Sentence examples for investigating item from inspiring English sources

Thirdly, and more importantly, this finding confirms the value of investigating item discrepancies through early exploratory psychometric evaluations of translated measures prior to large-scale, psychometric testing.

In a compelling study investigating item versus item plus source memory (Davachi et al., 2003), an area in the left perirhinal cortex predicted overall subsequent memory that was not sensitive to whether the source was subsequently remembered or not.

The aims were: to develop the ArmA – a self-report measure for the assessment of both active and passive function in the hemiparetic upper limb following rehabilitation interventions and to confirm face and content validity by investigating item relevance for professionals, patients and carers.

to develop the ArmA – a self-report measure for the assessment of both active and passive function in the hemiparetic upper limb following rehabilitation interventions and to confirm face and content validity by investigating item relevance for professionals, patients and carers.

In investigating item-ordering effects, the order of influence of the aspects of the consultation on the proximate confidence and trust item was observed to be similar to the order of influence of the aspects of care on the more distant satisfaction item, with the exception that 'giving you enough time' was ranked second (results not shown).

Nehm and Ha ([2011]) subsequently investigated item feature effects and discussed the influence of the item context.

The first task was designed to investigate item recognition and memory for item-spatial context associations whereas the second targeted item-item associations.

Hohensinn and Kubinger (2009) investigated item difficulty control by changing the response format in math items and found that the different response formats measure the same ability but bias the item difficulty.

This experiment was designed to determine the sensitivity of ERFs to familiarity, and thus to examine the functional leverage that is available to investigate item familiarity via magnetic means of indexing retrieval processing in real-time.

To investigate item position effects, researchers have proposed different approaches using logistic regression (e.g., Davey and Lee 2011; Pomplun and Ritchie 2004), multilevel IRT models based on the GLMM framework (e.g., Albano 2013; Li et al. 2012; Weirich et al. 2014), and test equating (e.g., Pommerich and Harris 2003; Meyers et al. 2009; Store 2013).

2. A parametric IRT model will be applied to investigate item difficulty and item discrimination.