Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

Research clinic > Lecture 2 > Flashcards

Lecture 2 Flashcards

1
Q

follows a strict, predictable structure or set of conventions

A

formulaic

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

… Follows a strict, predictable structure or set of conventions

A

Academic writing

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

research conversations (joining ongoing discussions within a field of study

A

research conversations

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

Dimensions of research conversations

A
  1. means of communication
  2. topics
  3. codes of conduct
  4. opinion leadership
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

how can you take part in research conversations

A
  1. know what has been said before
  2. without repeating things we already know
  3. contrubite something new
  4. stick to the conversation rules (method, style)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

looking at the reference list identifies important studies on which the focal study builds on

A

backward looking (cited refs)

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

identifies cutting-edge work (times cited

A

forward looking

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

helpful place to start academic writing

A

literature review

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

high-level paper strucure

A
  • sections
  • subsections
  • paragraphs
  • first and last sentence
  • evidence arguments within paragraph
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

How to keep things manageable in structuring

A

compartmentalizing

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

structure of quantitative paper

A
  • Introduction
  • theoretical background
  • methods and data
  • results
  • discussion
  • conclusion
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

structure of qualitative paper

A

-introduction
- methods
- findings
- theory
- interpretation
- conclusion

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

In what social setting is the research conducted?
What empirical setting (individuals, group(s), occupation(s), organization(s), industry, etc.) do you use to examine your question

A

Social setting

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

What data do you use to answer your question? How do you analyse the data?

A

Research design and analysis

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

data are typically not in numerical form, but textual, visual, audio. Analyses are more verbal / rhetorical in nature. tend to be process focused. Heavy focus on the why or how; deep, embedded understanding of the phenomenon of interest. Induction

A

qualitative research

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

data are typically in numerical form. Analyses are inferential in nature. Regression based; explaining variation; Obtain statistical evidence to support or reject hypotheses. Focus on the strength of relationships between concepts. The mechanisms are theorized, but often not explicitly tested.Deduction

A

quantitative data

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

In ….work, you need to report your steps in such a way that a person with the same data would get the same results. (reproductability)

A

quantitative

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

In work, one might even argue that the same person with the same data doesn’t need to come to the same results.

A

qualitative

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

Explain and justify methodological choices and/or interpretations in detail

A

dependability

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

Neutrality - results should not be caused by researcher bias, motivation, or interest.

A

Confirmability

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

Confidence in the ‘truth’ of the results (i.e., not simply wrong).

A

credibility

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

The total set of observations of interest to your study

A

Population

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

The subset of the population that you empirically study

A

Sample

24
Q

The process of selecting units from a population.

A

sampling

25
Q

The major entity that is being analyzed. Note: Ensure that your … is aligned with your Research Question

A

Unit of analysis

26
Q

Drawing conclusions about individuals based on group data. The error of making conclusions about individuals based on data or characteristics of a group to which they belong.

A

Ecological fallacy

27
Q

Drawing conclusions about a group based on exceptional cases.
The error of making conclusions about an entire group based on an unusual or exceptional case.

A

Exception fallacy

28
Q

Data that is hand-collected specifically for your research

A

Primary data

29
Q

Primary data of qualitative and quantititative research

A

survey, interview

30
Q

Pre-existing data that can be used for your research.

A

Secondary data

31
Q

Secondary data for quantitative and qualitative data

A

internal memos, archival data

32
Q

A sample taken at a single point in time.
refers to data collected from a group or sample at a specific point in time. It provides a “snapshot” of the variables being studied but does not track changes over time.

A

cross-sectional data

33
Q

Observations over time.
it tracks changes, trends, and patterns across time.

A

longitudinal data

34
Q

New cross-sections every time.

A

Repeated / Pooled cross-sections

35
Q

Observations of a variable over time (underlying sample may change; common in finance)

A

Time series

36
Q

Time-series for each cross-sectional member. Often seen as the gold standard.
Combines aspects of both time series and cross-sectional data by tracking the same individuals, groups, or entities over time.

A

Panel data

37
Q

The approximate truth of propositions, inferences, or conclusions.

A

validity

38
Q

The extent to which a piece of evidence supports a claim about cause and effect, within the context of a particular study

A

Internal validity

39
Q

The degree to which the conclusions in your study would hold for other persons in other places and at other times

A

external validity

40
Q

accuracy of a measure. The degree to which inferences can legitimately be drawn from the operationalizations in your study to the theoretical constructs on which those operationalizations were based.
Ensures that your study measures what it’s supposed to measure, based on the theoretical concept (or construct) you are studying.

A

Construct validity

41
Q

consistency of a measure . A measure is said to have a high … if it produces similar results under consistent conditions.

A

reliabilty

42
Q

fundamental principles of good research design

A
  • match your design to your question
  • match construct definition with operantionalization
  • specify your model
  • use measures with construct validity
  • choose samples and procedures appropriate to your RQ
43
Q

What exists and our view on the nature of reality.

A

Ontology

44
Q

perceived relation with knowledge (i.e. we are part of knowledge, or external to it). How we should investigate the world. Study of knowledge and how we come to know things.

A

Epistemology

45
Q

how we go about discovering and creating knowledge. Details of how we collect data.

A

Method

46
Q

Reality exists independently of observers there is a single truth. facts exist, and can be revealed

A

Realism

47
Q

Reality exists, but its structure is a function of the human mind. Truth exists, but nu description of it can be proven to be true. Facts are concrete, but cannot always be revealed

A

internal realism

48
Q

Scientific laws are created by people to fit their view in reality. each point of view has its own truth. facts depend on the viewpoint of the observer

A

relativism

49
Q

Only physical particulars in time and space are real. there is no universal truth. facts are all human creations

A

Nominalism

50
Q

ontology assumptions

A
  • realism
  • internal realism
  • relativism
  • nominalism
51
Q

epistemology assumptions

A

-positivism (quantitative)
-social constructionism (qualitative)

52
Q

The best way to investigate the world is through objective methods, such as observations. fits within a realist ontology.

A

Positivism

53
Q

Reality does not exist by itself. Instead, it is constructed and given meaning by people. The focus is on feelings, beliefs and thoughts, and how people communicate these. fits better with a relativist ontology

A

Social constructionism

54
Q

positivism fits within a …

A

realist ontology

55
Q

social constructionism fits with …

A

relativist ontology

Research clinic (4 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2024 Bold Learning Solutions. Terms and Conditions