Kaplan Integrated Test Flashcards

(67 cards)

1
Q

Inductive Reasoning

A

Makes broad generalizations from specific observations

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

Deductive Reasoning

A

Starts with a general statement, hypothesis, and examines the possibilities to reach a specific, logical conclusion

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

Hypothesis

A

A written, declarative statement in the present tense of a prediction of the relationship between 2 or more variables. Used in quantitative research (not qualitative)

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

Null Hypothesis

A

Predicts there is no relationship between the variables stated in the hypothesis. Not acknowledging a null hypothesis threatens overall study validity. Careful sample selection using power analysis can help prevent these errors

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

Type I Error

A

Null hypothesis is true but is rejected. This is more concerning than Type II errors

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

Type II Errors

A

Null hypothesis is not true but is not rejected, since a relationship between the studied variables does exist

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

Quantitative Research

A

Grounded upon scientific method, focuses on more objective evidence

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

Independent Variable

A

Treatment, intervention, or experimental variable

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

Dependent Variable

A

Outcome, the ruling of extraneous effects

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

Extraneous Variable

A

Unplanned effect on an outcome in a research study

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

Hawthorne Effect

A

An example of an extraneous variable: refers to the psychological effect when subjects change their behavior from how they would normally behave because they know they’re being observed

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

Methods for Survey Research

A

Interviews and questionnaires. May address knowledge, beliefs, perceptions, attitudes, feelings, experiences, behaviors, etc. Questions should be clear, simple, ordered from general to specific

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

Questionnaire

A

Can be written or electronic. Pros: Inexpensive, fast, easy to analyze, allow for anonymity. Cons: Low response rates, doesn’t allow for clarification

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

Attitude Scales

A

Likert scale and Semantic DIfferential scale are structured, self-report measures to learn more about the attitudes of the subjects.

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

Likert Scale

A

Attitude statements of usually 5-7 points, ranging from Strongly Disagree to Strongly Agree. Scores of all questions are summed to obtain 1 total score

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

Semantic Differential Scale

A

Not as commonly used as the Likert Scale. Pairs of 2 opposite adjectives are placed on lines with a 7-point scale between them. Subjects mark the point that best represents their attitude

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

Descriptive Studies

A

Describe characteristics of a topic: individuals, groups, situations and/or frequency of occurrence of certain phenomena

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

Correlational Studies

A

Examine relationships between variables or between subjects and the strength and direction of the relationship

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

Quasi-experimental studies

A

Examine causality but there is NO random assignment and/or control group

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

Experimental Studies

A

Examine causality and DO have random assignment of subjects, with both an experimental and a control group

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

Clinical Trials

A

Research studies, experimental in design, which assess the effects of specific new or revised clinical interventions.

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

Randomized Controlled Trials (RCTs)

A

Viewed as the gold standard for evidence-based practice decisions

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

Cross-sectional Studies

A

Look at 1 phenomenon at 1 point in time and across multiple separate populations that differ in a clear characteristic such as age, developmental status. Allows for a picture of a phenomenon as it exists in the present. Pros: relatively economical, easy to design/implement, quick to conduct and obtain results. Cons: Don’t capture changes that occur over time

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

Longitudinal Prospective Cohort Study

A

Follows subjects over a period of time in the future. Data is collected at 2 or more different times

