Quantitative Research Designs PDF

Summary

This document provides an overview of different quantitative research designs. It explores various approaches, including surveys, correlational studies, and experimental methods. Examples, objectives, and methodology are presented for each design in the context of social science research.

Full Transcript

KINDS OF QUANTITATIVE RESEARCH DESIGNS SURVEY CORRELATIONAL CAUSAL-COMPARATIVE EXPERIMENTAL https://blog.udemy.com/types-of-quantitative-research/ OBJECTIVE 1. The learner demonstrate understanding of qua...

KINDS OF QUANTITATIVE RESEARCH DESIGNS SURVEY CORRELATIONAL CAUSAL-COMPARATIVE EXPERIMENTAL https://blog.udemy.com/types-of-quantitative-research/ OBJECTIVE 1. The learner demonstrate understanding of quantitative research designs (CS_RS12- IIa-c-1) DESCRIPTIVE RESEARCH seeks to describe the current status of an identified variable. is a type of research that aims to describe and explain the characteristics of a population or phenomenon. Unlike in experimental research, the researcher does not control or manipulate any of the variables, but only observes and measures them. A DESCRIPTION OF THE KINDS OF PHYSICAL ACTIVITIES THAT TYPICALLY OCCUR IN NURSING HOMES, AND HOW FREQUENTLY AEACH OCCURS DESCRIPTION OF THE TOBACCO USE HABITS OF TEENAGERS LEVEL OF STRESS OF GRADE VI ELEMENTARY PUPILS IN SURIGAO CITY EXAMPLE S: METHODS SURVEYS OBSERVATIONS CASE STUDIES CORRELATIONAL RESEARCH Correlational research tests for the relationships between two variables. Performing correlational research is done to establish what the effect of one on the other might be and how that affects the relationship. Correlational research is conducted in order to explain a noticed occurrence. EXAMPLES : The relationship between diet and anxiety The relationship between an aptitude test and success in an Algebra course EXAMPLE Title: THE EFFECTS OF EXERCISE ON ACADEMIC PERFORMANCE IN COLLEGE STUDENTS Research Question: Is there a relationship between the amount of exercise college students engaged in and their academic performance? Methodolo gy: 1. Participants: A sample of 200 college students aged 18- 25. Participants are randomly selected from a university's student population to ensure representativeness. Variables: Independent Variable (IV): The amount of exercise (measured in hours per week). This variable will be divided into three groups: no exercise, moderate exercise (3-6 hours per week), and frequent exercise (7-10 hours per week). Dependent Variable (DV): Academic performance (measured by GPA). Procedure: Participants are asked to provide their current GPA. Participants are grouped into the three categories based on their self-reported weekly exercise hours. Randomly assign participants to each exercise group. Control Variables: Age, gender, and prior academic performance will be controlled for to ensure the results are not influenced by these factors. Data Collection: Data on GPA and exercise hours will be collected from participants. The study will be conducted over a semester to account for any potential variations in academic performance due to course difficulty. Data Analysis: Perform a correlation analysis to examine the relationship between exercise hours and GPA within each group. Conduct ANOVA (Analysis of Variance) to compare the means of GPA among the three exercise groups. If a significant difference is found in the ANOVA, post- hoc tests will be performed to identify which groups differ from each other. Expected Outcomes: If the correlational analysis shows a positive relationship between exercise and GPA, and the ANOVA indicates a significant difference between the exercise groups, it suggests that exercise may have a positive impact on academic performance in college students. In correlational research the survey is conducted on a minimum of two groups. In most correlational research there is a level of manipulation involved with the specific variables being researched. CAUSAL-COMPARATIVE RESEARCH is a methodology used to identify cause-effect relationships between independent and dependent variables. Causal- comparative research involves ‘comparison.’ In causal- comparative research, the study of two or more groups is The effect of taking multivitamins on a students’ school absenteeism The effect of part-time employment on the achievement of high school students EXAMPLE Research Problem: Investigating the Impact of Early Childhood Nutrition on Adult Health Outcomes Research Question: Does the quality of nutrition during early childhood (ages 0-5) have a significant impact on adult health outcomes, such as obesity and chronic diseases? In this example, a causal-comparative study explores the relationship between early childhood nutrition and adult health outcomes. While the study cannot establish causation definitively due to its non-experimental nature, it aims to investigate whether differences in early nutrition are associated with variations in adult health conditions. Experimental Type Experimental research is one of the founding quantitative research methods. Experimental research is any research conducted with a scientific approach, where a set of variables are kept constant while the other set of variables are being measured as the subject of experiment. The simplest example of an experimental research is conducting a laboratory test. A true experimental research is considered to be successful only when the researcher confirms that a change in the dependent variable is solely due to the manipulation of the independent variable. OTHER EXAMPLES: (QUASI- EXPERIMENTAL RESEARCH) The effect of teaching with a cooperative group strategy or a traditional lecture approach on students’ achievement A comparison of the effect of personalized instruction vs. traditional instruction on computational skill By group: Write one school-based sample for each of the following: Descriptive; Correlational type and Causal-Comparative type of

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