Answer:Yes
Explanation:
Pooled data occur when there is a time series of different cross sections with each observations not necessarily from the same unit while Panel data is sample from the same units. The main difference between them is the "units". The units can be countries, households, schools or other things we are collating data on.
In pooled cross section, random samples from different time periods and from different units are taken e.g. we can take data on number of females and males in schools A, B and C in 2020 and schools X, Y and Z in 2023.
In pure panel data, we are using the same units e.g we can take data on genders in schools A, B and C in 2020 and collect data from the same schools in 2023. Therefore the main difference is just the units we observe.
<span>Up to ninety percent of businesses are using some type of lean processing. This allows them to maintain productivity with minimal staff and overhead. This has become more important as labor costs continue to rise.</span>
Answer:
The correct answer is letter "B": learner characteristics.
Explanation:
In psychology, there are three main learner's characteristics considered: personal characteristics (<em>demographic information from the learners such as age, gender, language or social-economic status</em>), academic characteristics (<em>type of education and qualifications</em>), and cognitive characteristics (<em>level of intellectual skills and type of operational memory</em>).
<em>These characteristics must be considered by trainers at the moment of creating their programs since they must include a variety of learning approaches suitable for each type of learner in an attempt to ensure they will understand the information the trainer wants to transmit.</em>