Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 3 |
Descriptor
Author
| Berenson, Mark | 1 |
| Bullens, Jessie | 1 |
| Johnson, Marina E. | 1 |
| Klugkist, Irene | 1 |
| Kubsch, Marcus | 1 |
| Misra, Ram | 1 |
| Neumann, Knut | 1 |
| Parchmann, Ilka | 1 |
| Stamer, Insa | 1 |
| Steiner, Mara | 1 |
| van Wesel, Floryt | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Guides - Classroom - Teacher | 1 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 2 |
| High Schools | 1 |
| Secondary Education | 1 |
Location
| Germany | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Johnson, Marina E.; Misra, Ram; Berenson, Mark – Decision Sciences Journal of Innovative Education, 2022
In the era of artificial intelligence (AI), big data (BD), and digital transformation (DT), analytics students should gain the ability to solve business problems by integrating various methods. This teaching brief illustrates how two such methods--Bayesian analysis and Markov chains--can be combined to enhance student learning using the Analytics…
Descriptors: Bayesian Statistics, Programming Languages, Artificial Intelligence, Data Analysis
Kubsch, Marcus; Stamer, Insa; Steiner, Mara; Neumann, Knut; Parchmann, Ilka – Practical Assessment, Research & Evaluation, 2021
In light of the replication crisis in psychology, null-hypothesis significance testing (NHST) and "p"-values have been heavily criticized and various alternatives have been proposed, ranging from slight modifications of the current paradigm to banning "p"-values from journals. Since the physics education research community…
Descriptors: Data Analysis, Bayesian Statistics, Educational Research, Science Education
Klugkist, Irene; van Wesel, Floryt; Bullens, Jessie – International Journal of Behavioral Development, 2011
Null hypothesis testing (NHT) is the most commonly used tool in empirical psychological research even though it has several known limitations. It is argued that since the hypotheses evaluated with NHT do not reflect the research-question or theory of the researchers, conclusions from NHT must be formulated with great modesty, that is, they cannot…
Descriptors: Psychological Studies, Hypothesis Testing, Researchers, Evaluation Methods

Peer reviewed
Direct link
