PC 용 Preference Assessment

호환되는 PC 앱 또는 대안 확인

소프트웨어	다운로드	평점	개발자
Preference Assessment	PC 앱 받기	/5 0 리뷰	Touch Autism

1 : Windows 용 Android 소프트웨어 에뮬레이터 다운로드

에뮬레이터의 중요성은 컴퓨터에서 안드로이드 환경을 흉내 내고 안드로이드 폰을 구입하지 않고도 안드로이드 앱을 설치하고 실행하는 것을 매우 쉽게 만들어주는 것입니다. 누가 당신이 두 세계를 즐길 수 없다고 말합니까? 우선 아래에있는 에뮬레이터 앱을 다운로드 할 수 있습니다.
A. Nox App . OR
B. Bluestacks App .
Bluestacks는 매우 대중적이므로 개인적으로 "B"옵션을 사용하는 것이 좋습니다. 문제가 발생하면 Google 또는 Naver.com에서 좋은 해결책을 찾을 수 있습니다. 

2 : 이제 Windows PC에 소프트웨어 에뮬레이터 설치

Bluestacks.exe 또는 Nox.exe를 성공적으로 다운로드 한 경우 컴퓨터의 다운로드 폴더 또는 다운로드 한 파일을 일반적으로 저장하는 곳으로 이동하십시오.
찾으면 클릭하여 응용 프로그램을 설치하십시오. PC에서 설치 프로세스를 시작해야합니다.
다음을 클릭하여 EULA 라이센스 계약에 동의하십시오.
응용 프로그램을 설치하려면 화면 지시문을 따르십시오.
위 사항을 올바르게 수행하면 소프트웨어가 성공적으로 설치됩니다.

3 : Windows PC 용 Preference Assessment 사용 방법 - Windows 7/10/11

이제 설치 한 에뮬레이터 애플리케이션을 열고 검색 창을 찾으십시오. 지금 입력하십시오. - Preference Assessment 앱을 쉽게 볼 수 있습니다. 그것을 클릭하십시오. 응용 프로그램 창이 열리고 에뮬레이터 소프트웨어에 응용 프로그램이 표시됩니다. 설치 버튼을 누르면 응용 프로그램이 다운로드되기 시작합니다. 이제 우리는 모두 끝났습니다.
그런 다음 "모든 앱"아이콘이 표시됩니다.
클릭하면 설치된 모든 응용 프로그램이 포함 된 페이지로 이동합니다.
당신은 Preference Assessment 상. 그것을 클릭하고 응용 프로그램 사용을 시작하십시오.

Mac OS 에서 Preference Assessment 다운로드

개발자 설명

This Preference (Reinforcer) Assessment app was designed by a BCBA (board certified behavior analyst) to make running a preference (reinforcer) assessment amazingly easy to do, so that anyone can effectively and scientifically determine their child’s or client’s preferences. This app includes such features as descriptions of all of the types of preference assessments, a timer to determine the end of a trial, a timer to indicate how long each item is engaged with, the ability to assign a color to each item, the ability to customize each assessment type and specific instructions and visuals to help you set up and run the assessment. Once the assessment is finished the app will automatically calculate the percentage of times each item was selected in which it was available, and will present this info in an easy to read bar graph. The data and graph from each client will be saved on the app, so that the user can easily review results from past assessments. Reinforcement (Preference) Assessments are an incredibly important procedure in any behavior change program. They are not conducted nearly as often as they should be because they can be difficult to run, or because many parents, caregivers or practitioners have not been sufficiently trained to run them. A preference, or reinforcer assessment is one of the key components of a BIP (behavior intervention plan) or FBA (functional behavior assessment). To effectively strengthen a target behavior a caregiver must know which items or activities will act as the strongest reinforcers. Additionally, research has shown that caregiver and even self-report are not always the best indicators of actual preferences. Preferences, or suitability of different reinforcers often shift over time, so it’s imperative to continually perform preference assessments to make sure the stimuli you are using are still acting as effective reinforcers. Studies have shown that parents and caregivers opinions or beliefs of what a client/child prefers are often not as reliable as the results from a systematic preference assessment. Specifically one study found a near zero correlation to what was chosen via a preference assessment and what was predicted by caregivers (Green, Reid, White, Halford, Brittain, & Gardner 1988). Additionally a study conducted with nine preschoolers with developmental disabilities found that systematic assessment identified more effective reinforcers than the teacher survey (Cote, Thompson, Hanley, & McKerchar 2007). In summation, it was been repeatedly shown that the correlation between what parents/caregivers think is a reinforcer and what actually functions as a reinforcer is near zero for some individuals. This app is based on the principles of a scientific preference assessment as described in the 1996 article published in the Journal of Applied Behavior Analysis by DeLeon, I. G., & Iwata, B. A. “Evaluation of a multiple stimulus presentation format for assessing reinforcer preferences” 29, 519-533.