Sentences with phrase «use dichotomous»

and «How can you use a dichotomous key to explain it?»
In the form of both a printed book and an offline app for iPhones and Androids, the guide will include colorful images showing detailed characteristics and vegetative features of each grass, an easy - to - use dichotomous key, and information on each plant's history, forage value, fire resistance, and other details.
Using a dichotomous key like the ones listed in the «More to explore» section, you can narrow down your specimen to the family, genus or species level!
Using those counts, we created a dichotomous variable based on whether the moving party had more experience, and we used that dichotomous variable in our analysis.
We used dichotomous indicators of limited social participation in four logistic regression models: never sees friends, friends never call, never invited to activities, no extracurricular activities.
Given that the number of smoking mothers and the range in dosage was very low together with our findings that our regression models substantially improved when using a dichotomous (yes / no) measure of smoking, rather than a trimester or dosage - related measure, we decided to include the dichotomous measure.

Not exact matches

To appeal to the Quine's metaphor from his famous essay «Two Dogmas of Empiricism» (TDE 42 - 46), if the synthetic and the analytic are not dichotomous, but rather the respective periphery and center of a web of knowledge and beliefs, then our casual use of the word mass lies at the periphery, while our technical meaning lies near the center.
For dichotomous outcomes, we planned to pool events between groups across studies using risk ratios (RRs) and 95 % CIs.
The use of dichotomous variables did not alter significantly the strength or direction of the associated predictors.
This dual resource will meet the needs of land managers making economic decisions regarding livestock production and field treatments; university students in wildlife and range sciences conducting class exercises and field research; K - 12 educators during field botany excursions, teaching the use of dichotomous keys, and ecosystem studies; and recreationists engaged in nature study.
We used random effects methods to compare dichotomous outcomes (risk ratio for efficacy and odds ratio for safety); therefore estimates meta - analysed over multiple trials are average treatment effects.
But, in California, the current dichotomous debate is preventing more nuanced discussions of how and why the state can better use data to improve instruction.
Students will practice identifying both living and nonliving things through the use of different classes of dichotomous keys.
Because teachers were asked to provide dichotomous responses, in which checkmarks represented the use of the assessment type for each specific purpose, percentages were tabulated which represented the percentage of teachers affirmatively stating that they used a particular assessment category for a specific purpose.
The reason for the generally superior performance of the two - step model is that it better handles the use of an error - prone, dichotomous proxy for student disadvantage.
Pet bonding: Pet bonding was measured by the HRS using six dichotomous items adapted (by the HRS) from the Lexington Attachment to Pets Scale (Johnson, Garrity, & Stallones, 1992).
«My work uses photography and glass to explore the dichotomous nature of plastic bags: their beauty and imperfection, the ease in which they are acquired and the difficulty in which they are discarded,» says Brookman.
We used multilevel probit models based on this dichotomous variable.
97 Logit models are used when testing dichotomous outcomes — in this case, whether the motion for summary judgment was successful or not.
It is a 12 - item tool with dichotomous scoring method (0 -0-1-1), which determines the point prevalence of psychological distress or «caseness», with the most widely used threshold being ≥ 4.37 The scores, relating to symptoms over the previous «few weeks», range from 0 to 12, with 0 indicating no evidence of probable mental ill health, 1 — 3 indicating less than optimal mental health and 4 or more indicating probable mental ill health.
For dichotomous outcomes, we used ORs with 95 % CIs as the effect size metric when presenting the effects of the individual studies.
Third, 2 additional dichotomous variables, negotiating and ignoring, indicated whether nonphysical strategies were often or almost always used.
We used the Weighted Least Squares Mean Adjusted and Variance Adjusted (WLSMV) probit model primarily because the probit model output and diagnostics are richer than the corresponding ML logit model for dichotomous indicators.
Generalized regression models (logistic regression for dichotomous outcomes, linear regression for continuous outcomes) were used to estimate the overall adjusted effects of Healthy Steps.26, 27 These models included site variables to account for the fact that families within sites tend to respond more similarly than those at different sites.
Parents were asked whether their child used a seat belt without a booster seat most of the time, some of the time, or none of the time, and a dichotomous variable was created that indicated most of the time versus other.
In the analyses that follow, the maternal affective disorders variable was used as a dichotomous variable that represents whether a subject's mother ever had an affective disorder (yes or no).
Continuous and dichotomous outcomes for the five AEDI domains and the aggregate AEDI measure will be modelled separately using multilevel linear and logistic regression, respectively.
For meta - analyses of dichotomous outcomes that we include in the «Summary of findings» tables, we will express the results as absolute risks and will use high and low observed risks among the control groups as reference points.
For dichotomous (binary) data, we will use the odds ratio (OR) with a 95 % confidence interval (CI) to summarise results within each study.
For dichotomous outcomes, risk ratios (RRs) with 95 % CIs were used as the effect size metric.
If some primary studies report an outcome as a dichotomous measure and others use a continuous measure of the same construct, we will convert results for the former from an OR to a SMD, provided that we can assume the underlying continuous measure has approximately a normal or logistic distribution (otherwise we will perform two separate analyses).
Outcome data (relevant details on all primary and secondary outcome measures used, and summary data, including means, standard deviations (SDs), confidence intervals (CIs) and significance levels for continuous data and proportions for dichotomous data).
For dichotomous outcomes, differences were tested using χ2 analysis.
Because previous research (Gilligan et al., in press; Suitor et al., 2009) has shown that the perception of any favoritism, rather than the particular pattern (e.g., mother preferred the respondent or another child), predicted sibling tension, we used the children's responses to create a dichotomous variable: 0 = child does not perceive mother as preferring any particular offspring as her future caregiver and 1 = child perceives that mother prefers either him / herself or another child as her caregiver.
These analyses were computed using FACTOR version 8.02 [53] based on polychoric correlations due to the dichotomous nature of the items.
The majority of items were measured using a 6 - point Likert - type scale assessing the extent of agreement / disagreement with the statement, while two items represented a dichotomous format.
Non-linear slope factors for the dichotomous and continuous alcohol use variables provided a good fit the data.
Continuous variables were compared using t - tests, and dichotomous variables were compared using Chi - square tests.
The dichotomous variable of having a late versus earlier preterm infant was examined as an alternative to neonatal risk, but there were no significant differences in the findings, and thus, the continuous neonatal risk variable was used in the final models.
Because they presented bimodal distributions, the hospitalization and injury outcomes variables were analyzed as dichotomous variables with logistic regressions using the same hierarchical model design.
The SPSS macro «Interaction and simple slopes test with one continuous and one dichotomous variable» by Jason T. Newsom1 was used to generate the regression estimates, plots, and simple slopes analyses.
For dichotomous marijuana use, the first four loadings of the slope factor were fixed and the last was freely estimated (0, 1, 2, 3, 5.21 for W3 - W7, respectively).
Non-linear slope factors provided a good fit to the data for both the dichotomous and frequency marijuana use variables.
These models involved simultaneous estimation of dichotomous use (no / yes) and log transformed continuous use when use occurred.
The best of both worlds: Factor analysis of dichotomous data using item response theory and structural equation modeling
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