — inattention = 0.76, peer problems = 0.75 and prosocial behaviours = 0.77).
Initial
analyses examined potential differences in participant characteristics and demographics across intervention groups at baseline by using independent samples t tests for continuous variables and χ2
analyses for
categorical variables.
Accordingly, batch / plate was used as a
categorical covariate in all
analyses.
The primary parent was interviewed to determine family structure (eg, married, biological parents, single parent, adoptive parents); degree of contact the primary and secondary informants had with the child (eg, daily, episodic); relationship to the child (eg, biological parent, stepparent); number of children in the home; race (
categorical options, including other, were provided to the parent; this was done to meet federal reporting guidelines and, if sufficient variability was reported, to investigate race as a moderator variable in secondary
analyses); educational level and occupation of parental informants; and income level.
To examine the average association between, on the one hand, the
categorical variables mentioned above, and on the other, being SGA, we simply calculated ORs and 95 % CIs obtained from logistic regression
analyses.
Study Selection Criteria for studies for the meta -
analyses included published data on the association between 5 - HTTLPR genotype (SS, SL, or LL), number of stressful life events (0, 1, 2, ≥ 3) or equivalent, and a
categorical measure of depression defined by the Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) or the International Statistical Classification of Diseases, 10th Revision (ICD - 10) or use of a cut point to define depression from standardized rating scales.
Analyses used an
analysis of covariance (continuous measure) or logistic regression (
categorical measure) with the posttreatment measure as a covariate.
The descriptive
analysis of depressive symptoms and covariates were presented as a mean ± SD or as n (%) for continuous or
categorical data, respectively.
Latent Class
Analysis (LCA): A statistical method for identifying unmeasured class membership among subjects using
categorical and / or continuous observed variables.
: A lesson explaining the difference between a
categorical and statistical difference, an effect size, and a meta -
analysis.
In bivariate
analyses, we compared the distribution of parenting practices by using χ2 statistics for
categorical variables.
As a feasibility study, data
analysis will be mainly descriptive, as recommended by Lancaster39 and Lancaster et al. 40 All measures will be summarised by group across follow - up time with mean (SD) for normally distributed data, median (IQR) for skewed variable and frequency (percentage) for
categorical measures.
In bivariate
analyses, we compared the distribution of quality - of - care outcomes and parenting practices using χ2 statistics for
categorical variables and t statistics for continuous variables (eg, CBCL scores).
Because the latent variable mean scores for
categorical data in Mplus are standardized to zero, descriptive values (mean and standard deviation) were obtained from
analysis in SPSS Version 21.
We used the Minor Injuries Received subscale as well as the Minor Physical Aggression toward partner (e.g., «I pushed or shoved my partner») and by partner subscales (e.g., «My partner did this to me») to create the
categorical history of physical aggression variable that was used in the
analyses presented here.
As outlined above, the stratification factors will be included as factors in the ANCOVA models analysing the primary and secondary continuous outcomes and, depending on sample size, may also be included in a Mantel - Haenszel χ2
analysis of the post-treatment
categorical outcomes.
A similar
analysis was performed with depressive symptoms operationalized as a
categorical variable (i.e. the presence of a clinically significant level of depressive symptoms).
Although similar to latent class
analysis, LPA can accommodate continuous data whereas
categorical data are only appropriate in latent class
analysis (16).
Correspondence
analysis is a useful tool to uncover the relationships among
categorical variables
Because of skewness and the ordered
categorical nature of our variables, we estimated α within a structural equation model framework, which resulted in higher α coefficients.20 Our ω reliability
analyses yielded results consistent with previous studies reporting ω reliabilities for preschool and school - age SDQs.9, 16
Unadjusted group differences were tested by using
analysis of variance with Bonferroni posthoc tests (to adjust for multiple comparisons) for continuous variables and the χ2 test for
categorical variables.
As the
categorical approach often used to describe attachment (Gloger - Tippelt et al. 2002; Moss et al. 2005) has been criticized for not allowing the study of variations among individuals within categories while
analysis of continuous subscales reflecting features of the attachment representation may capture such variations (Stievenart et al. 2014; Cummings 2003), we also applied a continuous approach in addition to the
categorical approach, exploring the link between children's scripted secure base knowledge as measured by continuous scales in the MCAST and by the SBST.
Confirmatory factor
analyses (CFA) were conducted with robust weighted least squares estimator (WLSMV) because all the items were
categorical [17].
Analyses were conducted using linear regression for continuous outcomes and binary logistic regression for
categorical outcomes.