Research Terms Flashcards

(92 cards)

1
Q

What is Snowball Sampling?

A

A non-probability sampling technique where initial subjects recruit future subjects from their acquaintances, creating a snowball effect.

Involves starting with one participant who refers others.

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2
Q

What is Quota Sampling?

A

A non-probability sampling method where researchers ensure equal representation of subgroups by setting quotas for each group.

Example: Hand picking a certain number of participants from each tax bracket.

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3
Q

What is Purposive Sampling?

A

A non-probability sampling technique where participants are selected based on specific characteristics relevant to the study.

Example: Selecting students who have used the writing center multiple times.

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4
Q

What is Convenience Sampling?

A

A non-probability sampling method where participants are selected based on their availability and proximity to the researcher.

Example: Asking shoppers outside a grocery store about their feelings on cost of living.

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5
Q

What is Cluster Sampling?

A

A probability sampling method where the population is divided into clusters, entire clusters are randomly selected, and further sampling may occur within those clusters.

Example: Randomly choosing schools and students within them for a study.

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6
Q

What is Stratified Random Sampling?

A

A probability sampling method that divides the population into distinct subgroups and randomly selects samples from each stratum.

Example: Dividing students by year and randomly selecting participants from each year.

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7
Q

What is Systematic Sampling?

A

A probability sampling method where participants are selected at regular intervals from a randomly ordered list of the population.

Example: Selecting every 5th person from a list.

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8
Q

What is Random Sampling?

A

A probability sampling method ensuring each member of the population has an equal chance of being selected.

Example: Drawing names from a hat.

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9
Q

What is Internal Validity?

A

Confidence that the independent variable causes a change in the dependent variable in a study.

Critical for establishing a causal relationship.

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10
Q

What is External Validity?

A

Confidence that the findings of a study can be replicated and generalized to the broader population.

Important for the applicability of research findings.

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11
Q

What is an Extraneous Variable?

A

A variable that is not the independent variable but can affect the dependent variable, potentially threatening internal validity.

Example: Participants learning from outside sources during a study.

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12
Q

What does ‘Mortality of Sample’ refer to?

A

The loss of participants during a study, which can affect the validity of the results.

Example: Participants dropping out of a support group study.

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13
Q

What is Selection Bias?

A

A threat to internal validity where certain groups are overrepresented or underrepresented in a study sample.

Example: Only selecting participants from a specific support group.

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14
Q

What is the Testing Effect?

A

A threat to internal validity where participants’ scores improve due to familiarity with the test rather than actual learning.

Example: Participants performing better on repeated tests.

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15
Q

What is a Sampling Unit?

A

The group of participants chosen to take part in research.

Example: Selecting classes to study attention in the classroom.

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16
Q

What is a Sampling Frame?

A

A list of participants that fit the criteria for the study from which the sampling unit is chosen.

Essential for ensuring a representative sample.

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17
Q

What are the Strengths of Research?

A

Provides evidence-based practice, determines effectiveness, and supports policy development.

Research can drive macro change and fill knowledge gaps.

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18
Q

What are the Limitations of Research?

A

Takes time to develop knowledge, limited to questions asked, and can be subject to bias.

These factors can affect the reliability of research findings.

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19
Q

What is Qualitative Research?

A

Developing knowledge using words and descriptions from participants, focusing on in-depth understanding of experiences.

Cannot generalize findings due to smaller sample sizes.

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20
Q

What is Descriptive Inquiry?

A

Used to describe the lived experiences of participants, often through interviews or focus groups.

A common method in qualitative research.

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21
Q

What is Speculative Inquiry?

A

A wise guess based on evidence used to predict or make hypotheses, often involving inductive research.

Data is gathered to form themes and develop questions.

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22
Q

What is the process of Qualitative Data Analysis?

A

Involves discovering patterns, key themes, and relationships in data collected from participants.

Steps include sampling, data collection, and analysis.

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23
Q

What is Quantitative Research?

A

Expanding on existing knowledge using numbers and statistics to represent data, allowing for generalization of findings.

Relies on structured instruments and does not allow open-ended questions.

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24
Q

What is Correlational Research?

A

Examines the association between two variables without implying a causal relationship.

Useful for identifying potential relationships in data.

