MT Reviewer Flashcards

(52 cards)

1
Q

Research is a process of systematic inquiry that entails collection of data; documentation of critical information; and data analysis and interpretation of that data, in accordance with suitable methodologies set by specific professional fields and academic disciplines

A

Quantitative Research

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2
Q

__________________ is a systematic invitation that primarily focuses on quantifying data and generalizing results from a sample to a population

A

Quantitative Research Design

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3
Q

It involves the use of structured tools such as surveys, questionnaires, and statistical tests to collect numerical data and analyze it using mathematical methods

A

Quantitative Research Design

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4
Q

It is a powerful tool for investigating and understanding phenomena through numerical analysis, but it should be complemented with qualitative approaches when a deeper contextual understanding is necessary

A

Qualitative Research Design

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5
Q

Characteristics of Quantitative Research

A
  1. Structured Approach
  2. Objective Measurement
  3. Large Sample Sizes
  4. Statistical Analysis
  5. Statistical Analysis
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6
Q

It follows a strict protocol with clearly defined steps and procedures

A

Structured Approach

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7
Q

Utilizes tools and instruments to measure variables precisely

A

Objective Measurement

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8
Q

Often involves large groups of participants to ensure generalizability

A

Large Sample Size

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9
Q

Data is analyzed using statistical methods to determine relationship, differences, and trends

A

Statistical Analysis

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10
Q

Studies can be repeated with the same result to verify the results

A

Replicability

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11
Q

Involves testing hypotheses derived from theoretical framework

A

Hypothesis Testing

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12
Q

Strengths of Quantitative Research

A
  1. Objectivity
  2. Generalizability
  3. Precision
  4. Replicability
  5. Comparison
  6. Predictive Power
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13
Q

Reduces bias by using standardized methods and statistical analysis

A

Objectivity

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14
Q

Results from a large, representative sample can be generalized to the broader population

A

Generalizability

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15
Q

Provides precise and reliable measurement of variables

A

Precision

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16
Q

Allows for comparison between groups, variables, and overtime

A

Comparison

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17
Q

Can predict outcomes and trends based on data analysis

A

Predictive Power

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18
Q

May lack the depth and context provided by qualitative data

A

Limited Depth

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19
Q

Structured nature can limit flexibility in exploring new or unexpected phenomena

A

Rigidity

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20
Q

Relies on the assumption that variables are quantifiable and relationships are linear

A

Assumptions

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21
Q

May not capture the full complexity of participant’s attitudes and behaviors

A

Participant Response

22
Q

Often neglects the context and nuances of the research setting

A

Context Ignored

23
Q

Describes characteristics of a population or phenomenon

A

Descriptive Research

24
Q
  • provides a comprehensive overview of the current state
  • cannot determine cause-and-effect relationship
A

Descriptive Research

25
examines the relationship between two or more variables without manipulating them
Correlational Research
26
- identifies relationship and patterns - cannot establish causation
Correlational Research
27
involves manipulating one variable to determine its effect on another variable
Experimental Research
28
- can establish cause-and-effect relationship - may be artificial and not generalizable to real-world settings
Experimental Research
29
Similar to experimental research but lacks random assignment
Quasi-Experimental Research
30
- useful when random assignment is not feasible - potential for selection bias and confounding variables
Quasi-Experimental Research
31
A ____ in research simply refers to a person, place, thing, or phenomenon that you are trying to measure in some way
Variable
32
- variables that are manipulated or categorized to determine their effect on dependent variables - to establish cause and effect relationships by observing how changes in the IV affect the DV
Independent Variable
33
- variables that are measured to see how they are influenced by the Iv - to observe and measure the outcome or response in an experiment
Dependent Variable
34
- variables that are kept constant to prevent them from influencing the outcome of the experiment - to isolate the effect of the independent variable on the dependent variable
Control Variable
35
- is the foundation of your research paper - it sets the stage for your study
Chapter 1
36
- provides context and rationale for your research - explains the broader context of the problem - Why is the topic important?
Background of the Study
37
- visual or theoretical model that guides your research - shows relationship between variables - How do the key concepts in your study relate?
Conceptual Framework
38
- specific questions your research aims to answer - should align with your objectives - What questions will your study address?
Research Questions
39
- outlines what your research aims to achieve - should be clear and measurable - What are your specific goal?
Research Objectives
40
- clearly defines the issue your research will address - should be specific and researchable - Why is this problem worth investigating?
Statement of the Problem
41
- explains the importance and potential impact of your research - Who will benefit from your findings? - Why does your research matter?
Significance of the Study
42
- defines the boundaries of your research - What are the limitations of your study ?
Scope and Delimitations
43
- clarifies key terms and concepts used in your research - ensures readers understands your terminology - What terms need defining in your study?
Definition of Terms
44
- Why is it important have a clear problem statement? - How can defining terms help in your research? - What might be some challenges in setting the scope of your study?
Probing Questions
45
other factors that may influence the outcome (dependent variable) which are not manipulated or pre-defined by the researcher
extraneous variables
46
are countable whole numbers
discrete variables
47
variables that take fractional (non-whole number) values that can either be a positive or a negative
continuous variable
48
quantitative variables where the interval or differences between consecutive values are equal and meaningful but the numbers are arbitrary
interval
49
type of data is similar to interval, the only difference is the presence of a true zero value
ratio
50
variable consisting of only two distinct categories or values
dichotomous
51
simply defines groups of subjects; here you may have more than 2 categories of equivalent magnitude
nominal variable
52
a variable is ranked in a certain order this variable can have a qualitative or quantitative attribute
ordinal variable