and conclusions of this very same article. Results: Data Collection Method In this article children are selected from schools across Liverpool. Once these children had been selected‚ height and weight measurements were calculated and the children began enduring the tests. There were different tests for height‚ weight‚ sex and age brackets for the children. Also‚ body mass index (BMI) was figured out for the children. This method of data collection is appropriate for this article due to the
Premium Obesity Qualitative research Body mass index
Research Basics • Definition o Process of applying creative thinking in a logical way o Acquisition & creation of knowledge informed by theory & practice • Misconceptions o Not simply gathering existing information o Not merely gathering new data o Not necessarily the production of something original o Not always involving a problem • Knowledge-driven o Explores o Speculates o Describes o Explains o Predicts o Evaluates • Purposes o Role expectation o Current information o Client
Premium Scientific method Research Qualitative research
1. INTRODUCTION: Employees are the basis of every organization. Recruiting and retaining knowledgeable people for the job is essential for an employer. But it works only if employee satisfaction is considered more important‚ if the employees are attracted and not leave the company. It is required to study the various factors to assess employee satisfaction level. Employee satisfaction has been defined as a function of perceived performance and expectations. It is one ’s feelings about his job. A
Premium Scientific method Questionnaire Employment
being ousted by their competitors. From both a technical perspective and a competitive advantage perspective‚ Information Systems is a definitive factor of the global business. Implementing Information Systems can save much time of sorting through data‚ statistics and information and move employees to
Premium Statistics Information systems Data analysis
rights to have their opinions considered (p. 177)‚ Carroll establishes the need for fresh research. The method is presented in detailed sub-sections‚ clarifying Carroll’s procedures in population sampled‚ interviews‚ play materials utilised and data analysis methodology‚ supporting project replication. Carroll considers the need for
Premium Data analysis Qualitative research Scientific method
CPSC 531 Assignment-1 Big Data Application in Retail By Usha Paniram Brahma CWID: 802173195 California State University‚ Fullerton Computer Science Department Professor: Dr. Chun-I Philip
Premium Business intelligence Data mining Data management
Research Procedure.......................... Research Design..................................... Research Instruments................................. Chapter IV.................................................. Presentation‚ Analysis and Interpretation of Data..............
Premium High school Data analysis MIMAROPA
In qualitative research‚ voice can be interpreted in different lights. It can mean the voice of the subject being studied- whether individual or collective‚ or even situational. It can also mean the voice of the researcher who in turn is voicing the data‚ the case‚ and the respondents. A third voice is the tacit voice of culture‚ which directs the flow of the research‚ both from the stand point of the researcher as well as the respondent. A fourth voice is the voice of self when it is the subject of
Premium Data analysis Scientific method Qualitative research
ultimately bankruptcy. Data collection It is important for APUS to collect useful data to have input to analyze challenges such as student retention. 2. What types of data did APUS tap into? What do you think are the main obstacles one would have to overcome when using data that comes from different domains and sources? APUS taps into Demographic data Registration data Course level date etc Types of data APUS deals with Structured date from database Unstructured data ( text‚ word files etc)
Premium Data analysis Decision support system
Splunk is a tool to analyze‚ search and visualize machine data. Today‚ with the increasing popularity of internet‚ IoT devices‚ wearable devices and multi-fold increase in computation and processing power‚ generation of machine data has increased exponentially. Such huge amount of machine data contains powerful insights which might have tremendous value. Many big data technologies and tools are being developed to extract benefit from such data‚ Splunk is one such tool. Founded in 2003‚ Splunk offers
Premium Data Data analysis Software architecture