Quiz #11 Flashcards

1
Q

Data processing includes
1) Data Co
2) Data En
3) Data Cl

A
  • Data coding
  • Data entry
  • Data cleaning
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1
Q

assigning values to the data for statistical analyses

A

Data coding

What is this?

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2
Q

data are entered into some kind of computer software
for management and analysis

what is this?

A

Data entry

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3
Q

____ _____ refers to the preliminary “cleaning” of data by fixing
coding errors, mistakes, or discrepancies with variables, coding
schemes, scales, or files in general

What is this?

A

Data cleaning

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4
Q

This refers to ensuring that responses that could only be answered by certain
participants were not answered by others

  • For example, a measure of whether or not someone gave birth to a child
    should not be answered by any biological males in the data set (as this is
    physically impossible and thus would represent an error in data collection)

What is this?
Hint: Con Cle

A

Contingency cleaning

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5
Q

Causes fir missing data:
1) D E O/E
2) N
3) M/S D C W
4) A
5) F R

A
  • Data entry oversight/errors
  • Nonresponse
  • Missing/skipped data collection waves
  • Attrition
  • Flawed responses
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6
Q

If a measure is missing between -%, listwise delete is acceptable

If a measure is missing between _-__%, imputation methods may be used

If a measure is missing more than __%, the variable should be dropped from the analysis altogether (except in special circumstances)

A

1-5
5-15
15 +

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7
Q

____ ____ involves modifying an original measure with a new numerical coding scheme

A

Recoding data

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8
Q

We can always recode a variable ________ to reduce its complexity (make it more simple)
– this means we can always recode in the following direction: Ratio  Interval  Ordinal
 Nominal.

A

Downward

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9
Q

Broadly speaking, there are 3 types of data analysis

U
B
M

A

Univariate
Bivariate
Multivariate

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10
Q

Involves examining the characteristics/attributes of one variable at a time (Descriptive
statistics

A

Univariate

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11
Q

Involves examining the relationship between two variables (both comparative and inferential)

A

bivariate

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12
Q

Involves examining the relationship between three or more variables (both comparative and
inferential

A

multivariate

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13
Q

Data analysis can involve _______ and/or ________ approaches

A

Comparative and Inferential

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14
Q

involves analysis of the attributes of the variables being examined to describe better the relationship between two variables

Comparative or inferential?

A

Comparative

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15
Q

involves not only describing relationships, but makes predictions and/or inferences about dependent variables based on the influence of independent variables

Comparative or inferential?

A

Inferential

16
Q

Broadly speaking, there are 3 types of statistical approaches:
1) Des
2) Comp
3) Infer

A

Descriptive
Comparative
Inferential

17
Q

There are four (4) kinds of frequency distributions

A F Dist

R F Dist

C F Dist

C r F Dist

A

Absolute frequency distributions

Relative frequency distributions

Cumulative frequency distributions

Cumulative relative frequency distribution

18
Q

Displays data based on the assigned numbers per category

Which of the four (4) frequency distributions is this?

A

Absolute frequency distributions

19
Q

displays percentage breakdown of each category as a percentage of the total

Which of the four (4) frequency distributions is this?

A

Relative frequency distribution

20
Q

Every subsequent category is added to the previous value, creating a cumulative total

Which of the four (4) frequency distributions is this?

A

Cumulative frequency distribution

21
Q

Every subsequent percentage breakdown of each category is added to the previous
percentage breakdown, creating a cumulative percentage total

Which of the four (4) frequency distributions is this?

A

Cumulative relative frequency distribution

22
Q

Methods of displaying frequencies:

1) P C
2) B G
3) H
4) P
5) L C
6) M

A

1) Pie charts
2) Bar graphs
3) Histogram
4) polygons
5) Line charts
6) maps