1st Exam Flashcards

(52 cards)

1
Q

Tendency of measurable things to change

A

Variation

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2
Q

Collection, organization, analysis, interpretation of numerical data

A

Statistics

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3
Q

what is descriptive statistics?

A

technique for summarising and presenting data

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4
Q

what is inferential statistics?

A

making generalisations and conclusions about target sample

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5
Q

types of statistical inference?

A

estimation & hypothesis testing

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6
Q

process of computing a statistic to approximate the parameter

A

estimation

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7
Q

statistically deciding about rejecting or not rejecting a hypothesis

A

hypothesis testing

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8
Q

in what steps does statistics help the researcher?

A

designing the research, processing, organising & summarising data, quantifying variability, interpreting results and drawing conclusions

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9
Q

difference b/w qualitative and quantitative variable?

A

Qualitative - used as labels; Quantitative - indicates amount

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10
Q

Types of quantitative variable and define.

A

Discrete - only integral / whole numbers; Continuous- fractions / decimals

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11
Q

Levels of measurement and define.

A

Nominal - classificatory, for labels only; Ordinal - same as nominal… but can be ranked or ordered; Interval - same as ordinal… distance b/w all adjacent classes are equal… zero point arbitrary; Ratio - same with ordinal but with meaningful zero point

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12
Q

careful, organised & well-planned investigation of a problem

A

Research

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13
Q

heart of research

A

problem

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14
Q

characteristics of research

A

systematic, reproducible, objective

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15
Q

arrange in order: 1. final report writing 2. planning the research 3. identification of research & objectives 4. dissemination & utilisation of results .5. implementation of stud

A

3, 2, 5, 1, 4

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16
Q

characteristics of a good research problem?

A

feasible, timely & relevant, ethical

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17
Q

program objective

A

reflects the purpose or desired output of the intervention being considered

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18
Q
Memorize: 
Identification of problem / introduction
Review of Related Literature
Rationale
Formulate hypothesis & define variables
Methodology
Ethical considerations
References, research personnel, timetable, budget
A

did you?

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19
Q

SMART?

A

Specific, Measurable, Attainable, Realistic, Time bound

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20
Q

studying / examining only a segment of the population to represent a whole

A

Sampling

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21
Q

items of interest in the study

22
Q

Differentiate among: Target Population, Sampling Population, Sampling Unit

A

Target Population - group from which representative information is desired // to where inferences will be made

Sampling Population - where sample will be taken

Sampling Unit - units which are chosen in selecting the sample

23
Q

Target = Sampling?

24
Q

Differentiate: Sampling Frame / Sampling Unit (Element)

A

Sampling Frame: collection of all units

Element : where measurement is actually taken

25
2 kinds of basic sampling design. Differentiate
Non-probability sampling: the probability of a member of the population being part of a sample cannot be determined Probability sampling: the probability of a member of population to be part of the sample has a none-zero chance of being selected
26
Types of Non Probability Sampling?
Judgemental - subjective / based on pre-specified criteria Accidental / Haphazard - those who are available Quota - samples of a fixed size are obtained from pre-determined subdivisions Snowball - hidden population Convenience - study units are easily accessible
27
Probability Sampling Designs?
Simple Random Systematic Sampling - regular intervals Stratified Random - stratify then random sampling Cluster - cluster instead of individually studying Multistage - phases >1 technique *mind advantages & disadvantages
28
Steps of pre-data collection - what - where - how - who
what: identify what date / variables to collects where: determine source how: develop tools for collecting data who: train data collectors
29
Sources of Health Data
census registries of vital events reports on notifiable diseases
30
problem with registries of vital events / reports on notifiable diseases
underreporting
31
data collection method:
query, observation, review of records
32
types of query
interview (KII, normative), questionnaire, FGD
33
types of observation
direct, use of instruments
34
interview schedule
form containing a set of questions
35
Hawthorn effect
tendency to mask reality while being observed
36
systematic procedure to ensure that info / data are complete, consistent and suitable for analysis
data processing
37
three major activities of data processing
data coding, data encoding, data editing
38
types of codes
field: actual value / information bracket: range listing: list of categories pattern: combinations of responses
39
demography
study of population
40
demography concentrates on three human phenomena
pop. size, pop. composition, pop. distribution
41
Tools of demography
counts, ratio, proportion, rates
42
information obtained during a census
geographic, household information, personal characteristics
43
differentiate the allocation methods
1. de jure - assign according to usual residence | 2. de facto - assign where they are physically present
44
Types of registration systems
vital registration systems continuing population registers others
45
most visible evidence of a government's legal recognition
birth registration
46
describing population composition
1. sex composition a. sex ratio b. sex structure 2. age composition a. median age b. dependency ration 3. age and sex composition population pyramid
47
Factors affecting age composition
fertility level peace & order situation urban - rural differences cultural
48
types of population pyramids
n
49
consequences of age & sex structure
consumption patterns, death rate, rates & patterns of migration, probabilities of marriage for men & women
50
factors affecting population distribution
urban - rural distribution population index crowding index
51
measures of change in population size
1. natural increase = # of births - # of deaths 2. rate of natural increase = CBR - CDR 3. relative increase = [(Pt - P0) / P0] x 100 4. abs increase per year (b) = [(Pt - P0) / t] 5. annual rate of growth
52
``` types of population size accdg to detail desired time reference method / assumption used ```
1. detail desired a. total population vs. subgroups b. population by selected characteristics 2. time reference a. intercensal estimates b. postcensal estimates c. projections 3. method or assumption a. component b. mathematical (arithmetic, geometric, exponential)