TRANSCRIPTEnglish

D4 Master Partial Interval, Whole Interval, & Momentary Time Sampling

18m 33s3,086 words454 segmentsEnglish

FULL TRANSCRIPT

0:04

Hi everyone and welcome back. We're

0:06

going to talk about discontinuous

0:08

measurement. And so this

0:11

is different than continuous in that

0:14

we're sort of sampling the behavior.

0:17

We're not seeing all instances of

0:21

behavior. So what is it? It's measuring

0:24

a couple instances of behavior. If you

0:27

break the observation into intervals or

0:30

moments in time, we want to use this

0:33

when continuous measurement is not

0:36

practical and you might have time

0:39

constraints. I often ask teachers if

0:41

they can try this because it's much

0:43

easier to do other things while you do

0:46

this. Initially, it's pretty difficult,

0:49

I would say, but once you learn how to

0:51

do it well, it becomes a lot easier.

0:54

So this is when you have limited time or

0:57

attention for observation, multiple

0:59

clients at once, behavior occurs at a

1:01

high frequency. So it would be difficult

1:04

to take a frequency count. So we use

1:06

discontinuous or interval recording. And

1:09

so we have three types and I'm going to

1:11

talk about each type

1:14

individually. This is an interval

1:17

recording sheet that I created.

1:21

The first thing you need to do is pick

1:23

your time intervals. And this is going

1:26

to be individualized to the

1:30

student or the behavior that you're

1:32

working with. And these cannot change.

1:35

So when you're in baseline from

1:37

intervention, you cannot change this.

1:39

You must collect the data using the same

1:42

type of interval recording and the same

1:44

intervals. This specific example has

1:47

10second intervals. You can do 30

1:50

seconds, you can do 20 seconds, you can

1:52

do a minute, you can do five minutes. It

1:54

just really depends. The smaller they

1:56

are, the better the picture of behavior.

1:58

The bigger they are, the easier it is to

2:01

do and the less data you're collecting.

2:05

You're going to look at that interval

2:07

from from the from the 0 to 10 seconds

2:12

and you're going to mark did behavior

2:14

occur or did it not? And there's some

2:15

rules with that with partial, whole, and

2:17

momentary time sampling. And we'll talk

2:19

about each one of those

2:21

individually. But you mark down and then

2:24

once you mark it down, you're done. And

2:25

you wait for the next interval. And from

2:27

10 to 20 or 19, did a behavior occur?

2:32

And so you can set your watch so it

2:34

every 10 seconds it buzzes. Or you can

2:37

do different things with timers to help

2:40

you. Or you can just take a watch or

2:43

start my stopwatch and put it next to my

2:45

data sheet. So I'm just watching the

2:47

time so I constantly know when we're

2:50

moving into a new interval. So 10

2:52

seconds is really the smallest anyone

2:54

ever does. I've never seen someone do

2:55

five. So 10 is really small, very time

2:59

inensive, almost as good as taking

3:01

continuous measurement. And then I've

3:04

seen I've done 10 minute intervals

3:06

before. So you can make the intervals

3:08

really big if you need things to be

3:11

easier. So most data sheets for this

3:14

interval recording is going to be long w

3:17

like it goes this way and a length

3:20

landscape. So I you can use either

3:23

nothing changes about this but

3:25

it is just what you're going to see if

3:28

someone hands you a data sheet. So you

3:29

write down from 0 to 10 seconds did it

3:32

occur from 10 to 20 did it occur? And

3:34

all you're marking is a yes or no.

3:36

You're not marking anything else. You're

3:38

not marking a frequency. You're not

3:40

marking a duration. You're not talking

3:42

about latencies. Just yes or no, X or

3:45

check, zero or one, Y or N. People use

3:48

different symbols to do

3:51

this. And so that's part of the reason

3:54

why it's a lot

3:57

easier. So why we use this? We use this

4:00

because we're we only want to measure

4:03

some instances of behavior. So, we're

4:05

not measuring all instances, but it is

4:07

just a lot easier. It breaks our

4:09

observations into moments or time

4:11

segments. We're looking at whether

4:13

behavior occurred within that small time

4:16

interval or not. This is used when

4:19

continuous measurement is not practical.

