scholarly journals The Relationship between Administrative Intensity and Student Retention and Success: A Three-Year Study

2018 ◽  
Vol 8 (4) ◽  
pp. 159 ◽  
Author(s):  
Kerry Romine ◽  
Rose Baker ◽  
Karla Romine

Through the lens of complexity theory and by utilizing the methodological framework set forth in Gander’s 1999 article regarding internal and external organizational elements of administrative intensity, this secondary data analysis study linked the internal organizational elements of administrative intensity to institutional results as evidenced by higher education student retention and graduation rates. Representing institutional investments, efforts, and outcomes from 2004 to 2014, three years of data reporting were gathered from the Integrated Postsecondary Education Data Set (IPEDS) and were then cleaned per secondary data analysis techniques. Using canonical correlation analysis, the internal elements of administrative intensity were correlated with student retention and success. Findings indicate the relationships of internal elements of higher education institutions on student retention and success, which was measured by four-year, six-year, and eight-year graduation rates. The discussion includes education policy implications.

Author(s):  
Natasha Shaukat ◽  
Meesha Iqbal ◽  
Muhammad Arslan Khan

Background: Endemicity of intimate partner violence (IPV) against women is established globally. Children are directly dependent on mothers for care and nourishment. Literature has shown inconsistent association between IPV and nutritional status of children, and no nationwide study has been conducted in Pakistan to test this association. Thus, we aimed to do a secondary data analysis on Pakistan Demographic Health Survey (PDHS 2012-13) to explore the association of IPV and the nutritional status of children.Methods: This secondary data analysis was conducted on nationally representative data of PDHS 2012-13. All four provinces, including Islamabad Capital Territory and Gilgit Baltistan districts were taken, and two stage stratified random sampling was performed. The conflict tactics scale (CTS) was used to quantify Intimate Partner Violence (IPV), and its emotional and physical dimensions.Results: This study included mother-child dyads (n=1851) who completed the domestic violence module in PDHS. The lifetime prevalence of intimate partner violence was almost 40% among married women of reproductive age group. About 20% of women reported emotional violence and 2.5% women reported physical violence only. However, 16% of the women reported having suffered from both emotional and physical violence. Women who suffered from emotional violence had children with significantly higher odds of being underweight (OR, 95% CI: 1.57, 1.04-2.36) and stunted (OR, 95% CI: 1.54, 1.05-2.24) respectively. IPV was not found to be significantly associated with occurrence of wasting in children.Conclusions: Policy implications towards this issue call for establishing programmes and laws to protect women and children from the detrimental effects of violence. Provision of initiatives which focus on women autonomy and empowerment via increased access to education and economic opportunities.


2018 ◽  
Vol 50 (3) ◽  
pp. 322-331 ◽  
Author(s):  
Leanne Bowler ◽  
Heidi Julien ◽  
Leslie Haddon

This paper examines issues associated with secondary analysis of qualitative data and their implications for information behaviour scholarship. Secondary data analysis poses a range of potential challenges for data creators, but also opportunities, including the ability to expand theory to a wider context, strengthen the reliability and validity of existing theory, gain access to populations that may be difficult to access, and to promote data archiving. The paper uses as a case study of secondary data analysis the results from our re-examination of data gathered previously in the European Union project Net Children Go Mobile, drawing from the interview transcripts from the 34 children in the UK data set. Our approach to secondary analysis was reanalysis, applying a new interpretive lens to the data that necessitated new questions in order to reveal hidden layers in the data. The data was analysed for evidence of information behaviour in order to understand how mobile technologies may be changing the way that young people seek and use information. The reanalysis of the data set supported existing models of information behaviour but revealed new ways of information seeking based on the affordances of screen size and data plans.


2018 ◽  
Vol 7 (2.29) ◽  
pp. 519 ◽  
Author(s):  
Aini Najwa Azmi ◽  
Yusri Kamin ◽  
Muhammad Khair Noordin

Recently, universities keep receiving complaints from the industries regarding the capability of engineering graduates when starting their new job. The complaints were always about the inability of the engineering graduates to adapt in the industry. This is due to minimum exposure of industrial training period given by university to them. As a result, most of fresh engineering graduates do not have enough industry experience that is demanded by industry. Worse case, there is mismatching skill during industrial training which not relevance to what they are studied before. This problem contributes to unemployment issue among engineering fresh graduates. The purpose of this paper is to review and analyse about the engineering competencies from all over the world. The paper is written on extensive secondary data analysis. It is revealed that the criteria needed by employers from most developed countries are almost similar. Based on summary, technical and non-technical skills are both important to become a competent engineer. There are some recommendations to develop and improve both technical and non-technical skills that can be emphasized by authorities of higher education especially in Malaysia.  


2009 ◽  
Vol 23 (3) ◽  
pp. 203-215 ◽  
Author(s):  
Daniel M. Doolan ◽  
Erika S. Froelicher

The vast majority of the research methods literature assumes that the researcher designs the study subsequent to determining research questions. This assumption is not met for the many researchers involved in secondary data analysis. Researchers doing secondary data analysis need not only understand research concepts related to designing a new study, but additionally must be aware of challenges specific to conducting research using an existing data set. Techniques are discussed to determine if secondary data analysis is appropriate. Suggestions are offered on how to best identify, obtain, and evaluate a data set; refine research questions; manage data; calculate power; and report results. Examples from nursing research are provided. If an existing data set is suitable for answering a new research question, then a secondary analysis is preferable since it can be completed in less time, for less money, and with far lower risks to subjects. The researcher must carefully consider if the existing data set’s available power and data quality are adequate to answer the proposed research questions.


2021 ◽  
pp. 107780122110139
Author(s):  
Jodie Murphy-Oikonen ◽  
Lori Chambers ◽  
Karen McQueen ◽  
Alexa Hiebert ◽  
Ainsley Miller

Rates of sexual victimization among Indigenous women are 3 times higher when compared with non-Indigenous women. The purpose of this secondary data analysis was to explore the experiences and recommendations of Indigenous women who reported sexual assault to the police and were not believed. This qualitative study of the experiences of 11 Indigenous women reflects four themes. The women experienced (a) victimization across the lifespan, (b) violent sexual assault, (c) dismissal by police, and (d) survival and resilience. These women were determined to voice their experience and make recommendations for change in the way police respond to sexual assault.


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