Pr-2 Flashcards

(57 cards)

1
Q

states the situation or circumstances within which your
research topic is conceptualized.

A

Background of the study

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2
Q

is the focus of investigation

A

Research Problem

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3
Q

Characteristics of good research questions

A

feasible, clear, significant, and ethical

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4
Q

specifies the coverage of your study such as variables, population or
participant, and timeline

A

scope

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5
Q

cites factors of your study that are not included or
excluded or those you will not deal in your study

A

Delimitation

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6
Q

is the structure or blueprint of the research plan and helps the researcher
formulate relevant research questions.

A

Research Framework

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7
Q

is used for studies which anchor on time-tested theories that relate the
findings of the investigation to the underpinning relevant theory of knowledge.

A

Theoretical framework

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8
Q

is the actual ideas, beliefs, and tentative theories that
specifically support the study.

A

Conceptual framework

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9
Q

is a visual representation of information that helps show the relationship between
ideas.

A

Concept map

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10
Q

is the meaning of the term that is based on how it is define in the
dictionary or encyclopedia.

A

Conceptual definition

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11
Q

is the meaning of the term based on how it was used in the study.

A

Operational definition

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12
Q

is an assumption about the relationship between two or more variables.

A

Hypothesis

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13
Q

There are seven basic types of hypothesis; these are

A

Simple, Complex, Empirical, Logical,
Statistical, Null, and Alternative

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14
Q

relates relationship between the variables and can also predict its
nature. It illustrates the direct association of the impact of the independent variable to the
dependent variable whether it is positively or negatively affected. The direction of the statement
should be clear and justified according to the findings of the study.

A

Directional hypothesis

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15
Q

is used when there is no principle involved. It is a premise that the
direction of the effect is not specifically determined. It is a statement that reflects the association
of the independent variable to the dependent variable without predicting the exact nature of
direction of the relationship

A

Non-directional hypothesis

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16
Q

is a compilation of studies related to a specific area of
research. It evaluates, classifies and summarizes all the relevant previous studies conducted
on a specified topic.

A

Review of related literature

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17
Q

is primarily focused on the content or contextual aspect of research. Usually it
is a type of review in which the researcher relates his or her study to a larger body of knowledge.

A

Context review

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18
Q

a specialized type of literature review in which the researcher
organizes the related researches according to the period of time it was conducted. It focuses on
probing research in a specified field throughout a chronological order, which usually starts from
the farthest period of time going to the most recent studies.

A

Historical reviews

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19
Q

is a common type of literature review in which the researcher
introduces and summarizes the recent knowledge of the study. It emphasizes the
agreements and disagreements of knowledge among various previous researches

A

Integrative review

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20
Q

is a specialized type of literature review in which the researcher
gathers and compares and contrast other studies to the current research. It basically summarizes
and evaluates the strengths and gaps in methodological aspects of various studies.

A

Methodological review

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21
Q

bits of information or facts known by everyone

A

Data

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22
Q

are measurable, numerical, and related to a metrical system

A

Quantitative data

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23
Q

is an activity that allows the researcher to obtain relevant information
regarding the specified research questions or objectives.

A

Data Collection

24
Q

comprise questionnaires, interviews, test, and
observation

A

Quantitative
research
instruments

25
consists of a series of questions for the purpose of gathering information from respondents about a research topic.
Questionnaire
26
are research instruments used for assessing various skills and types of behavior as well as for describing certain characteristics
Tests
27
is a method of collecting data about an individual’s behaviors, opinions, values, emotions, and demographic characteristics using numerical data.
Quantitative interview
28
is used frequently in qualitative research. It is also used in quantitative research when the characteristics being observed are quantitative in nature such as length, width, height, weight, volume, area, temperature, cost, level, age, time, and speed
Observation
29
is a free online form that enables the researcher to construct, administer, and analyze surveys.
Google Forms
30
is a document that provides the participants with the information they need in deciding whether they will participate or not in your study.
Informed Consent Form
31
is a process wherein the collected data are checked for consistency, accuracy, organization, and clarity
Editing
32
is a process wherein the collected data are categorized and organized. Labeling, using of numbers and symbols are also applied. - Tabulation is a process of arranging data into a table. This maybe done manually or electronically using MS Excel
Coding
33
is the organization of raw data in table form, using classes and frequencies.
Frequency distribution
34
are composed of graphs, bars, tables, charts, diagrams, illustrations, drawings and maps.
Non-prose materials
35
are non-prose materials that help condense and classify information using columns and rows.
Tables
36
when both values have the same directions (increase or decrease)
Positive Correlation
37
when one value increases, the other one decreases and vice versa
Negative Correlation
38
the two variables have no relationship with each other
No Correlation
39
is a statistical method used for determining whether there is a linear relationship between variable.
Pearson’s r
40
is a statistical technique that tests the relationship between ordinal variables.
Spearman’s Rho (𝜌)
41
tests the difference among groups concerning one variable
One-way ANOVA
42
is used for determining the relationships between two independent nominal variables (factors) and one dependent interval or continuous variable. It serves as an extension of the one-way ANOVA
Two-way ANOVA
43
is a statistical tool that is used for testing the relationship between one dependent variable and at least two independent variables
Multiple Regression
44
are statistical technique that tests the difference between two means
T-Tests
45
refers to the average score of the given set of values.
Mean
46
refers to how spread out the values are across the data set you are studying
Variance
47
refers to how spread out the values are across the data set you are studying
Variance
48
is the square root of the variance
Standard Deviation (SD)
49
is also known as the significance level. It refers to the probability value that must be reached before claiming that the findings obtained are statistically significan
Alpha level (𝜶)
50
is a calculated probability that is compared to the alpha level. If the p-value is lower than the set alpha level, there is a difference between the scores obtained for the two groups (statistically significant)
p-value (𝒑)
51
is the statistic computed for the t-tests including the extent of the difference between the two groups being examined
t-value (𝒕)
52
refers to the number of values in the final computation of statistic that has freedom to vary. If you have one sample.
Degree of Freedom (𝒅𝒇)
53
In this type of t-test, the sample groups are highly related to each other, since they involve the same subjects (e.g. pretest and posttest groups).
T-test for Two Dependent Samples (Paired t-test)
54
the difference between data sets from two different groups such as in the case of the control and treatment groups. Statistical hypothesis is an assumption about a population parameter.
T-test for Two Independent Samples tests
55
indicates that the null hypothesis should be rejected when the testvalue is in the critical region on one side of the mean.
one-tailed test
56
is either aright-tailed test ora left-tailed test, depending on the direction of the inequality of thealternative hypothesis.
one-tailed test
57
the null hypothesis should be rejected when the test value is ineither of the two critical regions.
two-tailed test