485 comprehensive Flashcards

(87 cards)

1
Q

Test

A

tool or instrument one uses by knowing what they are going to test

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

measurement

A

process in which you test/ collect data

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

What is an example of measurement for hydrostatic weighing ?

A

procedures for HW

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

What is an example for a test for body comp?

A

Skinfold caliper itself

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

Evaulation

A

anaylsis of interpretation from data collected

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

Quantative Measurement, define and provide example

A

a measure dealing with quantity or an amount such as an increase in temperature

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

Qualitative Measurments, define and give example

A

a measure of quality such as an observation, verbage

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

Norm-Ref-ing Testing define and provide example

A

reference setting norms compared to a group (relative to others) such as percentile, grading on a curve

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

Criterion-Referencing Testing define and provide example

A

referenced to standard such as blood pressure, or cpr test

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

Which type of test is being describe when one syas that Lynne has mastered a skill?

a) norm
b) crit

A

B

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

What are the 3 domains of learning?

A

1) Cognitive Learning
2) Psychomotor Learning
3) Affective Learning

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

Describe Cognitive Learning

A

knowledge

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

Describe Psychomotor learning

A

physical learning such as skill test

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

Describe Affective Learning

A

attitude towards learning

values learning

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

Formative Evaluation occurs

A

during

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

Summative Eval occurs

A

at the end

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

Purpose of formative eval

A

gives feedback as going along to check for understanding

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

examples of formative evals

A

observatins, interval data during, quiz, asking did they get it, and progress checks

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

summative eval examples

A

final exams

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

summative eval purpose

A

mastery/ end results to make informed choices on the client or pt, and is twofold

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

3 components that must be included when writing a behvavorial/ performance objective that need to be measureabel include:

A

Behavior (TASK)
Condition
Criterion

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

Why obj’s/goals acctability?

A

to track changes and for both trainer and client to have movitation for those goals

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

SMART acronym is for what purpose?

A

goal setting

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

S stands for

A

Specific to what is going be asked to do (W questions_

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
M
Measureable- informal/formal
26
A
Attainable- Do i have the skills?
27
R
Realistic- Can i really do this?
28
T
Timelyness- how long to achieve these goals?
29
process
how one gets to their goals
30
outcome/product
end result (goals acheived yes or no)
31
Intructional/Evalutauton model is
1) Pre-assesment 2) Obj/goals 3) prescription/instuction to program/ how to acheive goals 4) measurment 5) Evaulation This is a continuous process, and will follow where ever change in this sequence needs to take place and then cycle through the steps again.
32
5 components of Health Related physical fitness
``` CRF Flexibility body comp muscular strength muscular endurance ```
33
6 components perfomance or skill related fitness
``` agility balance speed power coordination Rxn time ```
34
Aldrich Hitchcock is the
father of measurements
35
Continuous Variables
data can be any pt on the scale (whole #, fraction/decimal)
36
example of conutnius variables
time, ht, weight, distance
37
discrete variables
whole numbers only, yes or no did pull up or not
38
Nominal data
naming ones, that are not better than the other, categorizing, no averages needed
39
Ordinal data
order, rank by some characteristics, not = measirements n btween, pure ranking dont know how much better or worse something is based on numbers
40
Interval data
measurement btwn pts is equal but zero doesn't represent lack of characteristics, its just point on a scale such as temperature, even to point where if the value is 0 that means the person answered no questions, cant assume he has no knowledge
41
Ratio data
equal units of measure from one to next; where 0 represents a lack of characteristics being measured (opposite of interval) 0=0 in this one and is the base
42
What are the journal sections?
Intro Method Results Discussion
43
Which of the following is considered the process of colelcting data: a. test; b. measurement; c. eval?
b
44
Which type of eval is used if primary reason for evaluating is motivation? why?
formative eval It is the like a progress check to see if one has improved or not, such as a 1-RM at the end of each week to see if training helped or was not enough
45
Intro components
Background info Lit Review Purpose
46
Methods components
Participants involved/ Demographics Experimental Design Should be able to replicate study like a recipe materials/equipment
47
Results
What happened what stat used and why graph used clearly demonstrating data Hypothesis valid or rejected
48
Discussion
Purpose expanded analysis of results addresses ways to improve study Delimitations
49
Bell Curve/ Normal Distrubition Curve
Equal/ symmetry | Mode, MD, and Mean is right on top of hump and all equal the same value. Bulk of scores are in middle
50
Positively Skewd Curve
Outliers are pulling the mean towards them, and they are higher values than X, MD, Mode. The mode, MD, and mean are less than the outliers, but the mean is greater than MD and Mode, so MD is greater than mode as well but less than X. Bulk of scores at low end = hard test
51
kurtosis
peak
52
platuric
plateaus
53
Negative Skewd Curve
Outliers/ extremes are pulling mean towards them but they are lower values than X, MD, Mode. The mode, MD, X are greater than the outliers, but the mode has the highest value greater than MD and X. Bulk of scores at high end
54
For ungrouped data, Median is the
counted up from the bottom to find the median score (50%)
55
How do you calculate positional point for median for grouped data
N(.5)
56
Positional point for percentile formula =
Percentile in decimal form ( N )
57
N =
amount of participants | postional pt of median score for ungrouped data
58
Mode =
most frequent score, so f
59
LL=
Lower limit of the intended interval you are looking for, and is .5 lower than the lowest # in that interval
60
Median formula for grouped data
MD = L L + (SN/f x SI)
61
SN
scores needed scores needed to get to posititonal point, use cf column underneath and subtract that from the position you are looking for
62
Mean formula ungrouped data
X = (∑ x)/ N or ∑Xf/N
63
Midpt Formula for grouped data
∑fx/N or ∑fm/N
64
SN = formula
point - cf below
65
f in MD formula =
the frequency for interval pertaining your positional point
66
Standard Deviation = G or S = formula
s = √[(N∑x^2 - (∑x(^2))/ N(N-1) ]
67
Range = formula
R = H- L or H-L +1
68
The mode for ungrouped data is
most frequent score
69
MD for ungrouped data = formula
(N+1)/2
70
SI =
size of interval
71
mode for grouped data use
midpt of most frequent score
72
What is a rough estimate central tendency ? When
Mode | When N is Large & there is a normal distribution
73
What of the 3 central tendency shows where the concentration of scores are?
Mode
74
What is the least effective measure of C.T. ?
Mode
75
Mode has very little what?
statistical value
76
an example of mode
Most frequently missed skill, quest
77
Mode has a hierarchy T/F?
True
78
What CT is computed easier than mean?
median
79
Median has a hierarchy T/F?
False
80
What CT is not affected by extreme scores in weight of, just positional pt??
MD
81
When is MD better than mean? How come?
MD is better than mean if: 1) N is small 2) distribution is skewed Since it these cases, it best represents the whole group since the mean is pulled by the extreme values/outliers.
82
Mean is similar to what in a lever?
Fulcrum or balance pt
83
What is the most widely used measure of CT in advanced stats?
Mean
84
Mean is what?
Mean is the point where there is a balance; same amount of points on each side
85
For mean, each score has what to do what?
In mean, each score has weight equal to its full value
86
mean is based on what?
every score
87
Extreme scores/ outliers will do what?
pull the mean away towards the outliers