PRACTICAL RESEARCH 2 QUANTITATIVE RESEARCH MURIEL GRACE G. VIERNEZA November 2019
QUANTITATIVE RESEARCH Strengths and Weaknesses
What are the strengths and weaknesses of quantitative research? What is the importance of quantitative research (across fields)? QUANTITATIVE RESEARCH
Instructions: Draw a tree. Imagine the tree bearing good fruits and defective fruits. On the left-side branches of the tree, write the strengths of a quantitative research? On the right side, write the weakness of a quantitative research? A TREE WITH GOOD AND DEFECTIVE FRUITS
STRENGTHS AND WEAKNESSES of Q U A N T I T A T IVE RESEARCH
Madrigal and McClain (2012), Quantitative Research strengths are: lies on making available descriptive data e.g. picture of a community situation affected by peace conflicts provide data that can be communicated in numeric form Quantitative Research
Madrigal and McClain (2012), Quantitative Research strengths are: can use statistical test in making declarations about a certain data: -preference trends; differences between groups; demographics Quantitative Research
Madrigal and McClain (2012), Quantitative Research weaknesses are: difficulty in interpretation (not valid and not reliable) “data deficiency” as a result of weak interpretation can “lead to critical errors in the design” Quantitative Research
Madrigal and McClain (2012), Quantitative Research weaknesses are: “only those with a firm grasp on how the data would be used & interpreted should conduct such a study” overreliance on the P-value Statistical significance – communicates to the researcher if the results are varied Effect size – expresses how much the results carry some weight (or if they make a difference) Quantitative Research
Strengths and Weaknesses of Quantitative Research Strengths Weaknesses Many kinds of information are difficult to obtain through structured data collection instruments (esp. sensitive topic) Many groups are sexual workers, drug users and such, are always difficult to reach, but the problems are often greater for data collection. Quantitative Research Study findings can be generalized to the population about which information is required. Samples of individuals, communities, or organizations can be selected to ensure that the results will be representative of the population being studied.
Strengths and Weaknesses of Quantitative Research Strengths Weaknesses Self-reported information obtained from questionnaires may be inaccurate or incomplete. There is no often no information on contextual factors to help interpret results or to explain variations in behavior between households with similar economic and demographic characteristics. Quantitative Research Structural factors that determine how inequalities (i.e. gender) are produced can be analyzed. Estimates of the magnitude and distribution of impacts can be obtained. Estimates of the costs and benefits of interventions can be obtained.
Strengths and Weaknesses of Quantitative Research Strengths Weaknesses Studies are expensive and time-consuming, and even preliminary results are usually not available for a long period of time. Research Quantitative Research Clear documentation can be provided regarding the content and application of the survey instruments so that the other researchers can access the validity of the findings.
Quantitative Research The Defining Features of the Different Types of Quantitative Research Type Defining Feature Survey Research Intended to acquire information from people concerning the predominance, distribution , and interrelations of variables within the identified group of people (Bryman 2008) The crossover from research issues to research questions is likely a result of reading literature pertinent to the subject.
Examples of Survey Research Voter preferences Consumer coping behavior Survey on sexual violence against women and girls in Quezon City Metro Manila survey of adolescence on health ASEAN business outlook survey 2016 Survey of ASEAN employers On skills and competitiveness
Quantitative Research The Defining Features of the Different Types of Quantitative Research Type Defining Feature Causal-comparative/ Quasi-experimental Research Endeavors to ascertain cause-effect relationships among variables Independent variable is identified but not manipulated Effects of the independent variable on the dependent variable are measured It does not randomly assign groups but rather use those that are naturally formed/pre-existing. The recognized control groups exposed to the treatment variable are compared to groups who are not
Examples of Quasi-experimental Research the effect of studying in Catholic schools on the moral value system of those who graduate from these schools the effect of good family upbringing to good performance in class the effect of belonging to a Christian Living organization on a student’s religiosity the effect of gender of exercising regularly to body fitness the effect of gender on college course choices
Quantitative Research The Defining Features of the Different Types of Quantitative Research Type Defining Feature Experimental Research Termed as “true experimentation”; “laboratory study” Applies the scientific method to prove “the cause-effect relationship among a group of variables that make up a study” Any study where an effort is made to identify and impose control over all other variables except one An independent variable which is manipulated to determine its effects on the dependent variables Subjects that are randomly assigned to experimental treatments rather than identified in naturally occurring groups
Examples of Experimental Research the effect of counseling and medical treatment on alcoholism the effect of support groups on smoking the effect of positive reinforcement on one’s attitude to excel in school the effect of peer counseling and support group on a student’s emotional condition the effect of a kind and supportive home room adviser on the students’ helpfulness