Do cross-sectional student assessment data make a reasonable proxy for longitudinal data?

2013 ◽  
Vol 38 (8) ◽  
pp. 957-967 ◽  
Author(s):  
Mantz Yorke ◽  
Elena Zaitseva
Keyword(s):  
Longitudinal Data ◽  
Student Assessment ◽  
Assessment Data ◽  
Cross Sectional

scholarly journals E-bike user groups and substitution effects: evidence from longitudinal travel data in the Netherlands

2021 ◽  
Author(s):  
Mathijs de Haas ◽  
Maarten Kroesen ◽  
Caspar Chorus ◽  
Sascha Hoogendoorn-Lanser ◽  
Serge Hoogendoorn
Keyword(s):  
The Netherlands ◽  
Longitudinal Data ◽  
Latent Class ◽  
Good Alternative ◽  
Substitution Effects ◽  
Or Education ◽  
Cross Sectional ◽  
User Groups ◽  
Using Data ◽  
Mode Of Transport

AbstractIn recent years, the e-bike has become increasingly popular in many European countries. With higher speeds and less effort needed, the e-bike is a promising mode of transport to many, and it is considered a good alternative for certain car trips by policy-makers and planners. A major limitation of many studies that investigate such substitution effects of the e-bike, is their reliance on cross-sectional data which do not allow an assessment of within-person travel mode changes. As a consequence, there is currently no consensus about the e-bike’s potential to replace car trips. Furthermore, there has been little research focusing on heterogeneity among e-bike users. In this respect, it is likely that different groups exist that use the e-bike for different reasons (e.g. leisure vs commute travel), something which will also influence possible substitution patterns. This paper contributes to the literature in two ways: (1) it presents a statistical analysis to assess the extent to which e-bike trips are substituting trips by other travel modes based on longitudinal data; (2) it reveals different user groups among the e-bike population. A Random Intercept Cross-Lagged Panel Model is estimated using five waves of data from the Netherlands Mobility Panel. Furthermore, a Latent Class Analysis is performed using data from the Dutch national travel survey. Results show that, when using longitudinal data, the substitution effects between e-bike and the competing travel modes of car and public transport are not as significant as reported in earlier research. In general, e-bike trips only significantly reduce conventional bicycle trips in the Netherlands, which can be regarded an unwanted effect from a policy-viewpoint. For commuting, the e-bike also substitutes car trips. Furthermore, results show that there are five different user groups with their own distinct behaviour patterns and socio-demographic characteristics. They also show that groups that use the e-bike primarily for commuting or education are growing at a much higher rate than groups that mainly use the e-bike for leisure and shopping purposes.

Component analysis in cross-sectional and longitudinal data

Psychometrika ◽  
1988 ◽  
Vol 53 (1) ◽  
pp. 123-134 ◽  
Author(s):  
Roger E. Millsap ◽  
William Meredith
Keyword(s):  
Longitudinal Data ◽  
Component Analysis ◽  
Cross Sectional

P3-132: Motivational reserve as risk factor in the development of mild cognitive impairment and Alzheimer's disease: Cross-sectional and longitudinal data

2009 ◽  
Vol 5 (4S_Part_13) ◽  
pp. P383-P383
Author(s):  
Simon Forstmeier ◽  
Michael Wagner ◽  
Wolfgang Maier ◽  
Hendrik Van Den Bussche ◽  
Birgitt Wiese ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Risk Factor ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Longitudinal Data ◽  
Cross Sectional

scholarly journals The managerial power impact on compensation – some further evidence

2005 ◽  
Vol 2 (3) ◽  
pp. 87-93 ◽  
Author(s):  
Tor Eriksson
Keyword(s):  
Longitudinal Data ◽  
Unobserved Heterogeneity ◽  
Individual Characteristics ◽  
Managerial Compensation ◽  
Compensating Wage Differentials ◽  
Direct Power ◽  
Cross Sectional ◽  
Compensation Model ◽  
Managerial Power ◽  
Alternative Measures

The aim of this paper is to test the managerial power hypothesis more rigorously than in previous studies by: testing it against the compensating wage differentials explanation, using both cross-sectional and longitudinal data, and adopting two alternative measures of managerial power; a frequently used indirect one, and a more direct power indicator. The results of analysis show that despite introducing individual characteristics, when using two or three alternative measures of managerial power and when estimating the managerial compensation model on cross-sectional as well as longitudinal data (the later allowing me to cater for unobserved heterogeneity), the power variables continue to obtain positive and statistically significant co-efficient estimates.

scholarly journals The Risk Analysis of Musculoskeletal Disorders in Pottery Making Workers in Kasongan, Bantul

2020 ◽  
Vol 9 (2) ◽  
pp. 605-611
Author(s):  
Caesar Zainur Barik ◽  
Liena Sofiana
Keyword(s):  
Sampling Techniques ◽  
Entire Body ◽  
Assessment Data ◽  
Cross Sectional ◽  
Work Activities ◽  
Work Posture ◽  
Musculoskeletal Problems ◽  
Body Map ◽  
Cross Sectional Design ◽  
Rapid Entire Body Assessment

