Practical Research Reviewer 2024 PDF
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2024
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This document is a reviewer in practical research, covering various research designs, variables, and statistical tests, including examples such as comparative studies and correlational studies. It also includes a student performance table with scores for different subjects, which are used to analyze student performance and answer related research questions.
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SECOND QUARTER EXAMINATION REVIEWER IN PRACTICAL RESEARCH 2 Comparative Study - This research design involves comparing two or more samples of study subjects on one or more variables, often at a single point of time. Descriptive - non-experimental research design is the most suitable research desig...
SECOND QUARTER EXAMINATION REVIEWER IN PRACTICAL RESEARCH 2 Comparative Study - This research design involves comparing two or more samples of study subjects on one or more variables, often at a single point of time. Descriptive - non-experimental research design is the most suitable research design to determine the perception of the respondents in the implementation of a given program Experimental - It is the research design based on scientific activity in which a test or examination of a thing under a manipulated or controlled environment is done to determine the validity and truthfulness of such thing. Correlational - The research process or design which identifies the strength and direction of the relationship between variables, showing whether a positive or negative association exists among them. Purposive- A sampling procedure where the respondents were chosen based on their background knowledge or with great enthusiasm about research topic. Ordinal - A type of variable that represents categories and can be ordered. Population - A group of individuals who have the same characteristic. Ratio Scale - It involves the use of numbers to represent equal distances from a known “zero point”. Interval Scale - Involves the use of numbers to represent equal intervals in different segments on a continuum. Questionnaire - It is a paper containing series of questions formulated for an individual and independent answering by several respondents for obtaining statistical information. Survey - Is a data-gathering technique that makes you obtain facts or information about the subject or object of your research through the data gathering instruments of interview and questionnaire. Close ended questionnaire will yield a quantitative data Structured observation generates qualitative data To introduce a deliberate action or process to measure its effects on a population, system, or environment is the primary purpose of an intervention In experimental and quasi-experimental research To introduce and explain the relevance of the intervention to the study is the purpose of writing the background information in the research intervention process The procedures both groups will follow and what each group will experience should be included When describing the differences and similarities between the experimental and control groups To provide clear, concrete reasons for selecting specific procedures and their theoretical basis is essential to explain the basis of the procedures in the intervention process Null Hypothesis - It represents the traditional approach as it makes prediction that there is no relationship or significant difference between groups on a variable. According to Fraenkel (1994), 30 respondents are required for experimental studies? Independent Samples t-test - We can use this type of t-test when comparing the means of a continuous variable in two non-independent samples. ANOVA - is useful in comparing two, three or more means. Sample - A subgroup of the target population that the researcher plans to study for generalizing about the target population. Pie Chart - Which type of chart is typically used to show how parts of a whole compare to each other and to the entire whole? Lines, Dots, and Bars are example of a graph or chart component? Bivariate data is data called when it involves two variables Univariate analysis explores one variable and focuses on summarizing its characteristics, while bivariate analysis examines the relationship between two variables. Both univariate and bivariate data- may be required to use when a researcher wants to examine the average height of students in a school and also see if there’s a relationship between height and age. Analyze the graph below and try to answer the questions that follow. Student Performance Table Student Name Math Score Science Score English Score History Score Alice 85 78 92 88 Bob 90 82 85 80 Clara 75 80 88 84 Daniel 88 85 91 89 Emma 80 78 95 87 Which student has the highest average score across all subjects? In which subject does Bob perform the best, and how does his performance in that subject compare to the others? Which subject got the highest mean score? Which subject got the lowest mean score? Bivariate data- must be used if You are conducting a study to see if the number of hours students spend on social media affects their mental health scores. A study finds that as the number of hours spent on social media increases, students' mental health scores tend to decrease. This suggests, Negative relationship Pearson r - statistical technique is appropriate to use when finding relationship between categorical variables Spearman Rho – is the best statistical technique to use when the researchers aim to determine if there is a strong association between the grades of students in PR1 and their grades in PR2. Pearson Correlation - statistical tests is used to measure the relationship between two variables when the data is ordinal Conceptual - “It refers to the reality of what would happen if certain situations were satisfied.” The definition refers to what type of research implications? Conclusions - “It makes logical connections between the various parts of the arguments starting from the hypotheses.” It is also the part of the study which answers the stated research inquiry Research Questions - should be the guide of the researcher in presenting the conclusion of the study Implications of the Study -part of the research conclusion refers to the logical relation of the current findings and its link to the theory used in the study clear and simple language should BE used in writing your conclusion? A good conclusion should include: A summary of key findings, Recommendations or practical applications, Limitations of the study Conceptual and Theoretical Framework - parts of a research paper is NOT included in the concluding part of the research paper The main purpose of recommendations of your research study is to provide a beneficial guide to resolve certain issues that can possibly result in a beneficial outcome. "The researcher suggests that further research could explore..." is most appropriate phrase to use when writing recommendations? Recommendations for future research should focus on: Addressing unanswered questions or study limitations It is important to consider the audience when writing recommendations To ensure the recommendations are relevant and actionable for them “Recommendations should be prioritized based on their importance.” Is a false statement about recommendations.