Chapter 5 Flashcards

1
Q

What is the timing of different processes in a quantitative study?

A

Thinking about variables and converting them into action is done during a separate stage, before data gathering and analysing.

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2
Q

What is the timing of different processes in a qualitative study?

A

Measurement occurs during data collection.

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3
Q

What is the data form in a quantitative study?

A

This type of study deals with precise numerical information converted into a common medium so that analysing is more efficient.

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4
Q

What is the data form in a qualitative study?

A

This type of study deals with symbols that are not converted into a common medium. Rather, they are measured through different techniques to retain their diversity.

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5
Q

What are the linkages in a quantitative study?

A

This type of study follows a clear sequence. We first reflect on the concepts, then develop a preplanned measurement technique that can bridge between concepts and data before the collection phase.

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6
Q

What are the linkages in a qualitative study?

A

This type of study follows no clear sequence. We first reflect on the concepts, then develop a measurement. However, we continue to refine and develop, in an interactive process, the concepts and measurements.

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7
Q

What is conceptualisation?

A

Conceptualisation is a process through which a construct receives meaning through a conceptual definition. This definition aims to state the meaning of that construct explicitly through abstract, theoretical terms.

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8
Q

What is operationalisation?

A

Operationalisation is a process through which a conceptual definition is linked to a specific set of measurement techniques. It connects abstract ideas and concrete empirical procedures by referring to specific operations of action.

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9
Q

What is measurement validity?

A

Measurement validity refers to the truthfulness of a measure. Furthermore, it analyses the extent to which the measurement technique measures what it is intended to measure.

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10
Q

What is face validity?

A

An instrument is said to have face validity if it is judged to measure the concept of interest in the eyes of others. It is a consensus method.

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11
Q

What is content validity?

A

In order to have content validity the measurement needs to capture the complete meaning of a concept of interest. If this is desired, the conceptual definition needs to be very clear and the measurement needs to capture every aspect of it.

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12
Q

What is criterion validity?

A

Criterion validity indicates the level towards which your measure agrees with other known measures or other data sources that are deemed to be valuable.

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13
Q

What are the types of criterion validity?

A

Concurrent validity and predictive validity

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14
Q

What is concurrent validity?

A

Concurrent validity indicates that the newly developed measure has a strong association with previously developed measures. A new indicator will be compared to a pre-existing one that was deemed to be valid.

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15
Q

What is predictive validity?

A

Predictive validity argues wether the measurement will be predictive of future measures studying the same concept. It is important to have a clear theory about the construct and how it relates to other constructs.

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16
Q

What is the meaning of measurement validity in qualitative studies?

A

Authenticity is highly relevant. Subject authenticity refers to a sincere account of the social life. Researcher authenticity refers to the lack of distortions of the researcher with the account that the respondent gave. Interpretation may still be applied, only if it stays as close as possible to the statements of the respondent.

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17
Q

What is measure reliability?

A

Measure reliability is achieved if the same outcomes are presented when the studies are replicated under similar conditions

18
Q

How can you increase reliability?

A

By clearly conceptualising constructs, increasing the level of measurement, using multiple indicators and using pilot-tests.

19
Q

What is the relationship between validity and reliability?

A

Validity and reliability are usually complementary concepts, but they can conflict with each other. At times, as validity increases, reliability becomes more difficult to attain, and vice versa.
When something has high reliability and low validity it means that your measure is not measuring the right thing even if it produces reliable results.
When something has low validity and low reliability, your measurement is not good.
When something has high validity and high reliability, then your measurement is spot on.

20
Q

What are continuous variables? Provide examples.

A

Continuous variables have an infinite number of attributes that flow along a continuum. They are often used in quantitative studies. An example would be income, age, temperature (15C, 20C, 25C etc.)

21
Q

What are discrete variables?

A

Discrete variables have a relatively fixed set of separate values or variable attributes. Instead of a smooth continuum of values, discrete variables contain distinct categories. They are often used in qualitative studies. An example would be religion, marital status, temperature (hot or cold).

22
Q

What is the relationship between variables and levels of measurement?

A

Whether a variable is continuous or discrete will affect the levels of measurement.

23
Q

What are the four levels of measurement?

A

Nominal, ordinal, interval and ratio.

24
Q

What is the relationship between conceptualisation on variables and measurement levels?

A

How you conceptualise a construct can limit how precisely you will be able to measure it. For example, temperature is usually a continuous variable (e.g., degrees), but it is also possible to measure it with discrete categories (e.g., hot or cold). While you can often reconceptualise continuous variables into discrete ones; it does not work the other way around. Most discrete variables cannot be reconceptualised as continuous variables, but you can conceptualise related constructs as continuous (e.g., femininity, degree of religiousness).

