Impact Of Inference Research Articles

When you say nothing at all: Invoking inferences from suspect silence in the police station

Drawing on qualitative research with criminal justice professionals, this article explores the practical operation of provisions allowing for inferences to be drawn from silence at the point of police questioning in Ireland. The article examines (1) pre-interview disclosure and the timing of the invocation of inferences within the detention period; (2) the manner in which suspects are informed about the possible consequences of any failure to answer questions or mention certain facts; and, (3) the value and impact of inferences at trial. Findings include the need to reconsider the late disclosure approach adopted to police interrogation in Ireland, while maintaining separate inference interviews; difficulties with the current ‘ordinary language’ examples used to explain inference provisions to suspects; and, a notable distinction between the use of inferences in particular courts in the Irish criminal process.

Predictors of Reading Comprehension Among Struggling Readers Who Exhibit Differing Levels of Inattention and Hyperactivity

ABSTRACTThe purpose of this study was to investigate the impact of inference making, decoding, memory, and vocabulary on reading comprehension among 7th- through 12th-grade struggling readers with varying levels of inattention and hyperactivity. We categorized a group of 414 struggling readers into 3 groups based on results from factor mixture modeling: (a) low inattention + low hyperactivity, (b) high inattention + high hyperactivity, and (c) high inattention + low hyperactivity. Results indicated that vocabulary and inference making, but not decoding, predicted reading comprehension outcomes among all 3 groups of struggling readers. Working memory predicted reading comprehension among struggling readers in the low inattention + low hyperactivity and high inattention + high hyperactivity groups.

Response of several genotypes of faba bean by effect plant density

A field experiment has been accomplished during the winter season 2015-2016 at the research station of the college of agriculture-Field Crops-University of Anbar-Alternative location (previously the College of Agriculture-University of Baghdad) which is located in Abu Ghareeb, the longitude ⁰44 and latitude ⁰33. The field is designed according to the Randomized Complete Block Design (R.C.B.D.) at the arrangement of split plot dissident panels; with three Replicates. The effect in growth of three plant (Vicia faba L.) densities 55.555, 83.333, 166.66 a thousand plant ha-1 has been studied which is a total of five genotypes and Broad bean (Vicia faba L.) (local (Iraqi)), Spanish, Giza, Hammat and Nobari). Plant density has a significant effect on all of the growth traits and qualities of the plant. Therefore it has been recorded that the 166.66 plant ha-1, the growth average is 7.73 gm.m2 day-1, and a seed yield with 5.60 ton ha-1. As for the 55.555 plant ha-1 plant density, it has the best qualities such as the average of leaf area by 4096 cm2 plant-1, and active fertility ratio in flowers about 10.46%, the number of pods which is 13.09 pod plant-1, the weight of 100 seeds is 148.5 gm. In all of the studied characteristics, the genotypes varied significantly; as the Spanish genotype has the best average in quality, so it produced about 7.06 ton ha-1. The impact of inference between global studies was significant for most of the qualities if given plant density 55.55 plant ha-1 with genotype Spain's highest effective fertilization in flowering with 11.54 % and the number of cores in the plant 16017 pod. Plant while gave the plant density with genotype spain highest average yield growth rate of 8.93, so we recommend 8.55 ton ha-1 in the use of Spanish class with high densities.

The Impact of Inferences on Product Evaluations: Replication and Extension

The Impact of Inferences on Product Evaluations: Replication and Extension

The Impact of Inferences on Product Evaluations: Replication and Extension

The authors attempted to replicate and extend Huber and McCann's findings about the spontaneous occurrence of inferences between attributes in studies of product evaluations. Those findings provided support for the conclusion that inferential processes can distort the validity of the traditional additive model and results based on commonly used estimation procedures such as conjoint analysis. Using conflicting as well as supportive pairs of product attributes, the authors found no evidence of inferencing between attributes unless inferences were explicitly induced.