Binary measure

(Mus.) measure divisible by two or four; common time.

See also: Binary

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Two measures of cannabis use were derived from responses to a question that asked: "How many times, if any, have you used cannabis, marijuana or hash during the PAST TWELVE months?" A binary measure was constructed to reflect any cannabis use in the past year (1) versus no use (0).
A binary measure was created from response options of yes or no.
While the numbers of primary and secondary schools within each school size grouping were not sufficient to estimate separate ICC values adequately, subsequent analyses showed that the large ICC for perpetration of any type of bullying in smaller schools may be due to a high level of variability on this binary measure, particularly among the 28 smaller primary schools.
Rather than focus purely on a binary measure of compliance or non-compliance in the treatment group, the study looks at levels of compliance to treatment using a continuous measure of participation or fidelity.
Second, we created a binary measure reflecting whether or not respondents gave inflation expectations greater than 5%, retaining all responses.
The regret outcome was derived from the question "Looking back now to the first time you had sexual intercourse, which of these statements applies?" Possible responses were "I wish I'd waited longer before having sex," "I wish I'd not waited so long," "It was at about the right time," "It shouldn't have happened at all" and "Don't know." We created a binary measure, by contrasting "I wish I'd waited longer" and "It shouldn't have happened at all" (indicating regret) with the remaining responses.
The first regression uses a binary measure of whether or not the child was raised in a family with income below 60% of median family income (approximately the poorest 10% of households in our sample).
We present the continuous model as a point of comparison to a binary measure of illicit drug exposure which is presented below.
Questionnaires that are based on subjective rating scales rather than binary measures (eg, 'yes'/'no') (Figure 1) can better differentiate those attributes of a refractive correction or lifestyle situation that are deemed 'good/acceptable' from those that may be deemed problematic.
Table 2 displays the descriptive statistics for the Level 1 and Level 2 binary measures by wave of data collection.
In general, binary measures analyzed via GLM with binomial and log-link function tend to evaluate drastic, long lasting changes, while the subtleties of local variations which characterize the dynamic of the organism activity usually go undetected.
By analogy with other studies of self-selected status, such as Lee's (1978), we constructed two simple binary measures of drug use in the year prior to interview.