31s

• data: factual information as measurement or statistics used as basis for reasoning discussion or calculation.
• plagiarism: is presenting someone else work or ideas as your own with without their consent by incorporation it into your work without full acknowledgement.
• data analysis: a process of understanding data or known facts or assumptions
• bias: defined as any tendency which prevents unprejudiced consideration.
• intellectual honesty: is honesty in the acquisition analysis and transmision of ideas.
• data interpretation: the process of making sense of numerical that has been collected.
• conceptual framework: is an analytical tool that is used to get comprehensive understanding of a phenomenon.
• ratio: contains features of all three.
• nominal scale: non numeric categories that cannot be ranked or compared quantitatively.
• ordinal scale: exclusive categories that are exclusive and exhausive
• interval: a measurement scale where data is grouped into categories with orderly an equal
• mean: numerical average of a set of values
• median: midpoint of a set of numerical values
• frequency: the numbers of times a value is found.
• true: the result section oh the rp is where you report the finding of your study based upon the information in methodology
• false: the result section should simply state the findings with bias or interpretation
• true: in discussing your finding look toward the future but dont end with it
• true: in discussing your findings provide context and explain why people should care do not simply rehash your result.
• true: summary of findings must contain each specific question under statement of the problem and must be written first to be followed by the findings
• false: the finding should not be textual generalization that is a summary of the important data consisting of the text and numbers
• true: in writing findings point out differences and relationship and provide information about them
• true: in experimental studies findings are written by using text to introduce the tables and figure and guide the readers through key result
• false: in presenting quantitative findings the main point out to remember while presenting quantitative interview data is that the reader should not be bored
• true: qualitative findings mention key points and themes as they relate to the research question rather than reporting everything
• content analysis: this is ones of the most common methods to analze qualitative data it is used to analyzed documented information
• narrative analysis: this method is used to analyze content from various sources, such as interview respondents observation from the field
• framework analysis: this is more advance method that consist of several stages such as familiaraton or identifying a thematic framework
• discourse analysis: like narrative analysis, discourse analysis used to analyze interaction with people
• grounded theory: this refers to using qualitative data to explain why a certain phenomenon happened