Research Methods Flashcards

1
Q

Inductive Research

A

theoretical concepts and patterns inferred through observed data

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2
Q

deductive research

A

Planned research relying on scientific method

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3
Q

Scientific Method Research must have the following 4 characteristics:

A

1) replicability
2) precision - an operational definition is created to specify what is being measured.
3) Research must be falsifiable - the ability to obtain results that disprove the hypothesis
4) Parsimony - prioritization of the least complex and most logical explanation of results

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4
Q

Construct

A

an abstract concept that is specifically chosen (or created) to explain a given phenomenon.

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5
Q

descriptive research

A

Research that is directed at making careful observation and detailed documentation of an identified phenomenon. Observations here are based on the scientific method.

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6
Q

epistemology (research)

A

Researcher/research consumer’s assumptions about the best way to do research

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7
Q

Exploratory Research

A

applies to new areas of research

  • scope out the magnitude or extent of a phenomenon
  • generate initial research direction (hunches)
  • test the feasibility of undertaking a more extensive study regarding the phenomenon
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8
Q

Ontology

A

refers to our assumptions about how we see the world

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9
Q

Operational Definitions

A

defines constructs in terms of how they will be empirically measured.

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10
Q

Operationalization

A

The process of designing precise measures for abstract theoretical constructs.

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11
Q

sampling (n.)

A

the target population from which they wish to collect data.

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12
Q

Unit of Analysis

A

refers to the person, collective group, or object who/that is the target of the investigation.

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13
Q

Quality of a research design is a produce of 4 key attributes:

A

Internal Validity/causality
External Validity/generalizability
Construct Validity
Statistical Conclusion Validity

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14
Q

Internal Validity (Causality)

A
  • whether the observed change in a dependent variable is indeed caused by a corresponding change in a hypothesized independent variable (not by extraneous variables)
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15
Q

External Validity

A

generalizability - to whether the observed associations can be generalized from the sample to the population or to other people

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16
Q

Construct Validity

A

Examines how well a given measurement scale is measuring the theoretical construct that it is expected to measure

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17
Q

statistical conclusion validity

A

examines the extent to which conclusions derived using a statistical procedure are valid.

18
Q

Experimental Studies

A

studies that are intended to test cause-effect relationships

19
Q

Field Surveys

give two examples

A

1) Non-experimental designs that do not control for or manipulate independent variable or manualized treatments but do measure operationalized variables and test their effects using statistical methods.
2) survey questionnaire; structuralized interviews

20
Q

secondary data analysis

A

an analysis of data that has previously been collected and tabulated by other sources.

21
Q

case research

A

an in-depth investigation of a problem in one or more real life settings over an extended period of time. Also called Case Study

22
Q

Focus Group Research

A

a type of research that involves bringing in a small group of subjects at one location and having them discuss a phenomenon of interest for 1 1/2 to 2 hours.

23
Q

Ethnography

A

An interpretive research design emphasizing that research phenomenon must be studied within the context of its native culture. The researcher is deeply immersed in a certain culture over an extended period of time. During that period engages observes and records the daily life of the studied culture and theorizes about the evolution and behaviors in that culture.

24
Q

Survey Research

A

A research method involving the use of standardized questionnaires or interviews to collect data about people and their preferences, thoughts and behaviors in a systematic manner.

25
Q

interview survey

A

interviews are a more personalized form of data collection method and are conducted by trained interviewers using the same research protocol as questionnaire surveys

26
Q

Qualitative Analysis

A

The process of analysing qualitative data preponderantly involves writing or categorising the information. Primarily it involves making sense of massive amounts of data by reducing the amount of raw information, followed by distinctive important patterns, and eventually drawing meaningful knowledge and later building a logical pattern.
https://www.educba.com/what-is-qualitative-data-analysis/

27
Q

grounded theory

A

Grounded theory is a qualitative research approach that attempts to uncover the meanings of people’s social actions, interactions and experiences. These explanations are called ‘grounded’ because they are grounded in the participants’ own explanations or interpretations.

Researchers collect data through any means they prefer and then analyze the facts to arrive at concepts. Through a comparison of these concepts, they plan theories. They continue until they reach sample saturation, in which no new information upsets the theory they have formulated. Then they put forth their final theory.

28
Q

mean

A

the simple average of all values in a given distribution

29
Q

Median

A

The middle vaue within a reange of vlaues in a distribution.

30
Q

Mode

A

the most frequently occurring value in a distribution of values.

31
Q

Range

A

The scope of the values smallest through greatest.

32
Q

standard deviation

A

the second measure of dispersion which corrects for such outliers by using a formula that takes into account how close or how far each value lands relative to the distribution mean.

33
Q

correlation

A

a value between -1 and +1 denoting the strength of the relationship between two variables

34
Q

statistical significance

A

a determination made by an analyst that the results in the data are not explainable by chance alone.

35
Q

The strength of results is only as strong as the extent to which it demonstrates

A

Reliability

Validity

36
Q

Inter-Rater Reliability (inter-observer reliability)

A

a measure of consistency between two or more independent raters of the same construct

37
Q

Test-Retest Reliability

A

measures the consistency between two measurements of the same construct administered to the same sampel at two different points of time.

38
Q

split-half reliability

A

measure the consistency between two halves of a construct measure (best method for checking internal consistency) Can only be used if the entire test is testing one construct.

39
Q

internal consistency reliability

A

measures consistency between different items of the same construct

I like to ride bicycles +
I have ridden bicycles in the past +
I hate bicycles -

40
Q

validity

A

The extent to which a measure adequately represent the underlying construct that it is supposed to measure