PR 2| WEEK 1-2 Flashcards
It is a systematic, controlled, empirical, and critical investigation of hypothetical propositions
about the presumed relations among natural phenomena (Kerlinger,1973).
Research
systematic or step by step investigation of observable phenomena by gathering
quantifiable data (numbers) and performing statistical, mathematical or
computational techniques.
results are in the form of numbers which were gathered from selected respondents
through on line surveys, online polls, questionnaires, etc.
Quantitative Research
test of hypothesis
look at cause and effect
make predictions
To seek common, representative features
purpose
Large and randomly selected samples to produce generalizable results.
The respondents are randomly selected (Equal chance of each member of a population to
be selected as one of the respondents) using the appropriate sampling technique.
Ex. 185 respondents were randomly chosen to participate in the study
samples
Only the representative or part of the entire population will participate in the study
by determining the sample size.
Ex. Out of 348 populations in Sitio A, only 185 respondents were randomly
selected to represent the entire population in the conduct of the study. The sample
size was determined using the simple random technique (fishbowl method)
Criteria to identify respondents
Systematic- done in a step by step manner
The conduct of the study is organized.
Ex. Before performing the laboratory experiment, the researcher should see to it that
the problem is well defined, the hypothesis to be tested is clear, the related literature
is available and reliable, the materials needed are feasible, etc. so that smooth
conduct of the study will be achieved.
Design of method
Number and statistics-descriptive data are given corresponding numerical values.
Type of data collected
Structured response category approach
Choices are already given for the respondents to choose from like that of a Likert Scale.
Data collection approach
Quantitative data are collected based on precise measurements using
structured and validated data-collection instruments.
The data collected are in the form of numbers since textual descriptions were
given numerical values.
Form of data collected
Their biases are not known to the participants in the study, and participant
characteristics are hidden from the researcher.
The researcher is not aware of who will be the respondents of the study. He/ She is just
aware of the group and number of respondents who will participate but not with the
specific individuals.
Role of the researcher
Uninvolved observer, results are objective
Research independence
Generalizable findings that can be applied to other populations
Ex. The result of the study conducted to 185 respondents can be true to 348 total
members of the population
Results
Use of the same instruments to different subjects and venue
Ex. Research instrument used to determine the attitude of STEM students towards Math can
be used to ABM students to measure also their attitude towards Math.
Replicability
Based on direct experience or observation.
The data gathered are from actual conduct of the study, not from theory or logic.
Ex. Joy conducted a study on the attitude of G11 ABM students towards Math. Whatever
data will be gathered by Joy will be used in analyzing, finding the result, and drawing
conclusion.
Empirical
Unbiased
Ex. During the distribution and answering of the instrument, the researcher should not
influence the respondents with his/her personal feelings or opinions by convincing the
respondents to answer what the researcher wants
Objective
Variables being studied are within the scope of the study.
Ex. If Joy’s study is about the attitude of ABM students towards Math, she should focus only
on the attitude towards Math. No need to include other variables like difficulties
encountered, academic performance and others.
Controlled
Utilize proven analytical procedures.
Ex. In analyzing the data gathered by Joy in her study, she can use appropriate statistical
tools like mean, or standard deviation in order to come up with the correct result/answer to
the research questions.
Analytical
Done in an orderly manner.
Ex. In conducting research, Joy followed correct and reliable procedure to come up with
precise and accurate result
Logical/Systematic
Exhibits careful and precise judgment
Ex. After thorough analysis of data gathered, Joy came up with the result of the study. She
drew conclusion and made some recommendations based on the results and not from theory.
Critical
Research starts with a problem and ends in a problem.
Ex. At the beginning, Joy came up with a research gap/ problem that she wanted to find
solution. After conducting the experiment, finding the result, drawing conclusion, and
making some recommendations, another problem arises that needed to be solved.
Cyclical
1. It can be REPLICATED or repeated in other contexts.
Conducting a previous study to the present with the same methodology but
with different subjects or respondents”
2. It provides findings that are GENERALIZABLE to large population.
The results do not only represent the samples but also the population at a larger
scale.
3. It can establish CAUSALITY more conclusively.
It looks at the connections between variables (independent and dependent) and
establishes unquestionable cause and effect relationships.
Independent variable- cause variable/being manipulated
Dependent variable- effect variable/ being measured
4. It can MAKE PREDICTIONS based on numerical, quantifiable data.
It can create forecasts based on the data gathered expressed in numbers
and not from a theory.
Data analysis using statistical software is faster.
Analysis of data can be done by using computer software such as SPSS or
PASW.
Data-gathering techniques are typically less demanding compared with
those in qualitative research.
Data gathering can be done simultaneously to the selected respondents of
the study. Common quantitative methods in data collection are used
like telephone interviews, online surveys, etc.
5. It has a LOW DEGREE OF SUBJECTIVITY.
Respondents are randomly selected to avoid bias. The researcher
should remain neutral as possible and distanced from what he/she studies so
findings depend on the nature of what was studied rather than on the
personality, belief and values of the researcher.
- Its VALIDITY AND RELIABILITY CAN BE MEASURED.
STRENGTHS of Quantitative Research
1.It cannot adequately provide in-depth information necessary for describing
and explaining a complex phenomenon.
Since the questionnaire and responses are structured or given already, no
further explanation is required to justify the chosen answer of the respondent.
2. It lacks the ability to provide a comprehensive textual description of human
experiences.
Quantitative research focuses on collected data and findings that are in the form
of numbers about a specific phenomenon from potential respondents.
3.Numerical data may be insufficient in analyzing intangible factors, such as gender
roles, socioeconomic status, and social norms of a given population.
Numbers are not enough to analyze some factors especially those intangible or
those which cannot be touched like feelings or emotions.
4. It has less flexibility in terms of study design
5.Responses of participants are strictly limited to what has been asked. These
responses may not be extensive in some cases.
Responses are based only on what is provided in the questionnaire.
6.Self-reported data may not be very accurate as respondents may have the tendency
to underestimate or overestimate their skills and behavior during self-assessment
tasks.
The manner of gauging or appraising themselves honestly and accurately is
hampered due to personal reasons. Thus, respondents should be informed of the
high degree of confidentiality of the information and the importance of the
information they divulged.
WEAKNESSES of Quantitative Research