My Doctoral Journey

Week 7, RES/710


The anticipation is insane! I am very excited to challenge my learning next week with the analysis of my own survey. I am eager to get on the road to Phoenix for residency. This week is full of positive anticipation. My peer’s responses played a vital role in my comprehension of the required readings, for that I am forever grateful. I am becoming more excited by the day to start developing my research, however with the excitement comes doubt, and I am starting to question my research question and focus. I have spent a lot of time in the library trying to see what other gaps can be identified. Then I start researching that topic for a while, considering the supportive research and similar studies. I feel excited, stressed, over and underwhelmed.

I am finding more confidence in the SPSS program and my ability to understand the statistical output. I noticed about half way through the week, I was developing the ability to make accurate assumptions of the data from the charts and tables. That was true in SPSS, but also in research papers, I was not reliant on the researcher’s explanation alone. Before that moment, I would require an open text book, notes, and a quiet area of study to decipher the information in the charts. I am excited to finally feel I am developing the ability to read the analytical output without extensive study.

I am capable of everything I put my mind too. Through scholarship, leadership, and practice I am learning to find balance in my experience and development.


I was very sick this week, so I had a lot more time to dedicate to study and research. I am proud of the time and practice I was able to gain this week. I have spent at least four days in relax mode, sipping warm tea, and reading text books. On a hilarious note, I had no voice this week. In fact, even still its little more than a sore and harsh whisper. So, the phone constantly ringing problem was completely solved. A personal lesson: My business is fine. Nothing exploded because I can’t speak… in fact everything ran smooth and seemed almost more effective over email.

So, this cold has allowed me to realize that I can step back when I need to for academics. I’d say it was a great week.


An area of interest and thinking out loud

I have found the articles on organizational research based in Police departments fascinating. It makes me wonder how long it takes organizations to adopt scientific inquiry based suggestions? Vito, Suresh, and Richards (2011) reported the evidence of their study strongly supported police management showing strong support for servant leadership over the autocratic and laissez-faire leadership styles, in the grand mean values. Shane (2010) had stated the position of officer was characterized as high demand and low control because of the authoritarian, military structure, and bureaucratic nature of the position. Both research studies appear to impress the need for positive change in the organizational policy in Police departments. I wonder when these studies will enact the positive change being requested?


Is there a gap that could be identified here? (thinking out loud).


Scientifically based research is loosely defined as systematic and empirical methods drawn from observation or experiment. Correctly implemented research will include: rigorous data analysis, reliable valid data, evaluated with comprehensive quasi-experimental or experimental designs, across studies by different investigators.


How many studies are required for a study to be considered scientifically supported? Ideas and thoughts are encouraged, although I am thinking out loud again.



Shane M. Jon (2010) Organizational stressors and police performance, 38, 807-818

Vito, G. F., Suresh, G., & Richards, G. E. (2011). Emphasizing the servant in public service: the opinions of police managers. Policing: An International Journal of Police Strategies & Management,34(4), 674-686. doi:10.1108/13639511111180270

My Doctoral Journey

2018 is Officially Here

Remember to move forward

I had one of the most profound epiphanies upon waking up in the new year. Today is January 1st, and as the Clock Struck 12 to reset the year and day, my mind opened to a grand reality. Sometimes there are moments in life that will cause you to stumble backwards. I’m not referring to a small change, I’m talking about those profound changes that are well beyond anyone’s control. If you follow my blog, you are more than aware that my last year was a learning year. One of those profound and uncontrollable moments had rocked my world. I was left staring at the ashes of my life. Perhaps I am more Phoenix that I ever wanted to acknowledge, because it took an entire year for my new to rise out of the pain. It took until the Clock Struck 12.


photo credit: @geralt, Pixabay

“It is okay that you went backwards. It is okay that in processing your experiences and  challenges, that you recluse. Just be sure to take time to reflect and grow from there.”

I don’t think that the problem is that we stumble backwards. I think it is the reality that once you take those devastating steps backward, it is hard to remember to move forward again.  The mind is always seeking comfort, stability, and acceptance…. It cements in place and forgets to walk forward again.

I think one of the greatest challenges in life is understanding once you stumbled backwards, that doesn’t mean you deserve to be there. It takes time for the person who fell to understand that it was simply a fall. It takes time for them to look around and understand that they are still worth fighting for.

My backwards movement was a shove. A low punch to my spiritual gut. It was a knife to my plans. It ripped me in half and left me wondering what the fuck just happened. My mom died, and I flew backwards.

