Effect of Self-Efficacy on Procrastination
Participants procrastination scores were obtained by summing all the items up to produce the final composite score (6 items reverse-scored). Specifically, item 1, 2, 4, 5, 6, and 10 were reverse-scored. Low scores indicate high academic procrastin...
Effect of Self-Efficacy on Procrastination proposal
The proposed study will examine the relationship between students self-efficacy beliefs and procrastination behavior of high school students. Self-efficacy is defined as individuals belief about their capabilities to produce designated levels of p...
Discussion Forum 12
In todays world, statistics plays an exclusively vital role in the field of research. As a matter of fact, statistical data helps in the collection, analysis as well as the presentation of data (Peat, 2001). It all boils down to the question, what...
Literature Evaluation Paper
Medical knowledge is increasingly dependent of theoretical studies and the findings are normally presented as well as synthesized with statistical methods. Therefore, it is paramount that a physician gets acquainted with the most widely used stati...
Heterogeneous Data Sources
This is a very important research study which is meant to evaluate the effects of learning from heterogeneous data sources. It is relevant to study this topic because there has been a problem of learning representation of human face (Basso et al, ...
Data Link Layer
The data link layer is the second layer of the seven layer of the Open System Interconnection (OSI) model of the computer networking.
Analytical Report
There are many types of balances, such as spring balances, beam balances, analytical balances, portable balances, and top balances.
Amazons SWOT Analysis Essay
The essay will analyze the SWOT analysis of Amazon to understand the strengths, weaknesses, opportunities and threats.
Immigration research paper
Immigration research paper about american immigrants history. The number of immigrants in the world has been consistently increasing, and it is clear that this is a phenomenon that is not only beneficial but one that should not be discouraged.
Random forest classifier analysis
Random Forest Classifier is model used to eliminate noise in the model data input. The model has the ability to find out spurious relationship between the inputs and the chosen target variable when a list of variables and dataset is keyed to it.