RESEARCH EXAM Flashcards

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
Q

one sample leads on to more of the same kind of sample.

A

SNOWBALL SAMPLING

26
Q

a tool used to collect, measure, and analyze data related to your
research interests.

A

RESESRCH INSTRUMENT

27
Q

Data collection instrument mostly used in normative
surveys

A

QUESTIONNAIRE

28
Q

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.

A

QUESTIONNAIRE

29
Q

GIVE ATLEAST 5 GUIDELINES IN MAKING A QUESTIONNAIRE

A
  • Make all the directions
    clear
  • Usecorrect grammar.
  • Avoid asking biased questions.
  • Objectify the responses.
  • Makeall questions unequivocal / undisputable
30
Q

TWO TYPES OF SAMPLING

A
  1. PROBABILITY SAMPLING
  2. NON-PROBABILITY SAMPLING
31
Q

4 EXAMPLES OF PROBABILITY SAMPLING

A
  1. SIMPLE RANDOM SAMPLING TECHNIQUE
  2. SYSTEMATIC SAMPLING
  3. STRATIFIED SAMPLING
  4. CLUSTER SAMPLING