Musculoskeletal problems are problematic in Indonesia because manual work activities such as lifting, transporting, pulling and pushing are still being done. Pottery-making workers in the Kasongan are still doing those moves traditionally such as lifting, transporting, pulling and pushing manually. The purpose of this study was to analyze the risk of MSDs in the pottery making workers in Kasongan. This research was cross sectional design. The sample amounted to 78 workers selected using accidental sampling techniques. The instruments used Nordic Body Map questionnaire and Rapid Entire Body Assessment. Data analysis was using the chi fisher test. The results showed that the variables associated were age (sig= 0.000) and variables that had no relationship were gender (sig= 0.341) and work posture (sig= 0.352). The risk factor associated with complaints of MSDs is age, so to reduce the risk of the occurrence of MSDs, they can do physical activity or stretch muscles.

scholarly journals Undergraduate Students’ Perception on Assessment Experience in a Malaysian Medical School: Comparison among Gender, Ethnicity and Phase of Study

2021 ◽  
Vol 20 (3) ◽  
Author(s):  
Siti Khadijah Adam ◽  
Nur Atiqah Mazlan ◽  
Shivaprakash Selvakumar ◽  
Xian Hui Teh ◽  
Faridah Idris
Keyword(s):  
Undergraduate Students ◽  
Learning Experience ◽  
Student Assessment ◽  
Cross Sectional Study ◽  
Undergraduate Medical Students ◽  
Cross Sectional ◽  
Surface Approach ◽  
Study Materials ◽  
Surface Approach To Learning ◽  
Assessment Environment

INTRODUCTION: It is a well-known fact that assessment influences learning and study behaviour. Assessment affects what and how students learn, either positive or negative learning behaviour. This study was aimed to determine students’ perceived assessment experience and the comparison among different gender, ethnicity, and phase of the study. MATERIALS AND METHODS: This is a cross-sectional study. Assessment Experience Questionnaire (AEQ) version 3.3 was distributed to 324 undergraduate medical students of Universiti Putra Malaysia. The AEQ score among different gender, ethnicity, and phase of the study was compared using independent t-test and one-way ANOVA. RESULTS: Female students were found to develop a surface approach to learning, learn new things from the assessment, and be satisfied more with the teaching compared to males. Chinese students tended to put higher effort into learning compared to Malay. Clinical students valued more the feedback received and had clearer goals and expectations for their work than preclinical students. However, preclinical students tended to put a higher quantity of effort, learn wider coverage of syllabus and develop a surface approach of learning than clinical students. The respondents commented that feedback is lacking and suggested having more feedback sessions with their teachers after assessment. CONCLUSION: There were different assessment experiences and learning found among different gender, race, and phase of the study. These may affect their academic performance and are probably due to the curriculum setting. Understanding student assessment experience and its impact helps the faculty to improve the assessment structure for a conducive assessment environment and meaningful learning experience for the students.

scholarly journals Protocol for PMA-Ethiopia: A new data source for cross-sectional and longitudinal data of reproductive, maternal, and newborn health

2020 ◽  
Vol 4 ◽  
pp. 126
Author(s):  
Linnea Zimmerman ◽  
Selam Desta ◽  
Mahari Yihdego ◽  
Ann Rogers ◽  
Ayanaw Amogne ◽  
...  
Keyword(s):  
Data Collection ◽  
Longitudinal Data ◽  
Newborn Health ◽  
Quality Data ◽  
Maternal And Newborn Health ◽  
Unique Contribution ◽  
Cross Sectional ◽  
Data Source ◽  
The Impact ◽  
Maternal And Newborn

Background: Performance Monitoring for Action Ethiopia (PMA-Ethiopia) is a survey project that builds on the PMA2020 and PMA Maternal and Newborn Health projects to generate timely and actionable data on a range of reproductive, maternal, and newborn health (RMNH) indicators using a combination of cross-sectional and longitudinal data collection.  Objectives: This manuscript 1) describes the protocol for PMA- Ethiopia, and 2) describes the measures included in PMA Ethiopia and research areas that may be of interest to RMNH stakeholders. Methods: Annual data on family planning are gathered from a nationally representative, cross-sectional survey of women age 15-49. Data on maternal and newborn health are gathered from a cohort of women who were pregnant or recently postpartum at the time of enrollment. Women are followed at 6-weeks, 6-months, and 1-year to understand health seeking behavior, utilization, and quality. Data from service delivery points (SDPs) are gathered annually to assess service quality and availability.  Households and SDPs can be linked at the enumeration area level to improve estimates of effective coverage. Discussion: Data from PMA-Ethiopia will be available at www.pmadata.org.  PMA-Ethiopia is a unique data source that includes multiple, simultaneously fielded data collection activities.  Data are available partner dynamics, experience with contraceptive use, unintended pregnancy, empowerment, and detailed information on components of services that are not available from other large-scale surveys. Additionally, we highlight the unique contribution of PMA Ethiopia data in assessing the impact of coronavirus disease 2019 (COVID-19) on RMNH.

scholarly journals Designing and developing an app to perform Hofstee cut-off calculations

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 450
Author(s):  
Ken Masters ◽  
Nadia Al-Wardy
Keyword(s):  
Medical Education ◽  
Student Assessment ◽  
Education Student ◽  
Assessment Data ◽  
Traditional Methods ◽  
Android App

Determining a Hofstee cut-off point in medical education student assessment is problematic: traditional methods can be time-consuming, inaccurate, and inflexible.  To counter this, we developed a simple Android app that receives raw, unsorted student assessment data in .csv format, allows for multiple judges’ inputs, mean or median inputs, calculates the Hofstee cut-off mathematically, and outputs the results with other guiding information. The app contains a detailed description of its functionality.

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