CAPSTONE

• Summarizing Scientific Literature


  The main point is to extract data from multiple sources to compile into a library of information that can benefit the current study.
• Abstract 


  A very brief summary of the study's background, result, and findings, and conclusion.
• Methodology


  An in-depth discussion of all the materials and methods used in the conduction of the scientific study
• Results and Discussions


  These section detail the findings as well as the interpretations of the results of the study
• Literature review should contain a summary of each paper you wish to cite
• In text citation, which are identifiers that the information is from another source, must also be added
• Plagiarism


  Refers to presenting words, ideas, and thoughts as your own even if they are not
• Wordiness


  All summaries should always be straight to the point
• Subjectivity and personal opinion

  A literature review should always be objective and free from any personal opinions
• APA FORMAT


  American Psychological Association. One of the most commonly used citation formats in academic writing.
• In-text citations


  Is a marker that is placed after the text was quoted or paraphrased.
• MLA Format


  Modern Language Association, is also one of the most commonly used citation formats.
• CMOS format


  Chicago Manual of Style. is another of the most used citations formats
• Bibliography


  Is a section of research that is typically located at the very end of the written work. Lists down all the references used
• Research Hypothesis


  Is a statement that reiterates the research questions tackled by the study.
• Conjectures


  Used in place of hypotheses in math research and become theorems when proven
• Qualities of a good research hypothesis

  Testability, Clarity, Variables involved, language used, and statement of the research expectations.
• Testability


  This means that the hypothesis is possible to assess by using the methodology that is provided in the research.
• Variables involved


  The studies test the relationship between a dependent variable and an independent variable
• Clarity of Language Used

  The research hypothesis must always be clear, precise, and straight to the point.
• Expectations


  Research hypothesis must give an idea of the expectations of the research.
• Null hypothesis


  Is an assumption that there is no significant effect or event
• The null hypothesis is represented as H0
• Alternative Hypothesis


  States that there is a significant difference in the parameters. Represented as H1
• Accepting or rejecting hypotheses often involves statistical analysis
• Dependent variables is the parameter of the research that is affected by the independent
• Independent variable is often the one that is modified or controlled by the researchers
• Experimentation


  One of the most notable ways of hypothesis testing
• Statistical Analysis


  Involves processing and analyzing the data collected in order to properly interpret your results.
• Significant differences


  This means that the difference between that data means of the groups are not because of random chance and can instead be attributed to a parameter that is caused by certain phenomena.
• Direct correlation


  means that the increasing values in one data set lead to an increase in values of the other date set,
• t-test


  can be used to see if there is a significant difference between the average data for two different group
• ANOVA


  Used for analyzing the differences between the means of data sets
• Correlation Analysis


  Involves comparing data sets based on if they are directly or inversely related and the strength of the relationship between the sets
• type 1 error


  refers to rejection of a null hypothesis that is true
• Type II error


  refers to a false null hypothesis that is not rejected
• Research Design


  General strategy or approach that the researchers wants to implement in answering the research question of the study Provides overall structure of a research project
• neutrality


  The projected result of the research design should be free from any form of bias and should remain neutral
• Reliability


  The research designs must be reliable
• Validity


  The design for data collection fits the type of data to be collected