wordlist Flashcards

1
Q

What is inductive research?

A

Inductive research is an approach that often involves exploring and discovering new patterns, theories, or insights based on observations and data. It is referred to as ‘the way of discovery.’

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2
Q

What is design science research?

A

Design science research focuses on creating and evaluating solutions (artifacts) for specific problems.

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3
Q

What is explicit knowledge?

A

Explicit knowledge is codified, structured, and easy to communicate or share with others. It can be expressed in words, numbers, formulas, and documented in manuals, books, articles, databases, and other recorded formats.

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4
Q

What are the categories of explicit knowledge? and what order is it?

A
  1. Categorical/Descriptive Knowledge: Identifying and describing what something is.
  2. Explanatory/Declarative Knowledge: Explaining how or why something functions.
  3. Evaluative Knowledge: Assessing the value or quality of something.
  4. Prescriptive/Normative Knowledge: Providing guidelines or best practices.
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5
Q

What is implicit knowledge?

A

Implicit knowledge is personal, intuitive, and difficult to articulate or transfer to others. It is often tacit, unconscious, and based on experience, skills, and intuition.

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6
Q

What is a literature review?

A

A literature review involves examining and summarizing existing research within a specific field to identify research gaps or problems.

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7
Q

What are the types of literature reviews?

A
  1. Simplified Literature Review: Summarizes key works to support one’s study.
  2. Literature Mapping/Scoping Review: Structures a research field and categorizes existing literature.
  3. Systematic Literature Review: Evaluates and synthesizes evidence to answer a specific research question.
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8
Q

What is a research paradigm?

A

A research paradigm defines how research is conducted and how knowledge is understood.

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9
Q

What are the levels of data?

A
  1. Nominal Data: Categorical data with no inherent order.
  2. Ordinal Data: Ranked data with undefined differences.
  3. Interval Data: Ordered data with equal distances but no absolute zero.
  4. Ratio Data: Data with an absolute zero point.
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10
Q

What is an experiment?

A

An experiment is a controlled investigation used to determine cause-and-effect relationships by manipulating an independent variable.

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11
Q

What are key considerations in experiments?

A
  1. Validity: Are we measuring the right thing?
  2. Reliability: Are the results consistent?
  3. Bias: Systematic errors that can distort results.
  4. Confounding Variables: Other factors that might influence the outcome.
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12
Q

What are surveys?

A

Surveys are a method of collecting data from a large group of respondents efficiently, typically through questionnaires.

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13
Q

What is p-hacking?

A

P-hacking involves conducting multiple statistical tests to find a result that appears significant, even if it is not truly meaningful.

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14
Q

What is a research report?

A

A research report is a formal written document that presents the results of a research study.

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15
Q

What does presentation of work refer to?

A

It refers to how you verbally communicate the results, methods, and conclusions of your research project to an audience.

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16
Q

What is a research hypothesis?

A

A hypothesis is an assumption or prediction about what will happen in a study, consisting of questions or statements that can be tested.

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17
Q

What are qualitative analysis methods?

A
  1. Thematic Analysis: Identifying and analyzing recurring patterns in qualitative data.
  2. Narrative Analysis: Interpreting meaning in stories.
  3. Grounded Theory: Developing theories from collected data.
  4. Discourse Analysis: Understanding how language shapes social relationships.
  5. Content Analysis: Examining and quantifying specific words or topics in text.
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18
Q

What is academic writing?

A

Academic writing is formal, logical, structured, standardized, and fact-based, using references and citations.

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19
Q

What is validity in research?

A

Validity is the extent to which the study measures what it intends to measure.

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20
Q

What is reliability in research?

A

Reliability refers to how consistent and trustworthy the research results are.

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21
Q

What is confirmation bias?

A

Confirmation bias is the tendency to seek out, interpret, favor, and remember information that confirms one’s pre-existing beliefs or hypotheses.

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22
Q

What are variables in research?

A

Variables are values measured in a study, with independent variables being manipulated and dependent variables being measured.

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23
Q

What are interviews?

A

Interviews are a data collection method involving conversations between the researcher and participants.

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24
Q

What are focus groups?

A

Focus groups are a research method that gathers data through group interaction.

