Research problems & Theory and research Wk3 Flashcards

1
Q

Because quantitative researchers use numeric data in their analyses, they need to

A

quantify or operationalise their conceptual or theoretical ideas

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2
Q

When researchers convert a ‘concept’ into something that is measurable and testable, it becomes a

A

‘variable’

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3
Q

A variable has

A

attributes, i.e. categories or values that depict its characteristics

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4
Q

What is a ‘proposition’

A

logically joins two or more concepts,

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5
Q

When a proposition is converted to a something that is measurable and testable, it is called a

A

‘hypothesis’

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6
Q

A theory is

A

an idea

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7
Q

knowledge is

A

a tested and verified idea

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8
Q

A conceptual definition gives:

A

meaning to a particular concept, is typically what you would find in a dictionary, is usually easily communicated to other people, and remains abstract (i.e. it gives no indication of how the concept could be measured)

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9
Q

An operational definition:

A

clearly identifies how a concept can or will be measured and any information that may need to be collected to make those measurements

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10
Q

In an operational definition, the measurement is taken from the researcher’s perspective and thus is only applicable in

A

quantitative research

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11
Q

A variable is an operationalised concept that can be

A

measured, and whose characteristics (or attributes) can vary

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12
Q

There are three types of variables in quantitative research:

A

independent, dependent, and extraneous (or confounding)

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13
Q

independent variable (IV) is

A

what the researcher expects to “cause” or predict something

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14
Q

dependent variable (DV) is

A

the “outcome”, “consequence” or “effect” that the researcher is interested in measuring/observing,

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15
Q

extraneous/confounding variables are

A

ALL THE OTHER REASONS THAT COULD CAUSE THE IV OR DV

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16
Q

A hypothesis is:

A

(i) a testable proposition and therefore can be measured, and (ii) is a formal and logical statement that identifies the proposed relationship between the IV and DV, in the population of interest

17
Q

There are two main types of hypotheses:

A

i) a research (or scientific) hypothesis, and (ii) a statistical (or null) hypothesis

18
Q

The main difference between a scientific and statistical hypothesis is

A

that a scientific hypothesis states the expected relationship, but the statistical hypothesis states that there is no relationship, between the IV and DV

19
Q

A null hypothesis is symbolised as

A

H0

20
Q

A research hypothesis is symbolised as

A

Ha or H1

21
Q

There are two types of research hypotheses:

A

(i) directional, and (ii) non-directional

22
Q

Directional hypotheses state

A

the direction in which the IV and DV are expected to be related to one another,

23
Q

a non-directional hypothesis only states that

A

the IV and DV are related, and not the proposed direction of this relationship

24
Q

There are two opposing philosophical paradigms that influence the methods researchers use and how they make sense of the findings:

A

(i) positivist, and (ii) interpretive

25
Q

the positivist (or empirical paradigm) assumes there

A

is a single reality; uses both inductive and deductive reasoning; seeks the objective truth; believes that to know the whole it only needs to know the parts; assumes the world is stable and predictable; and uses an etic (or outsider) approach to understand the world

26
Q

the interpretive paradigm assumes there

A

are multiple realities; uses only inductive reasoning; seeks to understand subjective experiences; assumes the whole is greater than the sum of its parts; assumes the world is always changing; and uses an emic (or insider) approach to understanding the world

27
Q

CONFOUNDING VARIABLE:

A

An extraneous variable. A variable that is so closely linked to the variable a researcher intends to measure that their independent effects can not be established ALL THE OTHER REASONS THAT COULD CAUSE THE IV OR DV