PR2 - PETA2 Flashcards

1
Q

is the framework of research methods and techniques chosen by a researcher to conduct a study. the design allows researchers to sharpen research methods suitable for the subject matter and set up their studies for success

A

research design

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2
Q

it is the individuals or entities who participate and provide data or information in response to the study’s research questions or objectives.

A

respondents of the study

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3
Q

respondents of the study (5)

A

survey research
psychological research
medical research
market research
educational research

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4
Q

a technique of selecting individual members or a subset of the population to make statistical inferences from them and estimate the characteristics of the whole population.

A

sampling techniques

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5
Q

a sampling technique that involves randomly selecting a small group of people (a sample) from a larger population, and then predicting the likelihood that all their responses put together will match those of the overall population

A

probability

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6
Q

a method of selecting units from a population using a subjective (ie, non-random) method

A

non-probability

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7
Q

a tool used to collect, measure, and analyze data related to your research interests. These are commonly used in health sciences, social sciences, and education to assess patients, clients, students, teachers, staff etc.

A

research instrument

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8
Q

types of quantitative research (4)

A
  • DESCRIPTIVE
  • CORRELATIONAL
  • EXPERIMENTAL
  • CAUSAL COMPARATIVE/QUASI-EXPERIMENTAL
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9
Q

is a type of quantitative research design that focuses on describing and summarizing data rather than explaining relationships or making predictions.

A

descriptive research

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10
Q

examines the relationships between different subjects and variables without the researcher controlling or manipulating any of them. It is focused on relationships between fixed variables.

A

correlational research

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11
Q

is research that is guided by a specific hypothesis or hypotheses. It is very useful for guiding decision-making.

A

experimental research

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12
Q

used to identify a cause and effect relationship between two variables, where one variable is dependent and another is independent.

A

causal-comparative/quasi-experimental research

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13
Q

2 types of variable

A

independent variable
dependent variable

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14
Q

is information that cannot be counted, measured or easily expressed using numbers. It is collected from text, audio and images and shared through data visualization tools, such as word clouds, timelines, graph databases, concept maps and infographics.

A

qualitative data

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15
Q

2 types of qualitative data

A
  • nominal data
  • ordinal data
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16
Q

group of objects or ideas that can be collectively grouped on the basis of a particular characteristic
(under qualitative data)

A

nominal data

17
Q

is a type of data that has a natural ordering or ranking.
(under qualitative data)

A

ordinal data

18
Q

is information that can be counted or measured or, in other words, quantified—and given a numerical value.

A

quantitative data

19
Q

2 types of quantitative data

A
  • discrete data
  • continuous data
20
Q

refers to numerical values that can only take on specific, distinct values.
(under quantitative data)

A

discrete data

21
Q

is measured on a continuous scale and can take any value within a certain range. It includes data that can be divided into smaller and smaller units, and there are no gaps or interruptions between the values.
(under quantitative data)

A

continuous data

22
Q

The validity of a research study refers to how well the results among the study participants represent true findings among similar individuals outside the study.

A

construction and validation of research instrument

23
Q

In this part of research, the questionnaires given to the participants are retrieved.

A

administrative and retrieval of the instrument

24
Q
  • Taking raw data into something that can be interpreted and used to make decisions.
  • Explain all the relevant formulas for the analysis and interpretation of data.
  • Verbal interpretations for the computed values may also be summarized in tables.
A

statistical treatment of data

25
Q

uses various analytical tools to draw inferences about the population using samples.

A

inferential statistics

26
Q

parts of chapter 2 (7)

A
  • research design
  • respondents of the study
  • sampling technique
  • instrument used
  • construction and validation of the instrument
  • administration amd retrieval of the instrument
  • statistical treatment of data