Data Collection Fatigue…

I am leaving the library very shortly because I am connecting with a girlfriend for coffee.  I feel a tad guilty because I had a late start to my stint at the library and am now departing early!!  That said, I am going to “cut myself some slack” because I have been quite fatigued of late.  I completely underestimated how much effort has been required to juggle data collection, work, and recent family issues.  It goes without saying that I am very excited about an upcoming week of vacation in the sun.  I will bring my iPad just in case I need to find out the best bar for cocktails on the beach, but there are definitely no plans to do any research or work!

Over the past week I completed a significant home office clean up and have enjoyed reading Marshall Goldsmith’s “What got you here, won’t get you there!”  I hope that I have written the title correctly.  I recently received the book as a gift and it has been interesting reflecting on my own leadership style as I read it.  I think that I definitely suffer from “Adding too much value”, but I plan to check with my team to see what they think. 

I started the day by reading an interesting paper on Women and Leadership that my supervisor forwarded to me.  I then updated my Master Spreadsheet so that the survey completion data is accurate.  Additional tasks included updating my existing project plan and creating a plan for the week ahead.  I hope to create a more detailed plan for the next 3 months before I depart for my vacation.

This will sound cheesy,  or perhaps appropriate for a researcher, but I am really excited about digging into the data.  I scanned the responses to some of the open ended questions and already see some interesting themes around time management,a topic not often addressed in leadership development programs that I have seen, as well as an interest in both delivering and receiving more coaching.  I think that I may add a “journal component” to my data analysis to capture what I am thinking/feeling/learning as I complete the analysis.  This may be especially useful because I am curious to see how the data compares with my knowledge and experiences as a practitioner.

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