4:22

Really high frequency behavior, you have

4:24

to do other things. You want to observe

4:26

many people at once. A lot of times I'll

4:29

introduce a partial for therapy. So when

4:32

the behavior techs are doing therapy,

4:35

they'll also take interval recording

4:38

every 5 minutes. It helps us track

4:40

behavior throughout the session, but

4:42

isn't so time inensive to do frequency

4:45

or duration on a behavior. If it's

4:48

frequent, if it's not frequent, they can

4:51

probably do that during therapy tech.

4:53

But if it's frequent behavior, it's

4:55

almost impossible to run therapy and

4:56

take the data at the same time. So then

4:58

we introduce a five minute interval

5:00

system for our data

5:03

collection. We have three different

5:04

types, partial, whole, and momentary

5:07

time

5:09

sampling. So we use it when there's

5:11

limited time or attention for

5:13

observation, when there's multiple

5:15

clients at once. So you need to when

5:17

behaviors occur at a high frequency, we

5:20

need a general trend. the exact count is

5:23

not as important. Partial interval

5:26

recording is the one you'll use most

5:28

often. Most people are taking partial

5:31

when they say, "I'm doing an interval

5:33

recording." Okay. So, you get to mark

5:36

yes if the behavior occurs at any point

5:39

in the interval. It doesn't matter if

5:42

it's a second, if it's the whole

5:43

interval, if it's half the interval.

5:46

It's always going to be yes if you see

5:48

the behavior. So the second you're in

5:52

your interval, let's just say we have

5:53

these five minute intervals and within 3

5:56

seconds you see behavior, you mark yes

5:58

and you're essentially done for the rest

6:01

of the interval. You don't need to

6:02

record anything cuz it's already a yes.

6:05

Whether they behave more or not isn't

6:08

going to change anything in that given

6:12

situation.

6:13

What partial unfortunately does is it

6:16

overestimates the frequency of the

6:18

behavior because you're marking yes in

6:20

this interval even if you see 1 second

6:22

of behavior. You get more yeses than you

6:26

would get nos and so it's an

6:28

overestimation of behavior. Keep that in

6:31

mind when you're choosing to use it.

6:33

It's really good for monitoring high

6:36

frequency behaviors to decrease. When

6:39

you have high frequency behaviors, you

6:41

probably want to mark partial. And so

6:43

you mark yes during partial. If you see

6:46

behavior at any point in the interval.

6:48

If you have a whole interval where you

6:50

see zero behavior, then you would mark a

6:52

no or an X. Check for yes, X for no.

6:57

Sometimes it's zero for no, and one for

6:59

yes. And sometimes it's just yes or no.

7:03

The strengths and weaknesses of this.

7:06

It's used for decreasing high frequency

7:08

behaviors. Interval recording is

7:10

efficient for capturing high frequency

7:13

behaviors like hitting or shouting. It

7:16

captures all occurrences within an

7:18

interval. Even if there's multiple

7:20

behaviors happening in one interval, the

7:23

interval recording will mark as one

7:25

occurrence. So that's how the

7:27

overestimation occurs and it's less

7:30

precise. If you took frequency, you

7:32

would capture that. It only happened

7:34

once, not within the 5 minute period.

7:38

You lose that data of once in a five

7:40

minute period with this. So that's how

7:42

it's overestimating and that's how

7:44

you're losing data. That's why this is

7:46

discontinuous. Well, just doing a

7:48

frequency count would be considered

7:51

continuous. So here's some good

7:53

behaviors to use for partial interval.