25
Q

What is the nominal level of measurement?

A

Nominal measures are discrete and indicate only that there is a difference among categories (e.g., religion: Protestant, Catholic etc.).

26
Q

What is the ordinal level of measurement?

A

Ordinal measures are also discrete. They indicate a difference, plus the categories can be ordered or ranked (e.g., letter grades: A, B, C, D, F; opinion measures: strongly agree, agree, disagree, strongly disagree).

27
Q

What is the interval level of measurement?

A

Interval measures are continuous. They do everything the nominal and ordinal measures do, plus you can specify the amount of distance between categories (e.g., Fahrenheit or Celsius temperature: 5°, 45°, 90°; IQ scores: 95, 110, 125). Arbitrary zeroes may be used in interval measures; they are just there to help keep score.

28
Q

What is the ratio level of measurement?

A

Ratio measures are also continuous. They do everything all the other levels do, plus there is a true zero. A true zero makes it possible to state relations in terms of proportion or ratios (e.g., money income: $10, $100, $500; years of formal schooling: 1 year, 10 years, 13 years).

29
Q

What is the difference between a true and an arbitrary zero?

A

An arbitrary zero is when the symbol for the number zero is placed on a continuum as a “placeholder”. Arbitrary zeroes appear in the measurement of temperature. A true zero represents the absence of the measured value. For example, zero weight means the absence of weight.

30
Q

What are some features of good measurement?

A

Mutually exclusive means that an individual or case fits into one and only one attribute of a variable.
Exhaustive attributes means that all cases fit into one of the attributes of a variable.
Unidimensionality means that all the items in a scale or index fit together, or measure a single construct.

31
Q

What is a scale?

A

A scale is a measure in which a researcher captures the intensity, direction, level, or potency of a variable construct. It arranges observations on a continuum. A scale can use a single indicator or multiple indicators. Most are at the ordinal level of measurement.

32
Q

What is an index?

A

An index is a measure in which a researcher combines several distinct indicators of a construct into a single score. This composite score is often a simple sum of the multiple indicators. It is used for content validity. Indexes are often measured at the interval or ratio level.

33
Q

What is a unweighted index?

A

An unweighted index gives each item equal weight. It involves adding up the items without modification, as if you multiplied each by 1 (or -1 for items that are negative).

34
Q

What is a weighted index?

A

In a weighted index, you value or weigh some items more than others. The size of weights can come from theoretical assumptions. Weighting can change the scores of an index

35
Q

What is standardisation?

A

Some indexes and single-indicator measures are rates. Rates involve standardising the value of an item to make comparisons possible. You often need to standardise the items in an index before you can combine them. Standardisation involves selecting a base and dividing a raw measure by the base. It allows us to compare different units on a common basis.

36
Q

What is a Likert scale?

A

Likert scales usually ask people to indicate whether they agree or disagree with a statement. Likert scales need a minimum of two categories, such as “agree” and “disagree.” Using only two choices creates a crude measure and forces distinctions into only two categories. It is usually better to use four to eight categories. This is a simple sampling method that usually provides ordinal-level measurements.

37
Q

What is a semantic differential scale?

A

It provides an indirect measure of how a person feels about a concept, object, or other person. The technique measures subjective feelings toward something by using adjectives. It uses polar opposite adjectives to create a rating measure or scale. The semantic differential captures the connotations associated with whatever is being evaluated and provides an indirect measure of it. Results from a semantic differential tell you how one person perceives different concepts.

38
Q

What is a visual analog scale?

A

A visual analog scale provides a range from 0 to 100 and asks the participants to rate the way they experience something on this scale. For example, 0 is very cold, 50 is neither cold or warm and 100 is very warm. Hence, they have to assess the temperature on this analog.

39
Q

What is a Guttman scale?

A

You must design a study with the Guttman scaling technique in mind because it is applied after data collection. Guttman scaling begins with measuring a set of indicators or items. The indicators are usually measured in a simple yes/no or present/absent fashion. The participants are asked to respond to a set of statements with one of the two available options from the response set. This scale is created with elements that can be ordered in a hierarchical manner. For example, if someone answers yes to the question ‘Do you like pizza?’, they are most likely to score higher in a pizza liking scale.
Furthermore, it is important to weight each element so that those who have the same responses throughout the whole scale can be eliminated. The aim is to discover which statement is agreed with by most participants.

40
Q

What is a Bogardus social distance scale?

A

The Bogardus social distance scale measures the social distance separating ethnic or other groups from each other. It is used with one group to determine how much distance it feels toward a target or “out-group”. The scale has a simple logic: People respond to a series of ordered statements; those that are most threatening or most socially distant are at one end, and those that might be least threatening or socially intimate are at the other end. This is a type of Guttman scale.