Research Methods Flashcards

1
Q

What is a Population in quantitative research?

A

The entire group being studied; statistics describe what is happening with that group.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is a Sample in quantitative research?

A

A smaller, representative group from the population; findings from samples are generalized to the population.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What are Measures of Central Tendency?

A

Mean, Median, Mode; they indicate where data clusters are.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is the Mean?

A

The average (sum ÷ count).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is the Median?

A

The middle value in an ordered set; if two, average them.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is the Mode?

A

The most frequent value.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What are Measures of Spread?

A

Range & Standard Deviation; Show data dispersion around central tendency.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What is the Range?

A

Difference between the smallest and largest values.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What is Standard Deviation (SD)?

A

How close the values in a data set are to the mean. Low SD = clustered around mean; High SD = data is spread out.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is Descriptive analysis?

A

Descriptive analyses summarize existing data; display data; communicate data; describes ‘what is’ at the time of the observation/study. (What’s happening)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is Inferential analysis?

A

These analyses are from samples, draw inferences to populations; from limited info, make estimated guesses. Generalize to what is not observed (What can be, what can happen if…)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What is Correlation?

A

Indicates a relationship between two variables without implying causation. Typically illustrated with scatterplots

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What is the Pearson-Product-Moment Correlation (r)?

A

A measure of the linear relationship between two variables that have been measured on interval or ratio scales. Formula: Covariance ÷ (Standard Deviation (SD) of both variables).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What does a Positive correlation indicate?

A

Higher values on one variable correspond to higher values on the other variable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What does a Negative correlation indicate?

A

Higher values on one variable correspond to lower values on the other variable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What is the range of r in correlation?

A

The range of r is -1.0 to +1.0.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

What does a value close to 0 in correlation indicate?

A

Indicates a weak linear relationship.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

What does a value close to ±1 in correlation indicate?

A

Indicates a strong linear relationship.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

What is Ordinal Data?

A

Rank-ordered data; no equal intervals between units. (Percentiles, grades, race placements)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

What is Nominal Data?

A

Categories with no logical order; used to label or classify. (Hair color, eye color, instrument choice)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

What is Interval Data?

A

Equal intervals; no true zero. (Temperature, summed rubric data)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

What is Ratio Data?

A

Refers to variables that can take on any numerical value. (Weight, height, time, decimals/fractions)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

What is a Histogram?

A

Graphical representations of quantitative data showing how often each value occurs. (X axis = Measurable Data; Y axis = Frequency)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

What is Normal Distribution?

A

Symmetrical, bell-shaped curve where Mean = Median = Mode.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
Q

What is a Skewed Distribution?

A

Asymmetrical distribution leaning left or right.
Right skewed = positive (test was too hard)
Left skewed = negative (test was too easy)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
26
Q

What is a Null Hypothesis (H₀)?

A

Status quo/No effect; what’s tested. (population = sample)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
27
Q

What is an Alternative Hypothesis (Hₐ)?

A

The claim or hypothesis being tested. (population ≠ sample or ≥, ≤)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
28
Q

What is a Significance Level (α)?

A

The probability of rejecting the null hypothesis when it’s true. (common values: 0.05, 0.01, 0.001)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
29
Q

What is a p Value?

A

A calculated statistic that shows the probability the results are due to random chance. (“If p is low, the null must go!”)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
30
Q

What is a Two-Tailed Test?

A

Used if the research question is looking for a significant difference between the population mean and the sample mean.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
31
Q

Right-Tailed Test

A

Used if the research question is looking for a significant increase between the population mean and the sample mean

32
Q

Left-Tailed Test

A

Used if the research question is looking for a significant decrease between the population mean and the sample mean

33
Q

What is a Type I Error?

A

False positive; reject H₀ when it’s actually true.

34
Q

What is a Type II Error?

A

False negative; accept H₀ when it’s false.

35
Q

True Experimental Research

A

Random selection of participants (R), pre-test & post-test (O). Test group receives the treatment (X), control group does not.

36
Q

Quasi-Experimental Research

A

No random selection; subjects are assigned within intact groups (e.g., grade/class). (O, X)

37
Q

What is a Dependent Variable?

A

The factor being influenced or affected.

38
Q

What is an Independent Variable?

A

The factor that influences the dependent variable.

39
Q

What is Reliability in research?

A

The accuracy and consistency of an instrument or measurement tool.

40
Q

What is External Validity?

A

The extent to which results can be generalized to other populations or settings.

41
Q

What is Internal Validity?

A

The degree of confidence that the observed relationship is due to the treatment and not influenced by other variables.

42
Q

What is the purpose of Qualitative research?

A

To understand the perspectives and experiences of participants.

43
Q

Characteristics of Qualitative Study

A

Natural setting, research as key instrument and actively involved. Multiple data sources (interviews, observations), participants’ meaning, emergent design, reflexivity, holistic account.