7:56

It's really good to take tantrums can

7:59

really work on this one. Self-injury,

8:02

aggression, property destruction,

8:04

disruptive vocalizations, those can be

8:06

very high frequency behaviors. Whole

8:09

interval recording. So whole interval,

8:11

it's the same data sheet. Those data

8:13

sheets I showed you, you could use it

8:15

for any of these. You divide your

8:17

intervals into some sort of standard

8:20

time period. 10 seconds, 20 seconds, 30

8:23

seconds, 1 minute, 5 minutes, 10

8:25

minutes.

8:26

And then you're going to mark yes if the

8:28

behavior occurs through the entire

8:31

interval. If the behavior stops at any

8:34

moment, it's a no. This underestimates

8:38

behavior. An example of this, if the

8:40

behavior occurs through the whole

8:42

interval, you mark yes. And if it stops,

8:44

so if you're watching the behavior for a

8:46

couple, it's a 5-minute interval and you

8:49

the behavior is going going and you're

8:52

waiting, is this hole? Is this a yes? Is

8:53

this a yes? and then it stops for 1

8:55

second, you write no and you're done.

8:57

Even if the behavior starts up again,

9:00

you're still done. So that's how it

9:02

could save time with this one. You want

9:05

to mark yes if it occurs the whole

9:08

interval without stopping. And then if

9:10

it stops at any moment or if you see no

9:12

behavior, it's a no. The second you see

9:15

the behavior stop, you're done with that

9:17

interval. Essentially, if you're, you

9:20

know, at the very start of the interval,

9:21

it's a no. even if the behavior starts 2

9:24

seconds

9:25

after. So that's how it underestimates

9:28

behavior. So you're even though you

9:30

might most of the interval they engaged

9:33

in behavior and the two last seconds

9:35

they did not engage in behavior, you're

9:37

going to mark that as a no, it's an

9:38

underestimation of how much the behavior

9:41

is occurring.

9:44

So whole

9:46

interval strengths and weaknesses when

9:48

you want to increase behaviors it's the

9:51

off can be the better choice. It's

9:53

really good for behaviors you want to

9:55

see very long like staying on task. It

9:58

shows sustained engagement. It can show

10:01

participation in positive behaviors.

10:03

It's a focus on the duration. Partial is

10:06

more of a focus on frequency and it's

10:08

suited for really long behaviors.

10:13

So you might these are things that you

10:14

might want to use whole for sitting in

10:18

sitting in seat during class. So staying

10:20

focused on the assigned work on task

10:22

behavior. Use this as on task behavior.

10:25

Group participation staying attentant

10:27

and participating in group activities.

10:30

And then walking in line appropriately

10:33

lining up and walking with the class in

10:35

a quiet and orderly manner. Momentary

10:37

time sampling is our last one. It's my

10:40

favorite. It is also the least precise,

10:43

but it is my favorite. This one's the

10:45

easiest for me. When I do school

10:48

psychology assessment, part of the law

10:50

for assessment is that no matter what,

10:53

even if you're looking at a learning

10:54

disability, you still have to observe

10:56

the child. Learning disabilities, we

10:59

determine a kid has a learning

11:01

disability through mainly large scale

11:05

uh measures. Normative testing is when

11:08

you're comparing them to a group

11:11

representative of the whole United

11:12

States. So you look at their processing,

11:14

their cognitive ability, different

11:16

things, and you say yes, their

11:18

processing is low enough to qualify for

11:20

a learning disability. So though the

11:23

classroom observation is really

11:25

important for

11:26

any child in psychoed assessment because

11:30

it helps us develop goals and shows us

11:32

where they're functioning in the

11:34

classroom. it's not crucial to

11:36

eligibility for a learning disability,

11:39

but so I use this because this gives me

11:41

the best information about the child and

11:44

I usually do on task behavior. So it's

11:47

kind of allows me to rule out ADHD

11:50

because ADHD and learning disabilities

11:52

are comorbid. They often are tied

11:55

together. But you can use it for lots of

11:57

things. I also use it when I need group

11:59

data. You pick a certain time within the

12:02

interval and you don't change that. For

12:05

example, if you're doing a 10 second

12:07

interval, you might choose the last two

12:09

seconds. It gets that seconds gets

12:12

bigger as an interval gets bigger. So 10

12:14

seconds, I would look at the last 2

12:16

seconds of the 10-second interval. For

12:19

if I was looking at 30 seconds, I would

12:21

look at 3 seconds. If I was looking at a

12:23

minute, I might look at the last 4

12:25

seconds. So you look at the set time.

