MKTG55

• Data Gathering in Fieldwork involves collecting all the information needed in the research through methods such as surveys, interviews, observations, experiments, and Google Forms.
• Google Forms is a survey administration software included as part of the free, web-based Google Docs Editors suite offered by Google.
• Google Form It allows users to create forms, surveys, and quizzes as well as to collaboratively edit and share the forms with other people.
• Short Answer questions in surveys allow respondents to write a short answer, such as names, email address, home address.
• Paragraph questions in surveys allow respondents to write longer answers, such as opinions, feedback, comments.
• Multiple Choice questions in surveys allow respondents to choose among limited options and are also allowed to only one among the choices.
• Checkboxes questions in surveys allow respondents to choose 1 or more answers among the given options.
• Drop-down questions in surveys are similar to multiple choice, except that the respondents will see the options once they click the field.
• Linear Scale questions in surveys collect information on a numerical scale and must start with either a 0 or a 1, and can go up to 10.
• Multiple-choice Grid questions in surveys are joined statements together, good for measuring a variable with different subfactors.
• Tick BoxGrid questions in surveys are like multiple-choice grid, but can choose 1 or more answers per row.
• Date And Time questions in surveys allow the respondents to answer dates and time.
• Data analysis in research is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making.
• Quantitative Data in research is information expressed in numbers and measurable quantities, such as survey responses and experimental data.
• Qualitative Data in research is descriptive data that cannot be easily measured or expressed numerically, involving observations, interviews, and focus groups.
• The sources of data in the study discusses specifically all sources of data (whether primary or secondary) that will be utilized.
• The appendices in the study include research instruments such as survey questionnaire, checklist, or interview guide.
• The sampling techniques in the study describes how the samples are selected, whether probability or non-probability sampling methods.
• Presents the problem in a schematic diagram.
• The research design describes the specific method used in the study, whether experimental or non-experimental, and identifies the independent, dependent, and control (if applicable) variables.
• The hypothesis is the statement of the hypothesis or hypotheses that will be tested in the study.
• The statistical treatment and analysis in the study discusses how the data are analyzed, presents statistical tools that measure the variables, and describes properly the statistical analysis and the reason for its use.
• The participants of the study describes the individuals or groups of individuals, communities, organizations, agencies, and/or institutions that will be involved as subjects in the study utilized as respondents of a survey or participants.
• The references in the study list all sources cited in the text, have a one-to-one match between the references cited in the report and the references listed in the reference section, and are listed alphabetically by author.
• The review of related literature is written and conducted for the last five to 10 years.
• The data to be gathered in the study lists different parameters or information that will be gathered including the technique, instrument, or mathematical formula or equation needed to get the correct data.
• Conceptual Framework, organizes the variables into independent, intervening and dependent variables.
• The Review of Related Literature includes useful information about the questions under study such as principles, theories, concepts, and a summary of studies.
• Mixed Methods Data in research is a combination of quantitative and qualitative data to gain a comprehensive understanding of the research topic.
• Writing a Research Paper/Thesis involves several parts: Chapter I: Introduction, Chapter II: Review of Related Literature, Chapter III: Methodology, Chapter IV: Results and Discussion, and Chapter V: Summary, Conclusions, and Recommendation.
• Statistics mainly use graphical representation to show data.
• Chapter I of a Research Paper/Thesis including the Background of the Study is an opening Statements that provide important background information about the problem to be investigated.
• Chapter II of a Research Paper/Thesis should include the Review of Related Literature, which is a summary of the existing literature on the topic.
• The Limitation in a Research Paper/Thesis means limits to area coverage, sampling strategy or sample size, sensitivity and accuracy of instruments, etc.
• Chapter III of a Research Paper/Thesis should include the Methodology, which outlines the steps of the study.
• Data Visualization enhances the impact of research and facilitates decision-making processes.
• Data Privacy in Data Analysis involves protecting sensitive information and adhering to ethical guidelines in handling and sharing data.
• Data Visualization is a powerful tool that helps researchers explore and communicate their findings more effectively through charts, graphs, and infographics.
• Graphical Representation helps in sorting, visualizing, and presenting data in a clear manner through different types of graphs.
• Data Quality in Data Analysis involves ensuring the accuracy, completeness, and reliability of data by addressing missing values, outliers, and inconsistencies.