Sentence examples for population item from inspiring English sources

Scores of less than 3 were obtained for items addressing the process of seeking the views and preferences of the target population (Item 5), and five of the eight items in the Rigour of Development domain (Items 7 10, 13).

In the DEMMI development sample (n = 89), 42 mobility items were tested (de Morton, Davidson, Keating. The development of the de Morton Mobility Index (DEMMI) in an older acute medical population: item reduction using the Rasch model (PART 1).

The data extracted included: age group and disease(s) of the target population, item generation methods, intended respondent, proportion of agreement between child and caregiver when applicable, number of questions, time frame, answering options (type of scales used), the presence of drawings and items assessed.

We recruited participants from the general population and followed standard methodology for quality of life instrument development (identification of population, item selection, n = 24; item reduction, n = 81; item presentation, n = 12; pretesting of questionnaire and initial validation, n = 2576; construct validation n = 128; and test-retest reliability n = 20).

However, since the purpose of the analyses was to compare trends between CTVBs, NS-SEC and the Townsend score, rather than make inferences about the population, item non-response is unlikely to be a threat to the validity of the study.

As in the model for the entire sample population, items specifically addressing the health benefits of MC were not significant independent predictors of MC intention.

In the wider Australian population items such as microwave ovens and dishwashers are now used to measure relative disadvantage and television ownership is a given [ 43].

The majority of all included studies received positive scores on items describing the study objectives, design and the study population (items from areas 1, 2 and 3), as well as the description of exposure and outcome variables (item 4).

In addition, the reporting of demographic and clinical characteristics/features of the study population (items 13 and 16) has affected the effect size of specificity, i.e. they have overestimated it, indicating also a spectrum bias [ 19].

Moreover, the Rasch model informs the applicability of scales across different populations (item bias) and provides a hierarchy of scale items [ 32].

Valid selection and representativeness of study populations (item 1), blind interpretation of results of the reference standard (item 8), and length of the period between index test and reference standard (item 9) were poorly described (that is, score unclear).