Lesson 3 Flashcards

(79 cards)

1
Q

It is the process of collecting, selecting, and reading books, journals, reports, abstracts, and other reference materials

A

review of related literature

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2
Q

reasons why we review literature

A

• It enables the researcher to properly identify and operationally define study variables
• It can be a source of a theoretical basis for the study
• It prevents unnecessary duplication of a study
• It helps justify the need for studying a problem
• It helps the researcher identify and define a research problem

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3
Q

Key section of chapter 2 or review of related literature

A

• Conceptual Literature
• Research Literature
• Synthesis
• Theoretical Framework
• Conceptual Framework
• Hypothesis
• Definition of Terms

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4
Q

contains literature coming from books, journalism, and other forms of material, concerning or relevant to the study

A

conceptual literature

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5
Q

is empirically – based, like scientific paper, theses, and dissertations, both published and unpublished, coming from local and foreign sources.

A

research literature

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6
Q

it elaborates on the ideas and concepts learned and its relevance to the present work

A

synthesis

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7
Q

it points out similarities and differences between the previous and current research and justify the need for the investigation.

A

synthesis

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8
Q

summarizes the literatures that have been mentioned

A

synthesis

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9
Q

it discusses the similarities and differences of the present study to those studies gathered from theses and dissertations

A

synthesis

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10
Q

it becomes the central theme, the focus, the main thrust of the study and serves as a guide in conducting investigation.

A

conceptual framework

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11
Q

is a diagrammatic representation of a conceptual framework

A

paradigm

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12
Q

depicts in a more vivid way what the conceptual framework wants to convey

A

paradigm

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13
Q

illustrates concepts and process of the research

A

paradigm

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14
Q

presents all variables under investigation and can take in the form of Independent-Dependent variable format

A

paradigm

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15
Q

is the foundation of the research study

A

theoretical framework

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16
Q

refers to highly related theories and principles that were established and proven by authorities

A

theoretical framework

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17
Q

discusses the theory on which the current investigation is based

A

theoretical framework

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18
Q

explains the direction of the study or the researchers own position on the problem

A

conceptual framework

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19
Q

is a wise guess that is formulated and temporarily adopted to explain the observed facts covered by the study

A

hypothesis

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20
Q

It helps the researchers to provide the format for the presentation, analysis, and interpretation of the data

A

hypothesis

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21
Q

types of hypothesis

A

• null hypothesis
• alternative hypothesis

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22
Q

stated in a negative, declarative sentence form which states a denial of an existence of an attribute, a relationship, a difference or effect

A

null hypothesis

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23
Q

stated in a positive declarative form which states an affirmation of the existence of an observed phenomenon

A

alternative hypothesis

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24
Q

it includes only terms, words, or phrases which have special or unique meanings in the study are defined, it should be brief, clear, and unequivocal as possible.