44
Q

What is a Case Study?

A

Addressing research questions through in-depth analysis. Focuses on a specific group or people. Multi-disciplinary

45
Q

What is Phenomenology?

A

Describing an individual’s experience of phenomena. Rich narrative that captures the essence of participant’s perceptions and experiences.

46
Q

What is Grounded Theory?

A

Inductively generating a theory describing a phenomenon. (Sociology) Distilling data to build a theory grounded in collected data.

47
Q

What is Ethnography?

A

Describing characteristics of a group of people. (Anthropology) Field work & observations

48
Q

What is Narrative Inquiry?

A

Describing people’s lives/stories to add to our understanding. Human story-telling, narratives including patterns, connections and insights

49
Q

What are the procedures for Qualitative Data Collection?

A

Organizing, reading, coding, developing, and interrelating themes to interpret the meaning of themes and descriptions from collected data.

50
Q

What is the purpose of Assuring Trustworthiness in qualitative research?

A

Ensure the accuracy and credibility of findings; address research bias.

51
Q

Strategies for Assuring Trustworthiness

A

Triangulation; Peer Review; Embedded Observations, Considering disconfirming evidence

52
Q

What is Mixed Methods Research?

A

Combines qualitative and quantitative approaches to gain a comprehensive understanding.

53
Q

What is Convergent Design in Mixed Methods?

A

Collect and analyze both quantitative and qualitative data simultaneously.

54
Q

What is Explanatory Design in Mixed Methods?

A

Phase 1: Quantitative data collection; Phase 2: Qualitative data collection.

55
Q

What is Exploratory Design in Mixed Methods?

A

Phase 1: Qualitative data collection; Phase 2: Identify a feature to test; Phase 3: Quantitatively test the feature.

56
Q

When to use Mixed Methods research?

A

Compare perspectives, gain deeper insights, provide a more comprehensive understanding

57
Q

When to use Quantitative research?

A

Structured, statistical, focuses on verifying theories.

58
Q

When to use Qualitative research?

A

Open-ended, exploratory, focuses on participant perspectives and context.

59
Q

What are the procedures of Historical Research Inquiry?

A

Identify the event, formulate a hypothesis, gather and verify data, determine data usefulness, interpret and present data.

60
Q

What are Primary sources?

A

Original materials like letters, photographs, journals, and firsthand interviews.

61
Q

What are Secondary sources?

A

Secondhand accounts found in internet searches, textbooks, and scholarly articles.

62
Q

What are Tertiary sources?

A

Summaries or overviews, like encyclopedias or factbooks.

63
Q

What is External criticism in historical research?

A

Assessing the authenticity of an artifact or document.

64
Q

What is Internal criticism in historical research?

A

Evaluating the truthfulness and accuracy of the content within data sources.

65
Q

What is the origin of Action Research?

A

Originated in the early 20th century as part of John Dewey’s philosophy of experiential learning.

66
Q

John Dewey

A

Educational Progressivism, Experiential Learning, Self-Study, and Reflection

67
Q

Kurt Lewin

A

Coined “group dynamics”, advocated for bottom-up inquiry over top-down decision-making. Emphasized transformational and emancipatory approaches

68
Q

What is the Action Research Cycle?

A

A reflective process that helps individuals or groups make decisions and take action based on real-world experiences. (Plan - Act - Observe - Reflect)

69
Q

What is Collaborative Educational Action Research?

A

Involves teachers and professional researchers in a collaborative approach. Aimed for ground-level problem-solving and examining the intersection of practice and theory

70
Q

What is the Belmont Report?

A

Issued in 1979, outlining three core principles: Respect for Persons, Beneficence, Justice.

71
Q

What is the purpose of Institutional Review Board (IRB)?

A

They approve research protocols to ensure ethical standards are met.

72
Q

What is the Nuremberg Code?

A

Established after WWII in response to unethical medical experiments, emphasizing informed consent and the protection of human subjects.

73
Q

What are the three core principles of the Belmont Report?

A
  1. Respect for Persons: Ensuring autonomy and voluntary participation, with informed consent.
  2. Beneficence: Do no harm and ensure participants’ well-being.
  3. Justice: Ensuring fairness and equity in the distribution of research benefits and burdens.
74
Q

Who mandates IRBs?

A

Federal Government for institutions conducting human subjects research.

75
Q

What are the responsibilities of an IRB?

A
  1. Ensure informed consent is provided.
  2. Maintain confidentiality.
  3. Minimize risks while balancing them against potential benefits.
  4. Protect vulnerable groups.
76
Q

Who are considered vulnerable groups in research?

A
  1. Pregnant women
  2. School-age students (under 18)
  3. Prisoners
  4. Cognitively diminished individuals