Lecture 4 Flashcards

(49 cards)

1
Q

Types of Research

A

Exploratory
Quantitative - descriptive specific variables
Experimental

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

What are the 2 types of data?

A

Quantitative and Qualitative

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

Quantitative Descriptive means ____

A

Surveys

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

Intervening Variables

A

Dependant variable comes second in a good research question
INDEPENDENT – you control
DEPENDENT – you observe
INTERVENING / EXTRANEOUS – you address

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

Independant Variable means ____

A

I control

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Dependant Variable means ___

A

I cant control I observe

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

Intervening/extraneous variable means _____

A

I address

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

A Hypothesis is _____

A

a guess about the relationship between the independent and dependent variables

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

In a hypothesis the dependant variable is always stated ____

A

first

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Dependant variable comes second in a good research ____

A

Question

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

Inductive reasoning = ____
Deductive reasoning = _____

A

Inductive reasoning = social work
Deductive reasoning = a lot of what we do in social work

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Nominal Scale means ____

A

no numerical relationship, i.g colour of eyes. Categories not one better than the other. Sex at birth. You cannot do a numerical relationship. Cases are sorted into categories which are as homogeneous as possible as compared with differences between categories.

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

Ordinal Scale means _____

A

there is a numerical relationship. I.g rating prof from 1-7 NO standirization it’s personal to each individual. The difficulty is even though there’s numerical data it’s not mathematically relevant because my 7 is tylures 2. Standards.
→ LIKERT SCALES - no mathematical significance
→ 3 markers to one book
Cases are rank-ordered on the attribute of interest. That is, we can say that the score of a given case is higher than the score of another case, but not how much higher. For example, we can classify child maltreatment cases as “hospitalization required”, “medical care required, but no hospitalization” or “no medical care required”.

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

Interval Scale means ____

A

0 point is arbitrary (temperature)
Number of budget dollars, may be considered interval -level measurement if you are asked to compare cost per service user of a program of psychoeducation for 20 youth versus intensive one-to-one counselling for individuals experiencing IPV.

Interval scales hold no true zero and can represent values below zero. For example, you can measure temperatures below 0 degrees Celsius, such as -10 degrees

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

Ratio scale means _____

A

It is mathematically relevant → it has a true 0
→ 0 matters
Miles per hour. Speed is an easy example of the ratio scale. …
Time. Time spent can be measured on a ratio scale, since “negative time” doesn’t exist. …
Weight. Weight also has a true zero, making it appropriate for ratio scales. …
Age.

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

Conceptualization is the _____

A

The refining & specifying of abstract concepts

Providing a definition that can then be measured

Providing a comparative definition

What does the term mean in your research study?

→ how do we make sense of an abstract thing take a complex idea and make it understandable

→ conceptualization applies to all forms of research

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

Operationalization applies only to _____

A

experimental and descriptive research; it DOES NOT apply to qualitative research.

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

Reliability: a property of ______

A

QUANTITATIVE INSTRUMENTS

-dependability, stability, consistency, predictability, accuracy
-the more error the greater the unreliability reliability is the proportion of the true variance of the total of the data yielded by the measurement instrument

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

3 distinct components to reliability are ____

A
  • stability
  • Equivalence
  • Homogeneity
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

Stability is _____

A

consistency of measures on repeated applications - what is the score when the measure is reapplied?
comparing identical measurements by the same observer
test/ re-test measures stability repeat test is as similar a situation as possible

21
Q

Equivalence is _____

A

relates to the appropriate comparisons between two investigators using the same measurement procedure at the same time independent of each other two different instruments being used at the same time

also known as interobserver reliability

22
Q

Homogenity is ____

A

the internal consistency of inter-item reliability of the measurement instrument
all items measuring the same quality/attribute
odd/even first-half second-half score comparisons/split-half
only if measuring one quality if measuring several need to make corresponding adjustments

23
Q

Validity is a property of ____

A

QUANTITATIVE INSTRUMENTS
( Is the measurement actually measuring what it is intended to measure? )

24
Q

Three atributes of valdiity are ____

A
  • content/face
    -criterion
    -construct
25
What are some things about Content/Face?
- Not predictive - Subjective representation of how accurately a domain is sampled - Have the questions captured the range of the phenomenon being studied - Has the universe of the theme been captured by the questions? - Is the instrument's items appropriate to what is being measured? - Does it reflect what is being measured? - face validity — do the questions appear to relate to the topic
26
What are some things about criterion?
- What is the correlation between the assigned values? - Does the instrument have PREDICITVE value — is there a relationship between the independent and dependent variable captured by the instrument? - Does the test predict some kind of outcome or some present or future set of affairs? - Does the instrument tell us something about the variables being studied?
27
What are some things about construct???
- Relates to the meaning of the instrument - What do different scores mean? - Validation of the theory supporting the test - The hypothesis derived from the theory that led to the test - The test of the hypothesis - Consistent outcomes - Do similar items score the same way? - Do dissimiliar items score in opposite ways?
28
29
Triangulation - name the sides
Multiple (ways of asking) Measurement Approaches Qualitative and/or Quantitative
30
PROBABILITY is ____
random
31
SIMPLE RANDOM SAMPLING
SYSTEMIC SAMPLING STRATIFIED SAMPLE (Proportional Stratified Sampling) NONPROPORTIONAL STRATIFIED SAMPLING CLUSTER
32
Case means
any single item of measurement
33
Population means
the group you are interested in knowing about
34
Sample means
the subgroup you observe/study/question to learn about the population
35
Sample Size means
how many people (cases) you observe/study/question
36
Sampling Method means
how you go about getting the sample from the population
37
Probability Sampling is
quantitative data / drawing conclusions
38
Non-Probability Sampling is
qualitative data / hearing stories
39
Probability (random) sampling is
SIMPLE RANDOM SAMPLING SYSTEMIC SAMPLING STRATIFIED SAMPLE (Proportional Stratified Sampling) NONPROPORTIONAL STRATIFIED SAMPLING CLUSTER
40
Simple sampling is
Simple random sampling is a type of probability sampling in which the researcher randomly selects a subset of participants from a population. Each member of the population has an equal chance of being selected.
41
Systemic sampling is (Kth)
Systematic sampling is a probability sampling method where researchers select members of the population at a regular interval – for example, by selecting every 15th person on a list of the population. If the population is in a random order, this can imitate the benefits of simple random sampling.
42
Stratified Sampling
Stratified sampling is a type of sampling method in which the total population is divided into smaller groups or strata to complete the sampling process. The strata is formed based on some common characteristics in the population data.
43
Stratified Random Sampling
Stratified random sampling (also known as proportional random sampling and quota random sampling) is a probability sampling technique in which the total population is divided into homogenous groups (strata) to complete the sampling process. Proportional Reflects ratio of population Disproportional - Equal numbers across all groups
44
Cluster
Cluster sampling is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample. The clusters should ideally each be mini-representations of the population as a whole
45
a convenience sample is a
46
Purposive Sampling means
47
Quota sampling is
No randomization
48
Snowball Sampling is
suzy knows jack jack knows pat and jamie pat and jamie knows carl mike tim and kevin
49
what are the levels of measurment?