RESEARCH EXAM Flashcards

(32 cards)

1
Q

the overall plan and scheme for conducting
the study

A

RESEARCH DESIGN

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2
Q

includes the research methods and procedures employed in the conduct of the study.

A

CHAPTER 3

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3
Q

ENUMERATE THE PARTS OF CHAPTER 3

A
  • METHOD OF RESEARCH
  • POPULATION, SAMPLE AND SAMPLING TECHNIQUE
  • DESCRIPTION OF RESPONDENTS
  • DATA GATHERING PROCEDURE
  • RESEARCH INSTRUMENT
  • STATISTICAL TREATMENT OF DATA
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4
Q

also known as longitudinal or repeatedmeasure
studies. They are also referred to as
interventions, because you do more than just
observe the subjects.

A

EXPERIMENTAL RESEARCH DESIGN

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5
Q

ENUMERATE THE 3 KINDS OF NON-EXPERIMENTAL RESEARCH DESIGN

A
  • DESCRIPTIVE RESEARCH DESIGN
  • CORRELATIONAL RESEARCH DESIGN
  • HISTORICAL RESEARCH DESIGN
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6
Q

describes the
status of an identified variable such as events,
people or subjects as they exist.

A

DESCRIPTIVE RESEARCH DESIGN

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7
Q

investigates
the direction and magnitude of relationships
among variables in a particular population.

A

CORRELATIONAL RESEARCH DESIGN

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8
Q

collects, verifies,
and synthesizes evidence from the past to establish facts that defend or refute your hypothesis.

A

HISTORICAL RESEARCH DESIGN

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9
Q

the entire group that you want to draw conclusions about (Bhandari, 2020).

A

POPULATION

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10
Q

the first step leading to the process of
collecting quantitative data

A

SAMPLE

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11
Q

the specific group that you will collect data from.

A

SAMPLE

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12
Q

What is Slovin’s Formula?

A

n= N/1+Ne²

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13
Q

What does N, n, and e stands for?

A

N = Population
n = Sample Size
e = Margin of Error

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14
Q

method of or process of selecting respondents or people to answer questions meant to yield data for a research study.

A

SAMPLING

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15
Q

4 REASONS FOR SAMPLING

A
  1. NECESSITY
  2. PRACTICALITY
  3. COST-EFFECTIVENESS
  4. MANAGEABILITY
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16
Q

a sampling
technique in which samples are obtained using
some objective chance mechanism, thus
involving randomization.

A

PROBABILITY SAMPLING

17
Q

drawing
randomly from a list of the population

A

SIMPLE RANDOM SAMPLING TECHNIQUE

18
Q

Taking every kth
element in the population as a sample.

A

SYSTEMATIC SAMPLING

19
Q

a process in which
certain subgroups, or strata, are selected for
the sample in the same proportion as they exist in the population.

A

STRATIFIED SAMPLING

20
Q

the selection of groups
or clusters of subjects rather than
individuals.

A

CLUSTER SAMPLING

21
Q

technique
when there is no way of estimating the probability
that each element has of being included

A

NON-PROBABILITY SAMPLING

22
Q

is selecting a
group of individuals who are conveniently
available for study.

A

CONVENIENCE SAMPLING

23
Q

the number of sample is
decided by the researcher and selection is
also made out of availability of the
respondents.

A

QUOTA SAMPLING

24
Q

using researcher’s
judgment to select a sample that they believe,
based on prior information

A

PURPOSIVE SAMPLING

25
one sample leads on to more of the same kind of sample.
SNOWBALL SAMPLING
26
a tool used to collect, measure, and analyze data related to your research interests.
RESESRCH INSTRUMENT
27
Data collection instrument mostly used in normative surveys
QUESTIONNAIRE
28
Systematically prepared form or document with a set of questions deliberately designed to elicit responses from respondents for the purpose of collecting data or information.
QUESTIONNAIRE
29
GIVE ATLEAST 5 GUIDELINES IN MAKING A QUESTIONNAIRE
- Make all the directions clear - Usecorrect grammar. - Avoid asking biased questions. - Objectify the responses. - Makeall questions unequivocal / undisputable
30
TWO TYPES OF SAMPLING
1. PROBABILITY SAMPLING 2. NON-PROBABILITY SAMPLING
31
4 EXAMPLES OF PROBABILITY SAMPLING
1. SIMPLE RANDOM SAMPLING TECHNIQUE 2. SYSTEMATIC SAMPLING 3. STRATIFIED SAMPLING 4. CLUSTER SAMPLING
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