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25
What is Experimental Design?
Research design involving randomization to test hypotheses through controlled experiments. ## Footnote Allows for causal conclusions to be drawn.
26
What is a Case Study?
Study of a single case or small group to understand or describe similar cases. ## Footnote Often used in qualitative research.
27
What is Ethnography?
Research method involving the researcher immersing in a social setting to observe cultural practices. ## Footnote Can involve participant observation.
28
What is the Grounded Theory approach in qualitative data analysis?
A speculative inquiry aiming to create new theories without relying on existing literature. ## Footnote Focuses on generating concepts directly from the data.
29
What is the Framework Theory approach in qualitative data analysis?
A descriptive theory approach using existing theories to frame research findings. ## Footnote Often relies on literature to inform analysis.
30
What is a Longitudinal Survey?
Research conducted repeatedly at intervals over time to observe changes. ## Footnote Can include panel studies and trend studies.
31
What is Pre-experimental Design?
A design with one group that receives a treatment and is examined post-test, without randomization. ## Footnote Challenges include potential extraneous variables.
32
What is Quasi-experimental Design?
Design without randomization but includes a controlled group for comparison. ## Footnote Useful for examining differences in non-equivalent groups.
33
What is Random Assignment?
Process ensuring every participant has the same chance of being placed in any group in a study. ## Footnote Critical for ensuring comparability between groups.
34
What does 'R' represent in research design notation?
Randomization
35
What is the meaning of 'X' in research design notation?
Treatment
36
Define 'O' in the context of research design.
Pretest or Post test
37
What is a control group in research design?
Group that doesn’t take treatment
38
What is descriptive research design?
Researchers gather facts or information to describe people or phenomena
39
How does qualitative descriptive design differ from quantitative descriptive design?
Qualitative uses words; quantitative uses numbers
40
What is the focus of exploratory research design?
New discovery of understudied phenomena
41
What does explanatory research design investigate?
Relationships, causes, and effects
42
What is the purpose of evaluative research design?
Assess appropriateness and effectiveness of a policy, program, or intervention
43
What are the key ethical principles in research?
* Protect participants from harm * No discrimination or oppression * No coercion or deception * No exploitation
44
What is the difference between anonymity and confidentiality in research?
Anonymity: No identifying info; Confidentiality: Information remains with the researcher
45
What is informed consent?
A statement describing the study and requesting participation
46
Define a sample in research.
A group selected from a larger group for study
47
What is sampling?
The process of selecting individuals to participate in a study
48
What is a sampling frame?
A list of all members of the population being studied
49
List reasons for sampling.
* Can't study the whole population * Achieve a representative sample * Higher accuracy * Less work for researchers
50
What are the two types of sampling designs?
Probability and Non-probability
51
What is probability sampling?
All members of the population have a chance of being selected
52
What is simple random sampling?
Technique ensuring every combination of individuals has an equal chance of being chosen
53
What is stratified random sampling?
Population divided into categories, then individuals randomly selected from each group
54
Define cluster random sampling.
Population divided into natural groups, clusters randomly selected, then participants from those clusters
55
What is systematic sampling?
Selecting every nth person from a population
56
What characterizes non-probability sampling?
No randomization, participant selection based on relevance to the study
57
What is convenience sampling?
Participants selected based on availability
58
What is purposive sampling?
Participants chosen based on the researcher's judgment
59
What is snowball or referral sampling?
Participants refer other relevant participants to the researcher
60
What is quota sampling?
Population segmented into sub-groups, then subjects selected based on specified proportions
61
What are sampling errors?
* Missed information from the sample * Smaller sample increases chances of error * Larger sample captures more of the population
62
What is internal validity?
Evidence of cause and effect relationships
63
What is external validity?
The ability to replicate research outcomes
64
List factors that can affect validity.
* Extraneous variables * Ambiguity of causal reference * Selection bias * Passage of time * Instrumentation
65
Define units of analysis in research.
The people or things being studied
66
What are variables in research?
Characteristics being studied in the unit of analysis
67
What is a dependent variable?
A variable whose change is caused by another variable
68
What is an independent variable?
A variable that causes a change in the dependent variable
69
What is a control variable?
Variables that can impact research and must be controlled
70
What is an extraneous variable?
A variable not controlled that can affect the dependent variable
71
What is a confounding variable?
An extraneous variable affecting the dependent variable and related to the independent variable
72
What are measures in research?
Instruments used to gather data
73
What is measurement in research?
Assignment of numbers or labels to units of analysis and variables
74
What is conceptualization in measurement?
An abstract definition of a phenomenon to be measured
75
What is operationalization?
Making an abstract definition concrete for practical understanding
76
At how many levels are variables measured?
Four levels: Nominal, Ordinal, Interval, Ratio
77
What is measurement error?
Inaccuracies during the measurement process affecting reliability and validity
78
What is reliability in research?
Consistency and stability of a measurement
79
What is validity in research?
Assessment of whether the measurement instrument measures what it is intended to measure
80
What is descriptive analysis?
Analysis of individual variables
81
Define descriptive statistics.
Ways of organizing and presenting quantitative data concisely
82
What is univariate analysis?
Examination of one variable at a time across cases
83
What are measures of central tendency?
* Mean * Median * Mode
84
What is the range in statistics?
Difference between the lowest and highest values
85
What is variance in statistics?
A measure examining the spread of scores in a distribution
86
What is standard deviation?
Calculated by taking the square root of variance
87
What characterizes leptokurtosis?
Tall and narrow distribution of scores
88
What characterizes platykurtosis?
Flat and wide distribution of scores
89
Define bell-shaped curve.
Symmetrically shaped distribution around the mean
90
What is skewed distribution?
Non-symmetrical curve indicating more responses on one side of the mean
91
What is inferential analysis?
Analysis of associations between variables
92
What are inferential statistics?
Procedures examining associations and making inferences about quantitative data