Modules 4-6 Vocabulary Flashcards

1
Q

Completely Unstructured Interviews

A

starts with broad question, getting subsequently narrower, and focused by initial answer

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2
Q

Focused Interviews

A

number of topics

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3
Q

Focus Group Interviews

A

more than one participant, conversation guided by interviewer

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4
Q

Life Histories

A

narrative self-disclosures about life’s experiences

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5
Q

Critical Incident Technique

A

gathers data about behaviours by studying specific incidents

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6
Q

Question Form

A

researcher knows what they need to know, focused questions, using interview schedule or questionnaire, subject must respond in their own words

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7
Q

Likert Scale

A

most common scaling technique, instruments are declarative statements that express a viewpoint

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8
Q

Vignettes

A

short stories or descriptions of situations, participants explain how they would respond to the situation

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9
Q

Situational Contaminants

A

awareness of an observers presence may affect their behaviour

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10
Q

Response-Set Biases

A

characteristics of the respondents can interfere with the accurate measures of the target attributes

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11
Q

Transitory Personal Factors

A

fatigue, hunger, anxiety, mood

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12
Q

Administration Variations

A

using different methods of data collection from one person to another affecting obtained scores

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13
Q

Reliability

A

accuracy and consistency of a measuring instrument

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14
Q

Stability

A

instrument’s ability to give consistent results

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15
Q

Test-Restest

A

test is administered twice and results are compared, higher means the scores are closer together

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16
Q

Reliability Coefficient

A

reliability with values usually between 0 and 1 (0.8> higher reliability)

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17
Q

Internal Consistency

A

extent to which all items on an instrument measure the same critical attribute or variable

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18
Q

Equivalence

A

degree to which two or more observers using a single instrument obtain the same result

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19
Q

Interrelater or Inter-Observer Reliability

A

present when to or more independent raters or observers agree about the results

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20
Q

Validity

A

extent to which the instrument measures what it was intended to measure

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21
Q

Face Validity

A

whether the instrument looks like it is measuring the target construct

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22
Q

Content Validity

A

extent to which an instrument adequately covers the factors or situations under study

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23
Q

Criterion-Related Validity

A

extent to which a subject’s performance and the subject’s actual behaviour are related

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24
Q

Construct Validity

A

extent to which the test measures a theoretical concept

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25
Credibility
believability or truthfulness of findings
26
Prolonged Engagement and Persistent Observation
invest sufficient time to gain an in-depth understanding of the phenomena
27
Triangulation
multiple methods to distinguish true information from information with errors
28
Peer Debriefing
receive feedback about data quality and interpretation
29
Member Checks
feedback from study participants on the data and the researcher's emerging findings and interpretations
30
Searching for Disconfirming Evidence
purposive sampling, facilitative through prolonged engagement and peer debriefing
31
Researcher Credibility
training, qualifications, experience are important factors in establishing confidence in the data
32
Nominal Level of Measurement
- lowest level - labelling or categorizing variables based on characteristics - numbers do not have a quantitative meaning
33
Ordinal Level of Measurement
- numeric ranking of subjects according to a specific attribute - numbers do not have a precise quantitative meaning
34
Interval Level of Measurement
- ranking events or variables on a scale in which the intervals between the numbers are equal - zero value is arbitrary - addition and subtraction can be used - mean and standard deviation can be calculated
35
Ratio Level of Measurement
- highest form of measurement - equal intervals between numbers - true zero - means and standard deviation is suitable - variables are considered continuous
36
Inferential Statistics
- draw conclusions about the population in the bases of data obtained from the sample - purpose is to estimate the probability that the sample accurately reflects the population and to test hypotheses about the population - used when the sample is randomly selected and the measurement scale is at the interval or ratio level
37
Descriptive Statistics
describe and synthesize data
38
Measures of Central Tendency
individual value that is most representative of that distribution or set of scores
39
Measures of Variability
describe the dispersion or the spread of data
40
Mean
sum of a set of scores divided by the number of scores
41
Median
middle score
42
Mode
score that occurs most frequently
43
Range
difference between the highest and lowest scores
44
Percentile
assigns the score to a specific place within the distribution
45
Standard Deviation
average amount that each of the individual scores varies from the mean and the set of scores
46
Type I Error
researcher states that a relationship exists when it doesn't
47
Type II Error
researcher states that a relationship does not exist when it does
48
Statistical Significance
chance that sample results are not due to chance
49
Parameter
occurrence of a variable in the total population
50
Statistic
occurrence in a smaller sample
51
Parametric Test
sample statistic to estimate the population parameter requiring measurements on at least an interval scale
52
Non-Parametric Test
not based on population parameters, involve less restrictive assumptions about the shape of the distribution
53
Coding Scheme
method for organizing qualitative data, classifying and indexing data to identify underlying concepts
54
Coding Scheme
method for organizing qualitative data, classifying and indexing data to identify underlying concepts
55
Open Coding
trying to capture what is going on in the data
56
Selective Coding
codes only those variables that are related to the core variable
57
Theoretical Coding
putting the broken pieces of data back together again
58
Substative Coding
open and selective coding
59
Descriptive Phenomenology
seek common patterns by identifying essential themes
60
Holistic Approach
viewing the text as a whole
61
Detailed Approach
analyzing every sentence
62
Constant Comparative Method
simultaneous collection, coding, and analyzing of data
63
Constant Comparative Method
simultaneous collection, coding, and analyzing of data
64
Substantive and Theoretical Dimensions
- significance of problem - relevance of research - congruence between study question and methods
65
Methodological Dimensions
rigour of the methods used and the extent to which they yield believable evidence
66
Ethical Dimensions
- evidence that the rights of human subject's were violated | - impact of any ethical problems
67
Interpretive Dimensions
- discussion has all important results - interpretations are consistent with results - limitations identified - conclusions and recommendations are included
68
Presentation and Stylistic Dimensions
- clear, grammatical, concise, organized | - alert to overt bias
69
Research Utilization
use of findings from studies in a practical application that is unrelated to the original research, and translate knowledge into the practice setting to benefit society at large
70
Evidence Based Practice
clinical decisions are based on the best possible evidence, broader concept