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
Prospective Study
Study of interest is identified in the present and subjects are followed for a given time frame in the future
26
Cohort Study
Type of longitudinal study in which subjects come from similar background or were born in the same time period
27
Retrospective Study
Uses past data which has already been collected about events that have already occurred. Record review is possible source of data. Good study for exploratory research but not for experimental research
28
Pilot Study
Smaller scale version of a planned study which identifies and prevents a problem that could occur in the larger study. Testing of methods and procedures of the planned study are done for feasibility and accuracy of the planned larger study. Sample population of the pilot study is similar to that of the larger one.
29
Double-blind Experiment
Neither the subjects nor the researchers know who the control group and who the experimental groups are. Gold standard for experimental research.
30
Control group
Group of subjects in an experimental study that is comparable to the experimental group but does not receive the experimental intervention or is given alternative treatment. Provides baseline to measure the effects of the treatment. Purpose: decrease threats to external validity and increase confidence that the findings can be generalized to other populations. Helps decrease researcher bias and Hawthorne Effect
31
Sampling
Process that selects representative units of a population for a study.
32
Eligibility Criteria
Descriptors of the population which provides a basis for selection of the sample. Include age, gender, socioeconomic status, education, religion, ethnicity
33
Target population
Entire set of cases whom the researcher would like to generalize
34
Random Sampling
Ensures the sample is representative of the population from which it was chosen and is representative of the population from which it was chosen. Allows for generalizability of the findings
35
Simple Random Sampling
Random numbers used to select subjects from the total population
36
Stratified Random Sample
Subgroups are selected from the population based on certain characteristics, and representative sample from each subgroup is randomly chosen
37
Cluster Random Sample
Entire groups are randomly selected in stages, subjects randomly selected only from those groups or clusters
38
Systematic Random Sample
Predetermined sampling intervals are used to select subjects from the population
39
Mean
Average value of data set
40
Median
Midpoint of a data set
41
Mode
Most frequent value of data set
42
Nominal
Lowest or least rigorous measurement (gender, blood type)
43
Ordinal
Rank ordering (pain scale)
44
Interval
Consistent distance between ranks (thermometer reading)
45
Ratio
True or natural zero point (volume, speed)
46
Correlations
Focus on the relationship between variables
47
0 Correlation
Absence of a relationship
48
+1 Correlation
Perfect positive correlation
49
-1 Correlation
Perfect negative relationship (inverse)
50
Inferential Statistics
Uses data from samples to make inference about a population
51
T-test
Examines differences between means of 2 groups of values
52
ANOVA
Analysis of variance, compares the differences between 2 or more groups or set of values
53
Chi-square test
Compares sets of frequency or percentage of data
54
Level of Significance
Statistical measure of the probability of rejecting a null hypothesis when it is true. Most common is 0.05 and 0.01, 0.01 and 0.001 are used when the decision to be made has important consequences. Sample size has significant effect on level of significance.
55
Interrater Reliability
When 2 or more independent raters use the same tool and are in agreement regarding their ratings
56
Quantitative Validity: Internal Validity
Degree to which change can be attributed to the cause not the extraneous variables
57
Quantitative Validity: External Validity
Generalizability of the findings of an experimental study to other people and settings
58
Qualitative Research
Focused on discovering and interpreting subjective meaning of an experience to an individual group. Participants, not subjects, are handpicked for their perceived representation of the population of interest
59
Phenomenological Quantitative Research
Describes experineces or phenomena from the point of view of the individuals involved, "lived experiences"
60
Ethnographic Qualitative Research
Focuses on understanding of the culture of a group of people. Researcher becomes active in the culture
61
Bracketing
Method used to control for researcher bias to help ensure clear and accurate observations. Researchers reflect on personal thoughts, feelings and set them aside
62
Trustworthiness
Measure of truth and rigor. Credibility, dependability, confirmability, transferability
63
Data Saturation
Point in qualitative studies when there are no new ideas noted in the data analysis and saturation of themes/categories has occurred
64
Field Notes
Reflective notes documented by the researcher, on strategies and methodologies used, analysis of observations, personal feelings
65
Focus Group
Small group of 6-12 people for their similarities to discuss thoughts, feelings. They are observed for verbal and nonverbal behaviors
66
Report
Written in an informal style. Direct quotes used, adds credibility and trustworthiness. Themes identified.
67
Interview
More personal than questionnaires, can be structured, unstructured, or semi-structured. Pros: higher response rate than questionnaire, increased depth of info. Cons: cost, lack of anonymity, possible interview bias