Nature of Inquiry and Research Flashcards

1
Q

quantitative researhc

A

Objective way of processing and
analyzing phenomenon in the
surroundings through the collection of
numerical data using standardized
techniques, then applying statistical
methods to come up with a
conclusion.

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2
Q

characteristics of quantitative research

A

objective, clear, systematic, feasible, deals with numbers

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3
Q

strengths of quantitative research

A
  • objective - unbiased
  • empirical - verifying of observable data; ability to be observed and verified. Evidence is
    needed for validation, such as, references and related literature used, and the variables in the study.
  • data-driven - you get numerical results
  • structured
  • can be replicated - basis for methodology, resource, etc
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4
Q

WEAKNESSES OF QUANTITATIVE RESEARCH

A
  • Large sample
  • Generally expensive
  • Close-ended
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5
Q

CLASSIFICATION OF QUANTITATIVE RESEARCH

A

experimental and non-experimental

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6
Q

experimental research

A

▪Treats or deals with the object or subject of the research in a definite or exact manner and determines the extent of the effects or influence of the treatment on the object/ subject, then discovers the causes of
such effects.
- requires testing and experiment
- evaluates cause and effect rs
- true experimental, quasi-experimental, pre-experimental

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7
Q

true experimental research

A

main method of applying untested research to a subject. Under true experimental conditions, participants receive randomized assignments to different groups in the study such as control group and experimental group. This removes any potential for bias in creating study groups to provide more reliable results.

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8
Q

quasi-experimental research

A

Quasi-experimental research is a type of research design that resembles experimental research but is not true experimental research. It aims to establish a cause-and-effect relationship between an independent and dependent variable, but unlike a true experiment, it does not rely on random assignment. Instead, subjects are assigned to groups based on non-random criteria

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9
Q

pre-experimental research

A

Pre-experimental research is a type of research design that is a preliminary step to justify the presence of the researcher’s intervention. It is conducted even before the true experiment starts to determine the researchers’ intervention on a group of people. This approach helps give some sort of guarantee that the experiment can be a full-scale successful study.

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10
Q

non-experimental research

A

▪A way of finding out truths about a subject by describing the collected data about such subject and determining their relationships or connections with each other
- Incapable of establishing cause-effect relationship by ITSELF.
- trend analysis, survey, historical, observational, correlational, descriptive, comparative

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11
Q

survey research

A

▪Most used non-experimental research
▪A method of research that aims at knowing what a big
number of people think and feel about some sociological issues.
- laging naka-subgroup

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12
Q

historical research

A

Refers to the use of primary historical data to answer a question. Involves developing an understanding of the past through the examination and interpretation of
evidence.

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13
Q

observational research

A

Refers to several different types of non-experimental studies in which behavior is systematically observed and recorded. The goal of observational research is to describe a variable or set of variables (usually used in
Psychology).

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14
Q

correlational research

A

Researcher measures two variables, understands, and assesses the statistical relationship between them with no influence from any extraneous variable.
▪ The variables do not connote causal relationship.
▪ The goal is to see whether one variable may predict
other variables and their relationships.

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15
Q

descriptive research

A

Involves gathering data that describe events and then organizes, tabulates, depicts, and describes the data collection. Descriptive statistics tell what is, while nferential statistics try to determine cause and effect.

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16
Q

comparative research

A

Explanation of differences, and the explanation of similarities.

▪ The researcher has no control over the independent variable so relationship between the two maybe suggestive.

17
Q

types of variables

A

INDEPENDENT, DEPENDENT, MEDIATING, MODERATING, CONTROL

18
Q

INDEPENDENT VARIABLE

A

Manipulated in an experiment in order to
observe the effect on another variable

19
Q

DEPENDENT VARIABLE

A

Changes its value according to the value
of other elements present

20
Q

MEDIATING VARIABLE

A

Explains relationship between independent
and dependent.
- ano yung mechanism
- tells you how and why it takes place/affects
- solid line - kung iqquantify or prove statistically; broken - otherwise, theoretical lang

21
Q

moderating variable

A
  • Can change the strength and direction of relationship
    between variables.
  • indirectly affects iv and dv
  • new environment that may cause change
22
Q

scales of measurements

A
  • nominal
  • Ordinal
  • Interval
  • Ratio
23
Q

nominal data

A
  • Functions as a name or label
  • Also referred to as categorical or binary data
  • Do not have numeric meaning
    -Convenient way to label subjects
24
Q

ordinal data

A

Refers to data that has some meaningful order
▪ Many ordinal scales involve ranks
▪ Example: Social class, Stages of cancer, Grades (A,B,C,D,F)

25
Q

Interval Data

A

Has a meaningful order and has the quality that equal intervals between measurements represent equal changes in the quantity of
whatever is being measured
▪ Can only utilize addition and subtraction
▪ Examples: Temperature in Celsius, Temperature in Fahrenheit, Scores
on test as measure of knowledge, Aptitude test scores

26
Q

ratio data

A

Has all the qualities of interval data (natural order, equal intervals) plus a natural zero point
▪ Can utilize all mathematical operations
▪ Examples: Height, Weight, zone of inhibition, Amount
remaining in the bank account

27
Q
A