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Equilibrium > PR I > Flashcards

PR I Flashcards

1
Q

Basic Descriptors of Quantitative Research

A
  • Measurable
  • Statistical
  • Objective
  • Intervention
  • Experimental Group
  • Tables and Graph
  • Deductive
  • Generalizable
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2
Q

Basic Descriptor of Qualitative Research

A
  • Behavior
  • Narrative
  • Text-Based
  • Unstructured Observation
  • Inductive
  • Subjective
  • Small Sample
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3
Q

Characteristics of Quantitative Research

A
  • Objective
  • Clearly Defined Research Questions
  • Structured Research Instruments
  • Numerical Data
  • Large Sample Size
  • Replication
  • Future Outcomes
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4
Q

Strengths of Quantitative Research

A
  1. Numerical Data and Large Sample Size
  2. Utilizes Statistical Tools
  3. Well-Structured and Well-Defined Quantitative Research Questions
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5
Q

Weaknesses of Quantitative Research

A
  1. Large Sample Size - Needs to establish reliable generalization
  2. Expensive to reproduce
  3. Superficial
  4. Sensitive Issues and Information are difficult to gather using structured Research instruments
  5. Numerical Data are often times in complete
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6
Q

Refers to the overall strategy that a researcher chooses to integrate the different components of the study coherently and logically.

A

Research Design

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7
Q

Allows the Researcher to manipulate variables to identify casual relation or degree of effectiveness of the intervention.

A

Experimental

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8
Q

Observe the perception of responders. Describes relationship between two or more variables.

A

Non-Experimental

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9
Q

The simplest form of Research design. No control or comparison group.

Randomization X
Experimental Group X

A

Pre-Experimental

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10
Q

Employs experimental and control setups assigned randomly to test the extent or effectiveness of an intervention.

Randomization /
Experimental Group /

A

True-Experimental Group

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11
Q

Used to establish cause-and-effect relationships between variables.

Where intervention is applied, but no randomization occurs.

Randomization X
Experimental Group /

A

Quasi-Experimental

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12
Q

Aims to establish a correlation among variables.

A

Correlational

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13
Q

Used in gathering data from a large group of population which is used to identify the general perception of the population.

A

Survey

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14
Q

Compares and contrasts two populations considering as to how they perceive, assess, or view certain variable.

A

Comparative

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15
Q

AKA Casual-Comparative. Utilizes past observations and conclusions in deriving generalizations and predictions to explain why and how a certain scenario or phenomenon happens.

A

Ex-Post Facto

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16
Q

Describes the ‘Norm Level’ of certain attributes for a given behavior as observed by the population.

A

Normative

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17
Q

Utilizes different approaches and methodologies in establishing scale-matched approaches whereas data obtained from across disciplines can be integrated.

A

Methodological

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18
Q

Aims to assess the conduct, progress, implementation, and processes involved in the implementation of certain programs, events, or activities.

A

Evaluative

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19
Q

These are elements, attributes, characteristics, categories, and values that are being considered, measured, and given value.

  • They are manipulated in conducting Research.
A

Research Variables

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20
Q

In quantitative research, Researchers can (do what on variables?)

A
  1. Measure and describe
  2. Determine relationships
  3. Examine differences
  4. Experiment (cause-and-effect)
21
Q

Is a specific measurement of a variable.

A

Data

22
Q

______ data represents Amounts.

A

Quantitative

23
Q

______ data represents Groupings.

A

Categorical

24
Q

Also known as ‘Qualitative Variables.”

Sometimes recorded as numbers, but numbers represent categories rather than actual quantities.

A

Categorical Variables

25
Q

Can be arranged in order or rank.
Descending, or smallest to largest.

A

Ordinal

26
Q

Cannot be arranged in order. Does not take numerical values or measurement.

A

Nominal

27
Q

A type of Nominal Variable that can take exactly two values.

A

Dichotomous

28
Q

A type of Nominal variable that can take more than two values.

A

Polytomous

29
Q

When you collect quantitative data, the numbers you collect represent real amounts that can be added, subtracted, etc.

A

Numerical Variables

30
Q

Counts of individual items in a finite amount of time.

A

Discrete

31
Q

Can take an infinite value and can be divided into smaller increments.

A

Continuous

32
Q

A type of continuous data. Measures the differences in the measurement of values and provides interpretations based on the difference. Has no real Zero.

A

Interval

33
Q

A type of continuous data. Takes values and measurements which have an absolute (real) Zero.

A

Ratio

34
Q

Known to cause change, affect the outcome, and influence the other variables of the study. Often manipulated to test and identify the extent of its effects on the dependent variable.

Known as treatment or intervention.

A

Independent Variables

35
Q

Known as result, effect, or outcome variables that rely and are influenced by independent variables.

A

Dependent Variables

36
Q

Known to be constant and unchanged throughout the experiment. Greatly influences the result and outcome of the experiment.

A

Control Variable

37
Q

Known as the intermediate between the DV and IV as it is used to explain casual links between other variables.

A

Intervening Variables

38
Q

Known as existing elements or factors whose effect and influence are either neglected, ignored, or often time not measured. Their impacts are not directly observed in the conduct of the study.

A

Confounding Variables

39
Q

An organized and systematic method of finding answers to questions.

A

Research

40
Q

Steps of the Research Process

A
  1. Defining and Developing a Problem/Topic
  2. Finding Background Information about the Chosen Problem/Topic
  3. Planning a Research Design and Methods
  4. Gathering Necessary Data Using Specialized Tools/Instruments
  5. Presenting, Analyzing, and Interpreting Data
  6. Formulating Conclusions
  7. Defining a New Problem
41
Q

Known as the blueprint of the experiment.

A

Research Design

42
Q

Steps in Developing a Research Topic

A
  1. Choose a broad topic
  2. Do a preliminary research
  3. Define the problem
  4. Refine the question
43
Q

Topics to be avoided

A
  1. Controversial
  2. Highly Technical Subjects
  3. Hard-to-Investigate Subjects
  4. Too broad subjects
  5. Too narrow subjects
  6. Vague subjects
44
Q

Summarizes the main idea/s of your study.

A

Research Title

45
Q

Characteristics of a great Research Title

A
  1. Descriptive
  2. Direct
  3. Accurate
  4. Interesting
  5. Concise
  6. Appropriate
  7. Precise
  8. Unique
  9. Not Misleading
46
Q

The ‘Context of your Study.’ Inform the readers about your study. Justify the need for your study.

A

Background of the study

47
Q

Binomial Nomenclature

A

(Genus species)

48
Q

An under or unexplored area of a topic that requires further explanation.

A

Research Gap

49
Q

Background of the Study vs Review of Related Literature

A

Background of the Study - Introductory part of your paper. Establishing the importance of your study.

Review of Related Literature - This is more comprehensive and thoroughly discusses the outcomes mentioned in the background of the Research.

Equilibrium (4 decks)

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