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Mid-Career Faculty - Trends, Barriers, and Possibilities (Hardcover): Anita G Welch, Jocelyn Bolin, Daniel Reardon Mid-Career Faculty - Trends, Barriers, and Possibilities (Hardcover)
Anita G Welch, Jocelyn Bolin, Daniel Reardon
R3,781 Discovery Miles 37 810 Ships in 18 - 22 working days

At a time when higher education institutions in the United States are the subject of increased media scrutiny and nearly continuous loss of funding by resource-strapped state legislatures, a greater understanding of higher education's bulwark resource-mid-career research and teaching faculty-is more important than ever. Faculty at mid-career comprise the largest segment of academia. For some, this is a time of significant productivity and creativity, yet for others, it is a time of disillusionment and stagnation. Revealing impediments and pathways to faculty job satisfaction and productivity will strengthen higher education institutions by protecting, fostering, and maintaining this vital workforce. In this collection we will explore the lives of mid-career faculty as our authors uncover the complexities in this stage of professional life and discuss support systems for the transition into this period of faculties' academic careers. Mid-Career Faculty: Trends, Barriers, and Possibilities is designed for faculty leaders, administration, policymakers, and anyone concerned with the future of higher education. This text offers an examination into an often overlooked period of academic life, that of post-tenure mid-career faculty. Therefore, the aim of this text is to deepen our understanding of the lives of mid-career faculty, to identify barriers that impede job advancement and satisfaction, and to offer suggestions for changes to current policy and practice in higher education. Contributors are: Joyce Alexander, Michael Bernard-Donals, Pradeep Bhardwaj, Kimberly Buch, Javier Cavazos, Jay R. Dee, Anne M. DeFelippo, Andrea Dulin, Jeremiah Fisk, Carrie Graham, Debbie L. Hahs-Vaughn, Florencio Eloy Hernandez, Yvette Huet, Jane McLeod, Jennifer McGarry, Maria L. Morales, Eliza Pavalko, Laura Plummer, Mandy Rispoli, Amanda J. Rockinson-Szapkiw, J. Blake Scott, Michael Terwillegar, Jenna Thomas and Claudia Vela.

Mid-Career Faculty - Trends, Barriers, and Possibilities (Paperback): Anita G Welch, Jocelyn Bolin, Daniel Reardon Mid-Career Faculty - Trends, Barriers, and Possibilities (Paperback)
Anita G Welch, Jocelyn Bolin, Daniel Reardon
R1,476 Discovery Miles 14 760 Ships in 18 - 22 working days

At a time when higher education institutions in the United States are the subject of increased media scrutiny and nearly continuous loss of funding by resource-strapped state legislatures, a greater understanding of higher education's bulwark resource-mid-career research and teaching faculty-is more important than ever. Faculty at mid-career comprise the largest segment of academia. For some, this is a time of significant productivity and creativity, yet for others, it is a time of disillusionment and stagnation. Revealing impediments and pathways to faculty job satisfaction and productivity will strengthen higher education institutions by protecting, fostering, and maintaining this vital workforce. In this collection we will explore the lives of mid-career faculty as our authors uncover the complexities in this stage of professional life and discuss support systems for the transition into this period of faculties' academic careers. Mid-Career Faculty: Trends, Barriers, and Possibilities is designed for faculty leaders, administration, policymakers, and anyone concerned with the future of higher education. This text offers an examination into an often overlooked period of academic life, that of post-tenure mid-career faculty. Therefore, the aim of this text is to deepen our understanding of the lives of mid-career faculty, to identify barriers that impede job advancement and satisfaction, and to offer suggestions for changes to current policy and practice in higher education. Contributors are: Joyce Alexander, Michael Bernard-Donals, Pradeep Bhardwaj, Kimberly Buch, Javier Cavazos, Jay R. Dee, Anne M. DeFelippo, Andrea Dulin, Jeremiah Fisk, Carrie Graham, Debbie L. Hahs-Vaughn, Florencio Eloy Hernandez, Yvette Huet, Jane McLeod, Jennifer McGarry, Maria L. Morales, Eliza Pavalko, Laura Plummer, Mandy Rispoli, Amanda J. Rockinson-Szapkiw, J. Blake Scott, Michael Terwillegar, Jenna Thomas and Claudia Vela.

Multilevel Modeling Using Mplus (Paperback): Holmes Finch, Jocelyn Bolin Multilevel Modeling Using Mplus (Paperback)
Holmes Finch, Jocelyn Bolin
R1,819 Discovery Miles 18 190 Ships in 10 - 15 working days

This book is designed primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling component. The focus is on presenting the theory and practice of major multilevel modelling techniques in a variety of contexts, using Mplus as the software tool, and demonstrating the various functions available for these analyses in Mplus, which is widely used by researchers in various fields, including most of the social sciences. In particular, Mplus offers users a wide array of tools for latent variable modelling, including for multilevel data.

Multilevel Modeling Using Mplus (Hardcover): Holmes Finch, Jocelyn Bolin Multilevel Modeling Using Mplus (Hardcover)
Holmes Finch, Jocelyn Bolin
R5,782 Discovery Miles 57 820 Ships in 10 - 15 working days

This book is designed primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling component. The focus is on presenting the theory and practice of major multilevel modelling techniques in a variety of contexts, using Mplus as the software tool, and demonstrating the various functions available for these analyses in Mplus, which is widely used by researchers in various fields, including most of the social sciences. In particular, Mplus offers users a wide array of tools for latent variable modelling, including for multilevel data.

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