12:28

So, you don't have to do anything until

12:30

that set time. So, you're watching your

12:32

clock and you get down to you're doing

12:34

10-second interval between um 7 and 9 or

12:38

8 and 10. It just depends on how you're

12:40

going to write your intervals. You look

12:41

up at the child or the person you're

12:44

observing. If they're engaged in the

12:45

behavior, it's a yes. If they're not

12:47

engaged, it's a no. So, you do not have

12:50

to look at them for the rest of the

12:51

intervals. When I need teachers to take

12:54

data, this is what I give them. And I

12:56

give them like a 5-minute interval. So

12:57

every 5 minutes their phone goes off and

12:59

they look at the child and mark yes or

13:01

no for behavior occurring. It's very

13:03

easy for them to do an hour a day or so

13:07

and it gives me a sampling of what's

13:09

going on. Mark yes if the behavior is

13:11

happening and no if it's not within that

13:14

um specific moment. This can under or

13:17

overestimate. It just depends. You're

13:18

like sampling the smallest amount of

13:20

time for whether behavior is occurring.

13:22

So, it's the least precise of all the

13:24

different types of data collection we're

13:27

talking about. This is so easy to use

13:30

while multitasking. I use I often for on

13:34

task, off task, there's a whole app

13:35

called Boss that has this all built in

13:38

and then it makes you a fun little chart

13:40

and stuff. And they also have sensory

13:43

behaviors in there. It's a really cool

13:45

app that I highly encourage you to look

13:48

at. It does cost I think like $25, but

13:50

that's lifetime. So you get it forever.

13:53

It's so much less time consuming

13:55

whenever I have a lot of stuff going on.

13:57

Doesn't require watching the entire

14:00

interval. So you can do other things

14:02

during the intervals. You know, with a

14:04

10-second interval, it is easier than

14:07

doing other types. But um you can't do a

14:10

lot. Oh, you can take ABC data really

14:13

easily. Even if you have a 10-second

14:15

interval, if you have a long interval,

14:16

you can definitely do lots of other

14:18

things while waiting for your timer to

14:20

go off. Works well in really busy

14:23

environments where there's lots of

14:24

people, lots of things going on. And

14:26

then the best part about this is you can

14:28

do group. So, especially with research,

14:30

this is how I take group data. I do a

14:32

lot of on task behavior for a full

14:34

class. I've done up to 15 kids. It takes

14:37

some time to be that good at this, but

14:40

essentially just give yourself two

14:42

seconds for each child. And so if you

14:45

want to look at 10 10 kids, then make a

14:47

20 second interval. So you just label

14:50

them however they're sitting. I try to

14:52

put them in that row in that space. You

14:54

can probably do five if they're moving

14:56

around. You just go like student A, like

15:00

Emily. Emily, is she engaging or not?

15:02

Yes or no? And then you move to Tom. Is

15:04

he engaging or not? Yes or no? Every two

15:06

seconds you take data on each student.

15:08

Then it recycles. Is Emily engaging in

15:10

behavior? Is Tom? It's perfect for

15:12

looking at onas behavior for a whole

15:14

class. And so that's how you do group.

15:16

You could do if they're moving around

15:18

during recess, you could probably

15:20

do like maybe five or four, but you have

15:24

to go find the kid. You have to track

15:25

the kid with your eyes each time. So if

15:27

they're moving around, you need to look

15:30

at less kids.

