BR 1 recap Flashcards

1
Q

Inductive Approach

A

= when there is little to no research on this topic, you move from observation to a theory

Stages

  1. Observation
  2. Observe a pattern
  3. Develop a theory based on patterns
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2
Q

Deductive Approach

A

= you start with a theory and move to observations

Stages

  1. Start with a theory
  2. Formulate hypothesis based on a theory
  3. Collect data to test the hypothesis
  4. Analyze results
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3
Q

Quantitative Research

A

= used to test or confirm theories and assumptions

  • Mainly expressed in numbers & graphs
  • Requires many respondents
  • Closed (multiple choice) questions
  • Key terms: testing, measurement
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4
Q

Qualitative Research

A

= used to understand concepts, thoughts, or experiences

  • Mainly expressed in words
  • Requires few respondents
  • Open-ended questions
  • Key Term: understanding
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5
Q

Stages of a Research Process (6)

A
  1. Introduction
  2. Literature
  3. Methodology
  4. Results/Findings
  5. Discussion/Analysis
  6. Conclusion
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6
Q

Independent Variable

A

The cause, independent of other variables in the study

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7
Q

Dependent Variable

A

The effect, depends on changes in the independent variable

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8
Q

Problem Background

A

Describes what the problem is and why it is a problem

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9
Q

Problem Statement

A

States the main problem the research needs to answer

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10
Q

Different types of research questions (4)

A
  • Descriptive
  • Normative
  • Correlative
  • Impact
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11
Q

Descriptive Research Question

A

“What are the characteristics of X?”

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12
Q

Normative Research Question

A

The question that asks what should

“What should X be?”

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13
Q

Correlative Research Question

A

“What is the relationship between X and Y?”

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14
Q

Impact Research Question

A

“What impact does X have on Y?”

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15
Q

Census

A

= a complete enumeration of the elements of a population or study objects

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16
Q

Sample

A

= a subgroup of the elements of the population selected for the participation of the study

17
Q

Nominal Data

A

Also known as categorical data

Examples: gender, political preference, student ID

18
Q

Ordinal Data

A

Qualitative/categorical data
Within this data there is a natural rank order

Examples: language ability, level of agreement

19
Q

Ratio/Interval Data

A

Quantitative Data
These scales have equal intervals between values

Ratio has a true zero
Interval does not have a true zero e.g. degrees Celsius

20
Q

Descriptive Statistics

A
  • Summarise and organize characteristics of a data set.
  • Describe the sample on the basis of the data that is collected.
  • You can calculate simple statistics like average, median, mode, standard deviation
21
Q

Inferential Statistics

A
  • Help you come to conclusions and make predictions based on your data
  • Here you can use the data from the sample to understand the larger population