Midterm Flashcards

1
Q

Abstract

A
a brief description of the study placed at the beginning of the article 
o	Concise summary of the study 
o	Usually less than 300 words
o	Should provide the following:
	Research problem
	Results / findings
	Main conclusions
	Recommendations
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Best source of evidence

A

Systematic Reviews- (level 1) the strongest evidence comes from careful synthesis of multiple studies

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

Bias

A

a distortion or influence that results in an error in inference

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

Bivariate descriptive statistics: Cross tabulation

A

frequencies of two variables are analyzed against each other

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

Bivariate descriptive statistics: Correlation

A

association between variables

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

Bivariate descriptive statistics: Correlation coefficient

A

describes intensity and direction of a relationship

 correlation coefficient range from −1.00 through .00 to +1.00

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

Bivariate descriptive statistics: Positive relationship

A

relationship between two variables in which high values on one variable tend to be associated with high values on the other

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

Bivariate descriptive statistics: Negative (inverse) relationship

A

variables are inversely related, higher values on one variable are associated with lower values in the second

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

Bivariate descriptive statistics: Pearson’s r

A

 most widely used correlation statistic
 computed with continuous measures
 Need to have interval or ratio level variables

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

Bivariate descriptive statistics: Spearman’s rho

A

correlations between variables measured on an ordinal scale

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

Calculating median

A

o 1, 5, 2, 8, 7
o sort numbers: 1, 2, 5, 7, 8
o Median is 5
o If even numbers, median is the arithmetic average (mean) of the 2 numbers

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

Consecutive sampling

A

o Recruitment of all people from an accessible population over a specific time interval or for a specified sample size
o Best possible choice when there is “rolling enrollment” into an accessible population

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

Convenience sampling

A

selecting the most conveniently available people as participants
o People might be atypical of the population (risk of bias)
o Weakest form of sampling, also most commonly used sampling method

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

Credibility

A

A criterion for evaluating integrity and trustworthiness in qualitative studies, referring to confidence in the truth of the data; analogous to internal validity in quantitative research

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

Critical theory research

A

o Critique of society
o Envisions new possibilities
o Action oriented
o Inspire change

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

Data saturation

A

involves sampling until no new information is obtained and redundancy is achieved
o Participants are insightful- saturation achieved with a small sample
o A larger sample is needed with maximum variation sampling

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

Debriefing

A

Communication with study participants after participation is complete regarding aspects of the study (explaining the purpose of the study more fully)

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

Descriptive statistics

A
o	Used to synthesize/summarize/ describe data.
o	Parameters:
	Characteristics of a population
o	3 Characteristics:
	Shape of distribution of values
	Central tendency
	Variability
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

Frequency distribution positive skew

A

o Asymmetrical, the peak is off center, and one tail is other than the other.
o When one tail points to the RIGHT the distribution has a positive skew.

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

Inference

A

a conclusion drawn from the study evidence using logical reasoning and taking into account the methods used to generate the evidence

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

Levels of measurement: Nominal

A
	Lowest level
	Organized in categories
	Cannot be compared
	Exclusive
	Ex: gender, ethnicity, marital status, diagnosis
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

Levels of measurement: Ordinal

A
	Organized in categories
	Can be compared (ranked)
	Rank higher or lower/better or worse
	Exclusive
	Unequal intervals
	Ex: mild, moderate, severe pain OR…no exercise, some exercise, heavy exercise
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

Levels of measurement: Interval

A
	Equal numerical distances between intervals
	Exclusive
	Continuum value
	LACKS A ZERO POINT!
	Ex: temperature
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

