Qual Quant Mixed Flashcards

1
Q

A method for investigating a question based on an assumption.

A

Quantitative Research

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2
Q

research designs that illustrate control of the variables
– listed from least control to most control

A

1.Descriptive
2. Correlational (can be under Descriptive also)
3. Causal-Comparative/Quasi-Experimental
4. Experimental Research

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3
Q

Used to gather facts about a particular subject or group

A

Simple Descriptive

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4
Q

Used to compare two or more groups

A

Comparative Descriptive

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5
Q

Used to determine the relationship between two or more variables

A

Correlational

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6
Q

Describes the current status of an identified variable.
* i.e. Kinds of physical activities that typically occur in nursing homes.

A

Descriptive

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7
Q

Designed to provide systematic information about a phenomenon.
* What / How / Why is this happening?

A

Descriptive

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8
Q

Development of hypothesis after collection, analysis and synthesis of
data

A

Descriptive

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9
Q

Attempts to determine the extent of a relationship between two or more variables using statistical data.

A

Descriptive - Correlational

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10
Q

Relationships between and among a number of facts are sought and interpreted.

A

Descriptive - Correlational

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11
Q

Cause and effect is not the goal.

A

Descriptive - Correlational

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12
Q

Recognition of trends and patterns in data, but does not analyze for cause.

A

Descriptive - Correlational

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13
Q

Variables are not manipulated, but studied in a natural setting.

A

Descriptive - Correlational

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14
Q

is a commonly used measure of correlation.

A

A Pearson correlation coefficient

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15
Q

It ranges from -1 to +1.

A

A Pearson correlation coefficient

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16
Q

A value of ___ describes a perfect negative linear relationship.

A

-1

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17
Q

A value of ___ describes a perfect positive linear relationship.

A

+1

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18
Q

A value of ___ indicates no linear relationship.

A

0

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19
Q

Attempts to establish cause-effect relationships among the variables.

A

Quasi- Experimental

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20
Q

Groups are not randomized. - Not a true experiment.

A

Quasi- Experimental

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21
Q

Non-equivalent groups (comparative)
Pre-test/Post-test Cross-section Longitudinal - time series

A

Characteristics and designs of Quasi-Experimental

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22
Q

Non-equivalent groups (comparative) therefore not randomized

A

Pre-Test/Post-Test Comparative

23
Q

Known and unknown variables shared between groups.

A

Pre-Test/Post-Test Randomized

24
Q

Tests or verifies theories or explanations
Identifies suitable variables
Develops questions and hypothesis related to variables
Determines standards of validity and reliability
Uses numerical observation and measurement of information

A

Quantitative Research
The Researcher

25
Q

Abstract
Introduction
Methods
Results Discussion/Conclusion References

A

Typical Sections in a Quantitative Journal Article

26
Q
  • Background or context statement
  • Study purpose
  • Simple design description
  • Methodology description
  • Results
  • Author conclusion
A

Abstract
An overview - Abbreviated synopsis of core article information that includes:

27
Q

Clear and general statement of purpose for the study Explanation or description of a research problem being studied Includes succinct literature review
* current understanding of the problem
* relevant and, if possible, current research findings
* provides context and rational
Answers the question “why should anyone care” Enables reader to predict what the study will look like

A

Introduction

28
Q
  • Detailed description of how the study was carried out to address the research question or hypothesis
  • A clear and complete description of the specific steps taken
  • One of the most important sections for assessing plausible explanations for study results
  • A good methodology allows for study reproducibility
  • Divided up into descriptive Sub Headings
A

Methods

29
Q

Participants
Study design
Equipment
* Include all measurement tools and equipment (Reliability and validity studies, manufacturers specs, use in other research)
Intervention / Procedures
Data collection
Statistical Analysis

A

Methods
- Sub Headings

30
Q

Design and analyses describes the classification and analysis of the data
* How data was analyzed
* P-value

A

Methods - Procedures

31
Q

The probability of observing such a large difference purely by chance.

A

p-Value of 0.05

32
Q

T/F Mathematical probabilities like p-values range from 0 (no chance) to 1 (all chance).

A

TRUE

33
Q

So 0.5 means a 50 per cent and 0.05 means a 5 per cent probability that the outcome was due to______.

A

Chance

34
Q

Statistically significant =

A

a p-value ≤ 0.05 does not necessarily mean the findings are important.

35
Q
  • A description of what the results mean in terms of the research question
  • Based on author’s interpretation and opinion of what the data mean
  • Informed and supported by the results
  • Findings of other studies that support/refute results
  • Limitations of the study
  • Furtherresearch
A

Discussion / Conclusion

36
Q

Should be in the format of the Journal
Usual styles are APA, AMA, Vancouver or Harvard

A

References

37
Q

A method for investigating or developing a question where data collection is in the form of words, based on an ongoing process of change in which there is no distinction between the observer and the observed

A

Qualitative Research

38
Q

The observer describes but does not assume that a particular reality exists or is shared by the observed.

A

Qualitative Research

39
Q

An individual’s description is only one of many perspectives, each equally valid

A

Qualitative Research

40
Q

Multiple causes that can vary from situation to situation (not linear cause and effect)

A

Qualitative Research

41
Q

Observation of phenomena in natural settings without manipulation, but including observer input

A

Qualitative Research

42
Q
  • Employs
    Open-ended questions
    Emerging approaches
    Text or image data
    Participant meanings
A

Qualitative Research

43
Q
  • Includes personal values, makes interpretations
  • Needs participant collaboration, context and setting
  • Validates accuracy of findings
  • Creates an agenda for change
A

Qualitative Research
The Researcher …

44
Q

Phenomenology
Grounded theory Ethnography
Case study
Narrative

A

Strategies of Enquiry FOR Qualitative Research

45
Q

Understanding the ‘lived’ experience related to a phenomenon

A

Phenomenological Research

46
Q

mall participant number, prolonged engagement

A

Phenomenological Research

47
Q

Development of patterns and relationships of meaning

A

Phenomenological Research

48
Q

Attempt to derive a general, abstract theory of a process, action or interactions grounded in participants views.

A

Grounded theory

49
Q

The “theory” is grounded in the data and emerges with interpretation.

A

Grounded theory

50
Q

Data collection is the first step in the process

A

Grounded Theory

51
Q

Prolonged study of cultural group in natural setting (Immersion)
Flexible process evolves contextually.

A

Ethnographic research

52
Q

In-depth exploration of a program, event, activity or process of one or more individuals.

A

Case Studies

53
Q

Detailed information using a variety of data collection procedures over a defined and sustained period of time

A

Case Studies

54
Q

Studies the lives of individuals through stories that are turned into a narrative chronology.
Combines narrative and research’s life views

A

Narrative Research