Res Flashcards

(47 cards)

1
Q

Researchers aim to maintain a
neutral stance , minimizing bias

A

Objectivity

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2
Q
  • Information is collected in
    numerical form, such as numbers , percentages
    ,and statistic
A

Numerical data

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3
Q

Involves a significant
number of participants to ensure representativeness

A

Large sample sizes

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4
Q

Data collected using standardized tools like
questionnaires, surveys, or experiments

A

Structured Research Instruments

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5
Q

Findings can often be applied
to larger populations beyond the study sample.

A

Generalizability

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6
Q
  • Involves formulating and
    testing hypotheses
A

Hypothesis Testing

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7
Q

Clearly defined variables are used to measure and quantify
phenomena

A

Measurable Variables

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8
Q

Research can be replicated to verify results due to standardized methods

A

Reliability

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9
Q

Data is analyzed using statistical methods to identify patterns and relationships

A

Statistical Analysis

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10
Q

Quantitative research can be used to predict future trends or outcomes

A

Predictive

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11
Q

A factor or property that a researcher measures,
controls and/or manipulates. It is also a logical set of
attributes, characteristics, numbers, or quantities that
can be measured or counted.

A

VARIABLES

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11
Q

It is also called a DATA ITEM

A

VARIABLES

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12
Q

7 Types of Classifications of Variables

A

Numerical Variables, Continuous Variables, Discrete Variables, Categorical Variables, Ordinal Variables, Nominal Variables, Dichotomous Variables

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13
Q

2 types of Continuous Variables

A

Interval Variables, Ratio Variables

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14
Q
  • Can be measured numerically.
  • Answer the questions “how many” or how much”
A

Numerical Variables

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15
Q

These variables can take on any value within a specific range, often represented by decimals.

A

Continuous Variables

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16
Q

are also called interval variables

A

Continuous Variables

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17
Q

These variables have equal
intervals between values, but there is no true zero
point.

A

Interval Variables

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18
Q

are a special type of continuous
variable.

A

Ratio Variables

19
Q

These variables have equal intervals between values and a true zero point, allowing for meaningful
ratios

A

Ratio Variables

20
Q

These variables can only take on specific, whole
number values.

A

Discrete Variables

21
Q

Variables with values that describe a quality or characteristic of data like “what type” or “which
category”

A

Categorical Variables

22
Q

These variables can take a value which can be logically
ordered.

A

Ordinal Variables

23
Q

These variables whose values cannot be ranked.

A

Nominal Variables

24
These variables Represents only two categories
Dichotomous Variables
25
2 types of Experimental Variables
Independent Variable, Dependent Variable
26
These variables are usually manipulated in an experiment.
Independent Variable
27
These variables are usually affected by the manipulation in the experiment.
Dependent Variable
28
Find the DEPENDENT and INDEPENDENT VARIABLE: An Experiment on the Methods of Teaching and Language Achievement among Elementary Pupils
Independent Variable: Methods of Teaching Dependent Variable: Language Achievement
29
2 types of- Non - Experimental Variables
Predictor Variable & Criterion Variable
30
These variables change the other variable/s in a non – experimental study
Predictor Variable
31
These variables are usually influenced by the predictor variables
Criterion Variable
32
Find the PREDICTOR and CRITERION VARIABLE: Competencies Of Teachers And Students Behavior In Selected Private Schools
Predictor: Competencies Of Teachers Criterion: Students Behavior
33
5 types of QUANTITATIVE RESEARCH DESIGNS
Descriptive, Correlational, Ex post facto, Quasi-experimental, experimental
34
To observe and report on a certain phenomena
Descriptive
35
To determine the nature of the relationship between variables without looking into the cause
Correlational
36
To infer the causes of a phenomena which has already occurred
Ex post facto
37
To establish cause –and – effect relationships
Quasi-experimental
38
To establish cause and effect relationships
Experimental
39
Elements of the general problem
Main Task, Major Variable, Participants, Setting, Coverage date
40
are questions of value. These are questions that are answerable by “yes” or “no”.
Non- research questions
41
are questions of value, opinions, or policy raised to gather data.
Research questions
42
4 TYPES OF RESEARCH QUESTIONS
Factor isolating questions (factor naming questions), Factor-relating questions, Situation-relating questions, Situation-producing questions
43
They isolate, categorize, describe, or name factors and situation.
Factor isolating questions (factor naming questions)
44
- Their goal is to determine the relationship among factors that have been identified. These are usually questions for a nonexperimental type of research.
Factor-relating questions
45
These questions usually yield hypotheses testing or experimental study designs in which the researcher manipulates the variables to see what will happen.
Situation-relating questions
46
These questions establish explicit goals for actions, develop plans or prescriptions to achieve goals , and specify the conditions under which these goals will be accomplished
Situation-producing questions