RD2 (3rd Quarter) Flashcards

1
Q

Chapter 1 (BACKGROUND OF THE STUDY):
(7)

A

Introduction
Statement of the Problem
Theoretical/Conceptual Framework
Hypothesis
Scope and Limitation
Significance of the Study
Definition of terms

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2
Q

What is the study about?

A

Introduction

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3
Q

Discusses:
- Research gap
- What your study is about
- Why you want to take up the study

A

Introduction

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4
Q

Introduction must be at least how many pages?

A

2-3 pages

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5
Q

Should contain:
- 1 General Statement
- Multiple specific problems/objectives

A

Statement of the Problem

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6
Q

The purpose of this in research study is to identify the gap knowledge or the issue to be addressed.

A

Statement of the Problem

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7
Q

Based on a theory

A

Theoretical

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8
Q

Based on your own concept/plan for the study

A

Conceptual

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9
Q

Should be related to your study

A

Theoretical

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10
Q

Includes your Independent & Dependent variables

A

Conceptual

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11
Q
  • What you want to prove or disprove in your study
  • We utilize the Null Hypothesis - negating an idea
  • The affirmative statement is called Alternative Hypothesis
  • Difference denotes cause & effect (Descriptive)
  • Relationship (Correlational)
A

Hypothesis (Quantitative only)

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12
Q

Should inclde 5W’s and 1H

A

Scope and Limitation

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13
Q

Can either be: time constraint of researcher, budget of the researcher, availability of the respondent

A

Scope and Limitation

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14
Q

How many paragraph for scope?

A

1 paragraph

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15
Q

How many paragraph for limitation?

A

1 paragraph

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16
Q
  • What should we define?
  • Those words found in the:
    *title
    *variables used
    *variables found in the conceptual framework
    *regularly mentioned words all throughout the paper
A

Definition of terms

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17
Q

Limitation can either be

A

Time constraint of researcher
Budget of the researcher
Availability of the respondent

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18
Q

Tells the audience who will benefit from the study.
Should be presented in Hierarchical form (General to Specific)

A

Significance of the Study

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19
Q

Definition of terms has 2 Types:

A

Conceptual
Operational

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20
Q

those based on dictionary

A

Conceptual

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21
Q

how you use the word in your study

A

Operational

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22
Q
  • Choose whether Quantitative or Qualitative
  • Explain why it is an appropriate design for your study
  • Specify if Quanti or Quali
A

Researh design

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23
Q
  • Description of the area where you will conduct the study
  • May be selected: barangay level, city/municipal level, provincial level, regional level, nationwide, international
A

Research Locale

24
Q

the entire subject intended to be studied

A

Population (N)

25
Q

a portion of the population

A

Sample (n)

26
Q
  • Population (N)
  • Sample (n)
  • Probability sampling
  • non-probability sampling
A

Population, Sample & Sampling Technique

27
Q

Probability sampling (6 types):

A
  • Random sampling
  • Simple random
  • Systematic random
  • Stratified random
  • Multistage
  • Cluster
28
Q

Everyone has a chance to be selected as part of the sample

A

Random sampling

29
Q

Pick anyone from the selection

A

Simple random

30
Q

Every 5th, Everyone whose birthday is June

A

Systematic sampling

31
Q

Select 5 per year level

A

Stratified random

32
Q

Select 5 male per year level (2 variables)

A

Multistage

33
Q

Group 30% Male, 70% Female, then conduct simple random sampling per cluster

A

Cluster

34
Q

Non-probability sampling (4 types):

A
  • Convenience
  • Purposive
  • Quota
  • Snowball
35
Q

Whoever is available

A

Convenience

36
Q

With criteria. There should be at least 3 criteria.

A

Purposive

37
Q

100 people aged 20-30

A

Quota

38
Q

By referral

A

Snowball

39
Q
  • Survey questionnaire (tool)
  • 4 point likert scale
A

Quantitative

40
Q

Interview
* Open ended
* Structured
* Semi-structured (Guide questions)
* Unstructured (1 Grand tour questions)

A

Qualitative

41
Q

The process of collecting and
analyzing numerical data. It can be
used to find patterns and averages,
make predictions, test causal
relationships, and generalize results
to wider populations.

A

Quantitative Research

42
Q

Characteristics of Quantitative Research (8)

A
  1. Larger sample size
  2. Objective
  3. Visual result presentation
  4. Faster data analysis
  5. Generalized data
  6. Fast data collection
  7. Reliable data
  8. Replication
43
Q

Data is numerical, which makes presentation through graphs, charts and tables possible and for better conveyance and interpretation.

A

VISUAL RESULT PRESENTATION

43
Q

To obtain more meaningful statistical result, the data must come from a larger sample size.

A

LARGER SAMPLE SIZE

43
Q

Data gathering and analysis of results
are done accurately, objectively, and are unaffected
by the researcher’s intuition and personal guesses.

A

OBJECTIVE

44
Q

The use of a statistical tools give way for a less time- consuming data analysis.

A

FASTER DATA ANALYSIS

45
Q

Data taken from a sample
can be applied to the population if the sampling is
done accordingly, ie. sufficient size and random
samples were taken.

A

GENERALIZED DATA

45
Q

Depending on the type of data needed, collection can be quick and easy. Quantitative research uses standardized research instruments that allow the researcher to collect data from a larger sample size efficiently.

A

FAST DATA COLLECTION

46
Q

Data is taken and analyzed
objectively from the sample representative of
the population, making it more credible and
reliable for policymaking and decision
making.

A

RELIABLE DATA

47
Q

The Quantitative method can
be repeated to verify findings enhancing its
validity, free from false or immature
conclusions.

A

REPLICATION

48
Q

Kinds of Quantitative Research (4)

A

Descriptive Research
Correlational Research
Quasi-experimental Research
Experimental Research/True experimentation

49
Q

It seeks to describe the current status of an identified variable. These research projects are designed to provide systematic information about
phenomenon.

A

Descriptive Research

50
Q

It attempts to determine the
extent of a relationship between two or ore variables
using statistical data. In this type of design,
relationships between and among a number of facts
are sought and interpreted.

A

Correlational Research

51
Q

It attempts to establish cause effect relationships among the
variables. These types of design are very similar
to true experiments, but with some key
differences, An independent variable is identified
but not manipulated by the experimenter, and
effects of the independent variable on the
dependent variable are measured.

A

Quasi-experimental Research

52
Q

uses the scientific method to establish the cause effect relationship among group of variables that make up a study. A true experiment is any study
where an effort is made to identify and impose control over all other variables except one.

A

Experimental Research/True experimentation