15:32

So, you want to use it for on task work

15:34

during independent work. Participation

15:36

in group activities is great. Engagement

15:39

with the materials is great when they're

15:41

using iPads or learning resources. This

15:44

is a sample of an actual data sheet for

15:49

interval recording. So, it's on task

15:51

behavior. We're looking at teacher.

15:53

These are the behaviors that you're

15:55

saying yes to. Looking at teacher while

15:57

she's talking, talking to teacher or

15:58

looking at assignments. So, anything

16:00

else would be a no. That's clear. They

16:02

didn't put whether it's partial, whole,

16:04

or momentary here, but you would write

16:07

that down. Like, I'm taking partial or

16:08

whole. You're doing a 1 minute interval,

16:12

and you have 10 minutes total. So, 1 2 3

16:15

4 5 6 7 8 9 10. And this is how we

16:18

calculate the data. So, you can see that

16:20

first interval, we'll just say, let's

16:22

say she took partial. The behavior did

16:24

not occur during the entire interval.

16:27

Now, in the second interval, she saw

16:30

behavior at some point in that one

16:31

minute period. We don't know if she saw

16:33

it most of the 1 minute period, half of

16:35

the one minute period or what, but we

16:37

know she saw something. The observer.

16:40

Third minute, we saw something. Fourth

16:42

minute, we saw some behavior. Five,

16:44

there was no behavior. Six, we saw some

16:47

behavior. Seven, we saw no behavior.

16:50

Eight, we saw some behavior. Again,

16:52

could be a second, could be the whole

16:53

interval. Nine, we saw some behavior.

16:55

and 10 we saw no behavior. How you

16:59

calculate or talk about these interval

17:01

systems is you count how many pluses you

17:05

have over the total intervals. We have

17:08

six pluses. So six times we saw a

17:10

behavior during an interval and we have

17:12

10 intervals. So it's 6 / 10 and you

17:16

multiply that by 100 to get your

17:19

percentage. So the student was on task

17:22

six out of 10 intervals. So 60% of the

17:24

time when you come back tomorrow if you

17:27

start your intervention you do exactly

17:29

this and we can compare that 60% to the

17:32

new percentage to see if the

17:35

intervention is

17:36

working. This is a chart that breaks it

17:39

down for you. Poll is record if behavior

17:42

occurs at any time for the entire

17:45

interval. It's great for increasing

17:47

behavior show substain substained

17:49

engagement. So if you want to see really

17:51

long engagement, you might choose this.

17:54

It underestimates behavior and it's not

17:56

ideal for brief or infrequent behaviors.

17:59

And then partial record if behavior

18:01

occurs at any point during the interval.

18:03

It's good for reducing behaviors,

18:06

efficient for high frequency behaviors,

18:08

and does not show duration at all.

18:11

Momentary time sampling. Record if the

18:13

behavior occurs at any moment at the end

18:15

of the interval or throughout. Easy

18:18

while multitasking. less time consuming

18:20

and great for groups and it may miss

18:23

behavior between checks and can over or

18:26

underestimate behavior. Okay, thank you.

18:28

I'll see you next video.

UNLOCK MORE

Sign up free to access premium features

INTERACTIVE VIEWER

Watch the video with synced subtitles, adjustable overlay, and full playback control.

SIGN UP FREE TO UNLOCK

AI SUMMARY

Get an instant AI-generated summary of the video content, key points, and takeaways.

SIGN UP FREE TO UNLOCK

TRANSLATE

Translate the transcript to 100+ languages with one click. Download in any format.

SIGN UP FREE TO UNLOCK

MIND MAP

Visualize the transcript as an interactive mind map. Understand structure at a glance.

SIGN UP FREE TO UNLOCK

CHAT WITH TRANSCRIPT

Ask questions about the video content. Get answers powered by AI directly from the transcript.

SIGN UP FREE TO UNLOCK

GET MORE FROM YOUR TRANSCRIPTS

Sign up for free and unlock interactive viewer, AI summaries, translations, mind maps, and more. No credit card required.