A

definition of terms

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25
2 ways to define a word or term
• conceptual • operational
26
More formal and mostly abstract definition which is based on concepts or hypothetic ones given by books or any references
conceptual definition
27
Define the term based on its observable characteristics and the way it is used in the study by the researcher
operational definition
28
Define the term based on its observable characteristics and the way it is used in the study by the researcher
operational definition
29
explains the overall process of the investigation
research methodology
30
explains the overall process of the investigation
research methodology
31
discusses particularly the methods and techniques employed in identifying the respondents and in constructing the research instrument
research methodology
32
elaborates on the validation and data analysis scheme, which includes the application of statistical tools for treatment of the data collected by the study
research methodology
33
key section of chapter 3
• Research Design • Subject of the Study • Research Instrument • Data Gathering Procedure • Statistical Treatment of Data
34
The researcher chooses the most appropriate to present the study, this has to be supported by a citation of the brief description of the design
research design
35
This section comprises the discussion on how and where the subjects will be taken from
subject of the study
36
It can either be the total population or a sample if population size is large
subject of the study
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what is included in subject of the study?
• the respondents or subjects and their background • total population • manner of selecting respondents/subjects from total population (sampling method) • breakdown of the selected population (optional)
38
the collection of the elements which has some or the other characteristic in common
population
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Number of elements in the population is the size of the population
population
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the subset of the population
sample
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Number of elements in the sample
sample size
42
The process of selecting a sample
sampling
43
sampling methods
• probability sampling • non-probability sampling
44
uses randomization to make sure that every element of the population gets an equal chance to be part of the selected sample
probability sampling
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It’s alternatively known as random sampling
probability sampling
46
Every element has an equal chance of getting selected to be the part sample. It is used when we don’t have any kind of prior information about the target population
simple random sampling
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it is used to calculate the sample size (n) given the population size (N) and a margin of error (e), it's a random sampling technique formula to estimate sampling size
Slovin's Formula
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examples of probability sampling
• Simple random sampling • stratified sampling • cluster sampling • systematic sampling
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This technique divides the elements of the population into small subgroups (strata) based on the similarity in such a way that the elements within the group are homogeneous and heterogeneous among the other subgroups formed. Then the elements are randomly selected from each of these strata. We need to have prior information about the population to create subgroups.
stratified sampling
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The entire population is divided into sections and then are randomly selected.
cluster sampling
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All the elements of the section are used for sampling, can be identified using details such as age, sex, location etc.
cluster sampling
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Here the selection of elements is systematic and not random except the first element.
systematic sampling
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Elements of a sample are chosen at regular intervals of population. All the elements are put together in a sequence first where each element has the equal chance of being selected.
systematic sampling
54
Elements of a sample are chosen at regular intervals of population. All the elements are put together in a sequence first where each element has the equal chance of being selected.
systematic sampling
55
Elements of a sample are chosen at regular intervals of population. All the elements are put together in a sequence first where each element has the equal chance of being selected.
systematic sampling
56
Examples of non-probability sampling
• availability or convenience sampling • purposive sampling • quota sampling • referral / snowball sampling • voluntary sampling
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It does not rely on randomization. This is more reliant on the researcher’s ability to select elements for a sample
non-probability
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This type of sampling is also known as non-random sampling.
non-probability sampling
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This type of sampling is also known as non-random sampling.
non-probability sampling
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This method is used when the availability of sample is rare and also costly. So based on the convenience, samples are selected
availability or convenience sampling
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Here the samples are selected based on the availability
availability or convenience sampling
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This is based on the intention or the purpose of study. Only those elements will be selected from the population which suits the best for the purpose of our study.
purposive sampling
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This type of sampling depends of some pre-set standard.
quota sampling
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It selects the representative sample from the population. Proportion of characteristics/ trait in sample should be same as population.
quota sampling
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Elements are selected until exact proportions of certain types of data is obtained or sufficient data in different categories is collected.
quota sampling
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This technique is used in the situations where the population is completely unknown and rare.
referral / snowball sampling
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a sampling technique where participants self-select to become part of a study because they volunteer when asked, or respond to an advert.
voluntary sampling
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The part contains the discussion of the way of gathering data the is used in the study
data gathering instrument
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what is included in the part of data gathering instrument?
• instruments used • purpose of selecting the instrument • content of the instrument
70
In this part, the researcher discusses the process of gathering the data.
data gathering procedure
71
what is included in the part of data gathering procedure?
• approval of topic • formulation of research questions • checking, revising and rechecking of instrument • authorization on data gathering • administrating the instrument (gathering of data) • analysis of findings
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In this section, the statistical tools used in answering the specific research questions must be described as used in the present study.
statistical treatment of data
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what are included or methods in the statistical treatment of data?
• Frequency and Percentage Distribution • Mean • T-test • Analysis of variance • Pearson Product - Moment Correlation Coefficient • multiple correlation
74
used to determine the percentage usually for data on profile(e.g. level, age, gender, etc.)
frequency and percentage distribution
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used to get average or central value (e.g. level, extent, status, etc.)
mean
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used to determine two (2) variable means which differ significantly or to test the significant difference between 2 variable means.
T-test
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used to find out if the frequency of two or more variables in the study differ significantly or test the significant difference among several groups
analysis of variance
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used to find the degree of the association of two sets of variables, X and Y or to test the significant relationship between the two variables
Pearson Product - Moment Correlation Coefficient
79
used to test if the independent variables have influence on the dependent variables
Multiple correlation