Levels of measurement: Ratio

A
	Highest level
	Exclusive
	Ordered
	Equally spaced interval
	Continuum value
	DOES HAVE ABSOLUTE ZERO
	Ex: weight, height, volume
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
Measures of central tendency: mode
 Value that occurs most frequently  Used with nominal data  Bimodal distribution  Multimodal distribution
26
Measures of central tendency: median
 Exact center of frequency distribution  Think midpoint  Used with ordinal data  Not affected by extreme scores
27
Measures of central tendency: mean
 Sum of the scores divided by the number of scores being summed  Used with interval or nominal data
28
Member check
a method of validating the credibility of qualitative data through debriefings and discussions with informants
29
Outliers
a data point that differs significantly from other observations
30
PICO question
``` o P- population  Age  Gender  Ethnicity  With certain disorder (diabetes) o I-interventions  Exposure to disease  Risk behavior o C-comparison  No disease  Placebo or no intervention or therapy  Absence of risk factor o O-outcome  Risk of disease  Accuracy of diagnosis  Rate of occurrence of adverse outcome ```
31
Prolonged engagement
the investment of sufficient time collecting data to have an in-depth understanding of the culture, language, or views of the people or group under study o Tests for misinformation o Ensures saturation of important categories o Important for building trust with informants
32
Purposive sampling
o Using researchers’ knowledge about the population to handpick sample members o Leads to bias but useful approach when researchers want a sample of experts
33
Qualitative sampling methods: Convenience (think volunteer)
 Volunteer samples come forward and identify themselves.  Efficient, economical, and convenient  Not preferred
34
Qualitative sampling methods: Snowball (think network)
 Asking informants to make referrals  Restrictive to small network  Lower quality in sample
35
Qualitative sampling methods: Purposive (think purposeful)
```  Several different types  Deliberately choose (on purpose) the cases that will contribute to the study. • Maximum variation sampling • Extreme (deviant) case sampling • Typical case sampling • Criterion sampling ```
36
Qualitative sampling methods: Theoretical
 Used in grounded theory • 20-30 sample size  Based on the development of the theory
37
Quasi-experimental design advantages
o More practical for a natural setting o Useful for people who are not always willing to be randomized  Has generalizability of the results
38
Research findings
are meant to reflect “truth in the real world” o Inference involves drawing conclusions based on limited information and using logical reasoning  valid to the extent that the researchers have made good decisions in selecting proxies and have controlled sources of bias
39
Research hypothesis
Predicted answers to research questions. State the expected relationship between the IV and DV o Offer direction o Suggest explanations o Promotes critical thinking o Directional Hypothesis-Expected direction of the relationship o Nondirectional Hypothesis-Does not stipulate direction of the relationship o Null Hypothesis-Absence of relationship. H01
40
Research problem statement elements
``` o 1.) Problem identification o 2.) Background o 3.) Scope of problem o 4.) Consequences of the problem o 5.) Knowledge gaps o 6.) Proposed solution ```
41
Retrospective design
Outcome (effect) observed is linked to potential cause from the past
42
Sample size
the number of people who participate in a study; an important factor in the power of the analysis and in statistical conclusion validity in quantitative research
43
Semi structured interviews (or focused)
o Researchers have a list of list of topics or broad questions that must be covered in an interview o Use a topic guide
44
Simple random sampling
o most basic probability sampling o establish a sampling frame (a list of population elements) o 1. Elements in a sampling frame are numbered o 2. A table of random numbers or an online randomizer is used to draw a random sample of the desired size. o Samples selected randomly are not likely to be biased. o There is no guarantee of a representative sample
45
Statistical test
An analytic tool that estimates the probability that obtained results from a sample reflect the population values
46
Cross-sectional
Data collected at one point in time  Economical  Pose problems for inferring changes over time
47
Longitudinal
Data collected multiple times over an extended period |  Concern – attrition (losing participants over time)
48
Type II error
o accepting the null hypothesis when it is false | o false-negative conclusion
49
Types of knowing
``` o Traditions = customs o Authority = expertise o Borrowing = other fields o Trial and Error = unsure how to approach o Personal Experience = gaining knowledge o Role Modeling =Imitating o Intuition = gut feeling o Reasoning = critical thinking/logic ```
50
Types of measurement: Direct
Measurement of concrete items |  Weight, height
51
Types of measurement: Indirect
Captures elements of abstract concept |  Coping, anxiety
52
Types of nonprobability sampling: Convenience sampling
* Selection of the most readily available persons as participants * BIAS!
53
Types of nonprobability sampling: Quota sampling
* A nonrandom sampling method in which “quotas” for certain subgroups, based on sample characteristics, are established to increase the representativeness of the sample * Researchers identify population strata and figure out how many people are needed from each stratum * Quota sampling is similar to convenience sampling: Participants are a convenience sample from each stratum
