4th Reviewer Flashcards

1
Q

This refers to the overall strategy that a
researcher chooses and constitutes the
blueprint for the collection, measurement, and
analysis of data

A

RESEARCH DESIGN

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2
Q

It introduces where the study is conducted
and the environment in which the data is
collected

A

SETTING OF THE STUDY

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3
Q

This is where the researchers explained where
the needed data in their research is gathered
and how they were gathered.

A

SOURCE OF DATA

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4
Q

This explains who the
participants/respondents were, their number,
and how they were selected

A

SUBJECT OF THE STUDY

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5
Q

This part discusses the process and outlines
the steps and specific methods used to
conduct the research study.

A

PROCEDURE OF THE STUDY

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6
Q
  • is the group of individuals who will
    actually participate in the research.
  • They are your ‘respondents’.
A

SAMPLE

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7
Q

an aggregate or a set of all units/cases
being studied having at least one common
characteristics.

A

POPULATION

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8
Q
  • choosing of respondents based on pure
    chance.
  • It gives equal chance to the members of the
    accessible population being selected as part
    of the study
A

SIMPLE RANDOM SAMPLING

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9
Q
  • picking out from the list every 5th or every 8th
    member listed in the sampling frame until the
    completion of the desired total number of
    respondents.
A

SYSTEMATIC SAMPLING

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10
Q
  • the generic term that researchers use
    for measurement device like survey,
A

RESEARCH INSTRUMENT

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11
Q
  • type of instrument provides a series of
    questions designed to elicit information,
    which is filled by all participants
A

QUESTIONNAIRE

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12
Q
  • a list of items that comprise several
    questions that are answerable by “yes”
    and “no” and needed to be checked
    by a respondent for his research
A

CHECKLIST

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13
Q
  • the type of research question that
    requires the respondents to rate their
    agreement or disagreement with a
    particular statement
A

RATING SCALE

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14
Q
  • are questions that can only be
    answered by selecting from a limited
    number of options, usually multiple-
    choice questions with a single-word
    answer. Example: Multiple Choice
A

CLOSED QUESTIONS

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15
Q
  • are questions that require a participant
    to answer in their own words.
A

OPEN QUESTIONS

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16
Q

The data collection process is
approached by various methods that
can be categorized into quantitative,
qualitative, and mixed approaches

A

DATA COLLECTION PROCEDURE

17
Q
  • In this part you need to establish the
    research objectives of the study before
    you begin the data collection
A

DEFINING RESEARCH OBJECTIVES

18
Q
  • Consider both qualitative and quantitative
    data sources, such as surveys, interviews,
    observations, existing datasets, or experiments
  • It identifies the suitable method for collecting
    the data you need.
A

IDENTIFYING THE DATA REQUIREMENT

19
Q
  • A small-scale trial run allows you to identify
    any ambiguities in the data collection process
A

PILOT TESTING

20
Q
  • It is an outline step-by-step procedure for
    data collection.
A

ESTABLISHING DATA COLLECTION PROCEDURES

21
Q

Qualitative analysis aims to uncover
underlying meanings and themes

A

QUALITATIVE DATA

22
Q

quantitative analysis focuses on
numerical trends and patterns

A

QUANTITATIVE DATA

23
Q
  • are brief informational coefficients that
    summarize a given data set

Example: An analyzation of data collected
from 500 respondents regarding their
satisfaction with a new product

A

DESCRIPTIVE STATISTICS

24
Q
  • It involves identifying patterns, frequencies,
    and relationships in the content, which can be
    textual, visual, or auditory.

Example: investigating the impact of social
media on consumer behavior

A

CONTENT ANALYSIS

25
- is based on discussions and reflections of direct sense perception and experiences of the researched phenomenon. Example: exploring the experiences of frontline healthcare workers during the COVID-19 pandemic
PHENOMELOGICAL ANALYSIS
26
- used to measure the strength of the relationship between two variables and compute their association. Example: the relationship between income level and spending habits
CORRELATION ANALYSIS
27
- a method used to describe similarities and differences in variables in two or more groups in a natural setting Example: analyzing students' performance scores before and after the implementation of the new teaching method
COMPARATIVE ANALYSIS
28
- Makes logical connections between the various parts of the arguments starting from the hypotheses - Should answer every research inquiry you have in your research study - The Research Questions of the Study should be the guide in presenting the conclusions
CONCLUSIONS
29
- refers to the brief restatement of the overall components of the study
SUMMARY OF FINDINGS
30
-a chosen set of people to represent the population - A research sample can be considered as best if it is representative of population
SAMPLE