25
What is random sampling?
Random sampling is a method where every individual in the population has an equal chance of being selected.
26
What is stratified sampling?
Stratified sampling involves dividing the population into subgroups and taking a random sample from each.
27
What is convenience sampling?
Convenience sampling involves choosing participants based on accessibility, but the sample is rarely representative.
28
What is purposive sampling?
Purposive sampling involves selecting participants strategically for their expected contribution to the study.
29
What is snowball sampling?
Snowball sampling is useful for reaching hard-to-access groups by having existing participants recommend others.
30
What is the research process?
The research process includes defining a research question, identifying research gaps, stating the aim, formulating a hypothesis, conducting a literature review, and establishing a research design.
31
What is the difference between inductive and deductive research?
Inductive research starts with observations to develop theories, while deductive research starts with theories and tests them through empirical data.
32
What is mixed methods research?
Mixed methods research combines both qualitative and quantitative methods.
33
What is a longitudinal study?
A longitudinal study involves repeated observations of the same variables over a long period.
34
What is descriptive statistics?
Descriptive statistics are methods for summarizing and describing data.
35
What is inferential statistics?
Inferential statistics are methods for drawing conclusions about a population based on a sample of data.
36
What is a confidence interval?
A confidence interval (CI) is a measure of how confident we are in our results.
37
What is a p-value?
A p-value is the probability of obtaining the observed result if the null hypothesis is true.
38
What is the null hypothesis?
The null hypothesis (H0) is an assumption that there is no difference or relationship between the investigated variables.
39
What is the alternative hypothesis?
The alternative hypothesis (H1) is the assumption that the researcher wants to prove.
40
What is thematic analysis?
Thematic analysis is a qualitative analysis method for identifying, analyzing, and interpreting patterns in data.
41
What is content analysis?
Content analysis is a qualitative analysis method for quantifying the occurrence of certain words, concepts, or subjects in text.
42
What are the components of academic writing?
1. Abstract: A brief summary of a research paper. 2. Introduction: Presents the problem and research question. 3. Method: Describes how the research was conducted. 4. Results: Presents the findings. 5. Discussion: Analyzes results in relation to the research question. 6. Conclusions: Summarizes findings and implications.
43
What is peer review?
Peer review is the evaluation of a scientific work by experts in the same field.
44
What is ethics in research?
Ethics refers to principles and guidelines for responsible research.
45
What is informed consent?
Informed consent is participants' voluntary and informed agreement to participate in the research.
46
What is anonymity in research?
Anonymity ensures that participants' identities cannot be linked to their data.
47
What is confidentiality in research?
Confidentiality involves keeping participants' information private and not sharing it with unauthorized individuals.
48
What does Significance mean?
means that a result is unlikely to be due to chance. If a result is statistically significant, it suggests that the effect or difference observed is real and not random. A common threshold is p ≤ 0.05, meaning there’s less than a 5% chance that the result happened by accident.
49
what does Effect Size mean?
Effect size helps us know if something really works or if the difference is just tiny and not important
50
What are Test groups?
The experimental group receives the treatment or independent variable manipulation in an experiment.
51
What are Control Groups?
The control group receives no treatment or a placebo, serving as a baseline to compare the experimental group's results. Random assignment ensures unbiased outcomes.
52
Explain T-test?
A t-test is a statistical tool used to test for significance by comparing means and determining if the difference is real or just due to chance.
53
what T-tests are there
Independent t-test (two-sample): Compares the means of two unrelated groups. Paired t-test: Compares means from the same group before and after a treatment. One-sample t-test: compares if the majorety of a single group is significantly different from a known or expected majorety of the population.
54
what is Chi and Pearson's R?
Chi-Square (χ²) Test: Checks if two categories (e.g., gender and favorite color) are related by comparing actual vs. expected counts. Pearson's R: Measures how strongly and in what direction two numbers (e.g., hours studied & test scores) move together. Ranges from -1 (strong negative) to +1 (strong positive).
55
what is Hypothesis testing?
A statistical method to determine if there is enough evidence to reject the null hypothesis in favor of an alternative.
56
What is correlation testing?
Measures the strength and significance of the relationship between variables (e.g., Pearson’s R) but does not imply causation.
57
Explain Qualitative Research.
Qualitative research explores experiences, meanings, and behaviors using non-numerical data like interviews, observations, and texts. It focuses on understanding rather than measuring.
58
Explain Quantitative Research.
focuses on numbers, measurements, and statistical analysis to study patterns and relationships. It uses surveys, experiments, and numerical data to test hypotheses and make predictions.
59
Key diffrences between Qualitative & Quantitative research?
Qualitative research explores "why" and "how" using descriptive data. Quantitative research focuses on "what" and "how much" using numbers and statistics.