54
Types of nonprobability sampling: Consecutive sampling
* Recruitment of all people from an accessible population over a specific time interval or for a specified sample size * Best possible choice when there is “rolling enrollment” into an accessible population
55
Types of nonprobability sampling: Purposive sampling
* Using researchers’ knowledge about the population to handpick sample members * Leads to bias but useful approach when researchers want a sample of experts
56
Types of qualitative research: Ethnography
 Description and interpretation of culture & cultural behavior  Extensive fieldwork (time consuming)  Purpose: seek to learn from rather than study  -emic & -etic perspectives o Information sought:  Cultural behavior  Cultural artifacts  Cultural speech o Participant observation  Strategy used by ethnographers  Make observations while participating in activities
57
Types of qualitative research: Phenomenology
```  Main data source is in-depth conversations  Key themes o Two main types:  Descriptive  Interpretative ```
58
Types of qualitative research: Descriptive
(What do we know as persons?)  Depicts “things” as people experience them:  Eclectic design  In-depth collection of qualitative data  No traditional qualitative roots  Content analysis for data interpretation • Organizing data in key concepts/themes
59
Types of qualitative research: Interpretative
 Rely on in depth interviews • May augment understandings  Lived experience and interpretive process  Goals: • To enter another’s word & discover the understandings.  Also referred to as Hermeneutics = understanding • Bracketing does not occur in interpretive phenomenology
60
Types of qualitative research: Grounded theory
 Develops middle range theories  Identify main problem and offer resolution  Constant comparison is used • New data collected compared ongoing to previous data collected  In-depth interviews & participant interviews for data collection
61
Types of qualitative research: Historical
 Systematic collection & critical evaluation of data related to past events/occurrences  Usually interpretive-describe what, how, & why  Primarily relies on written records: • Review data from diaries, letters, newspapers, medical documents o nonwritten data: photos & films • interview people who experienced past events
62
Types of qualitative research: case studies
 Single or Small number of entities with in-depth review  Understand the “why” rather than the “what”  Strength/Weakness • Small sample and get most in-depth data
63
Types of qualitative research: narrative analysis
 The story is the form of inquiry and understanding
64
Types of qualitative research: critical theory
o Similar to critical theory  Focuses specifically on gender domination/discrimination  Goal: facilitate change to end women’s unequal social position
65
Types of qualitative research: feminist research
 Production of knowledge can influence power | • Also focuses on action, empowerment, and raising awareness
66
Types of quantitative research: experimental
 Randomized Controlled Trials (RCT) • “True Experiment” • Level 1 (pg 23 Fig 2.1) • Gold standard • Test the effects of an intervention AND random groups assigned  Pretest-Posttest design • Collect pretest data (baseline) – perform intervention – Collect posttest data (outcome)  Crossover design • Exposing people to more than one treatment
67
Types of quantitative research: quasi-experimental
 nonequivalent control group pretest-posttest design • Level II • Weaker because no randomization  Trials without randomization  Similar to pretest-posttest experimental design without randomized groups  How to identify: • Testing intervention o Comparison group instead of control group  No mention of random group assignment  Time-series Design
68
Types of quantitative research: correlational
```  Level III  Examine relationship between variables  Non-experimental study  Correlations can be detected through statistical analyses  Does not prove causation  Specific correlational designs: • Prospective design (cohort design) o Start with a presumed cause • Retrospective design o Outcome (effect) observed is linked to potential cause from the past • Case-Control design o Review cases that meet certain criteria and identify controls ```
69
Types of quantitative research: descriptive
 Level III |  Observe, describe, document situation
70
Types of quantitative research: time dimensional (cross sectional/longitudinal)
o Cross-sectional  Data collected at one point in time  Economical  Pose problems for inferring changes over time o Longitudinal  Data collected multiple times over an extended period  Concern – attrition (losing participants over time)
71
BSN
 Locate and critically appraise studies, evidence-based guidelines, protocols, and policies with assistance.  Use best research evidence in practice with guidance.  Assist with problem identification and data collection.
72
MSN
 Critically appraise and synthesize studies to develop and review protocols for practice.  Implement best research evidence in practice.  Collaborate in research projects and provide clinical expertise for research.
73
DNP
 Critically appraise studies and develop and refine protocols and policies for practice.  Participate in evidence-based guideline development.  Implement, evaluate, and revise as needed protocols, polices, and evidence-based guidelines in practice.
74
PhD
 Major role in conducting independent research and contributing to the empirical knowledge generated in a selected area of study.  Obtain initial funding for research.  Coordinate research teams of BSN, MSN, and DNP nurses.