practical research

• Observational research involves observing and recording behavior without manipulating variables.
• The research design is a plan that presents how the researcher intends to study an empirical question.
• The research design broadly encompasses the entire research process from the formulation of the research questions, the review of related literature, the development of the framework, and the selection of data gathering and analysis techniques.
• Quantitative Research Design emphasizes on collecting, organizing, and presenting the target population through one or more variables.
• Data collection for Quantitative Research Design may be accomplished through primary data gathering using surveys, interviews, and field observation.
• The main method of analysis used for Quantitative Research Design is DESCRIPTIVE STATISTICS.
• Descriptive Research Design is used to establish or explore relationships, or interdependence between two or more aspects.
• The main method of analysis for Descriptive Research Design is HYPOTHESIS-TESTING.
• Correlational Research Design measures the nature, degree, and direction of the relationships between two or more variables.
• The main method of analysis for Correlational Research Design is HYPOTHESIS-TESTING.
• Experimental Research Design is a design that is based on scientific activity, where a variable or group of variables are manipulated or controlled to know if a formulated hypothesis is valid or displays truthfulness.
• Experimental Research Design uses a random selection of participants, is free from bias and ensures objectivity of results, and is the best design to use when examining causal relationships.
• There are two types of experimental research: True Experimental and Quasi-Experimental.
• Quasi-Experimental design is prone to bias since the researcher purposely selects the participants, is incapable of determining cause and relationships, and is not recommended for research.
• The research design is a plan that presents how the researcher intends to study an empirical question.
• The research design broadly encompasses the entire research process from the formulation of the research questions, the review of related literature, the development of the framework, and the selection of data gathering and analysis techniques.
• Quantitative Research Design emphasizes on collecting, organizing, and presenting the target population through one or more variables.
• Data collection for Quantitative Research Design may be accomplished through primary data gathering using surveys, interviews, and field observation.
• The main method of analysis used for Quantitative Research Design is DESCRIPTIVE STATISTICS.
• Descriptive Research Design is used to establish or explore relationships, or interdependence between two or more aspects.
• The main method of analysis for Descriptive Research Design is HYPOTHESIS-TESTING.
• Correlational Research Design measures the nature, degree, and direction of the relationships between two or more variables.
• The main method of analysis for Correlational Research Design is HYPOTHESIS-TESTING.
• Experimental Research Design is a design that is based on scientific activity, where a variable or group of variables are manipulated or controlled to know if a formulated hypothesis is valid or displays truthfulness.
• Experimental Research Design uses a random selection of participants, is free from bias and ensures objectivity of results, and is the best design to use when examining causal relationships.
• There are two types of experimental research: True Experimental and Quasi-Experimental.
• Quasi-Experimental design is prone to bias since the researcher purposely selects the participants, is incapable of determining cause and relationships, and is not recommended for research.
• Contingency questions are a type of survey question.
• Sampling is a method of acquiring representatives of a certain population to gain and determine the parameters of the whole group.
• Population denotes a huge group of people from whom you can choose a sample.
• Sampling frame is the list of the members of the population to which the researcher wants to generalize or apply his or her findings about the sample.
• Sample unit denotes the individuals in the population.
• Sample size refers to how small or big the sample size is.
• Sampling technique falls under two (2) categories: probability sampling which is bias-free due to the use of randomizations and non-probability sampling which uses pre-selected samples and is prone to bias.
• Heterogeneity of the population can prevent sampling errors.
• Errors in using mathematical methods could yield negative and erroneous results that could alter the whole study.
• Covering a sample within a population would need a lot of time and money.
• Personnel from the Food and Nutrition Research Institute Department of Science and Technology (FNRI-DOST) have roughly five (5) years to gather data from all over the Philippines and get a huge chunk of the budget from the national government.
• Many government agencies need data from the Department of Health (DOH), the Department of Social Welfare and Development (DSWD), the National Economic and Development Authority (NEDA), and the Office of the President in Malacañang.
• Research Class - STI College San Jose del Monte uses probability sampling and non-probability sampling.