I am talking about a real, deep, and dark depression state that seems to consume…

At the turn of the new year, I realized that in the morning my mom died I had been knocked back in my own life and progression. Perhaps these steps backwards were necessary for me to leap forward. That is how I see it.

I just want my message today to reach the person who needs to hear it. Whatever your reason for taking a step back, you’re Justified you took a step back! Now it’s time for you to remember that you are Dreamer, that you believe in yourself, and it’s time to start moving forward.

2018 I’m not making you any big promises, I believe this year will fulfill many promises to me. But with the new year, I will make a promise to myself, this year I’m going to concentrate all my energy on my own leadership development. I promise to become the best person that I can.

This year I am writing my own music and I am dancing to it every step of the way. I hope you join me.


My Doctoral Journey

Week 6, RES/ 710



I have two weeks left in this class and the entire journey has been an emotional roller coaster. I came into the class confident in my ability to perform well in statistics and by week three I was humbled to a confidence in my ability to learn quickly. As I wrap up my 6th week, I am so glad that Tokunaga (2016) provided multiple questions that provided the answers. This week I spent a lot of time trying to establish a habit or system for meeting the requirements of running the ANOVA. I would select a problem not required that provided the answer and work it until my output matched the reported output for the equation.

One of the things I found most impactful in my learning this week was the sentence structure for the hypothesis questions I was working, or reading about in the electronic reserved readings. The research is making more conceptual sense to me. I am understanding studies faster, in the readings. I am very interested in the research that frames the perfect question, and the importance of posing the right question.

I am noticing the profound impact the research can have on society in a more tangible way. As I read through the reserve readings this week, personal motivations were confirmed through research. Vito, Suresh, and Richards (2011) research supported an emphasis of servant leadership in public service, using five principles associated with servant leadership. An unexpected leadership trait was discovered to aid in effective teaching. Robertson-Kraft & Duckworth (2014) research found that the trait grit predicted both teacher retention and effectiveness.

I am humbled and committed to the dedication of a lifetime of learning and developing as a leader, a scholar, and a practitioner.

A win to the future of organizational health…. While discussing statistics I have noticed strong support for servant leadership from each of my peers and from mounting academic research. I believe in servant leadership and I practice it daily in my own life, work, and family.

In the study, Vito, Suresh, and Richards (2011) reported the findings of their analysis. The evidence strongly supported police management showing strong support for servant leadership over the autocratic and laissez-faire leadership styles, in the grand mean values (Vito, Suresh and Richards 2011). I believe that leaders, regardless of industry should reflect and encourage the values of servant leadership, however most particularly if in a public service sector. Vito, Suresh, and Richards (2011) stated that a clear preference was present in the reporting for leaders who look out for the staff, providing excellent communication for work expectations, and providing accountability.  2

What are your thoughts about leadership styles in use? What do you think the implications are for future organizational policy?



Robertson-Kraft, C., & Duckworth, A. L. (2014). True Grit: Trait-level Perseverance and Passion for Long-term Goals Predicts Effectiveness and Retention among Novice Teachers. Teachers College Record (1970), 116(3),

Tokunaga, H. (2016). Fundamental statistics for the social and behavioral sciences. Thousand Oaks, CA: Sage

Vito, G. F., Suresh, G., & Richards, G. E. (2011). Emphasizing the servant in public service: the opinions of police managers. Policing: An International Journal of Police Strategies & Management,34(4), 674-686. doi:10.1108/13639511111180270

My Doctoral Journey

Week 5, RES/710


I am dedicated to finding comfort in inferential statistics practice and application.

My entire week has been a major consideration toward over thought on my own part. This week’s assignment has been up on my computer for over four days. I took hours each day to run the SPSS programs, and try to compare the work with a calculator. It helps me if I understand the process. I know that in the end I got the first problem to work. I was so excited. After that, I decided to show both examples in my final paper. I am still not sure why, except to try to show my desire to understand. I will be devoting the remainder of my week next week to “feeling” knowledgeable in inferential statistics. I understood the errors better than I understand how to express the findings of the study. This week I am beat.

Tokunaga (2016) reminds us that we are expanding our understanding of the research process and in particular, the process of hypothesis testing. This becomes evident when I read the excellent application of statistics into the justice system. I really appreciate our peer discussions, because it helps me understand how to communicate the outcome of a test in a clear and concise manner.

This week has been the greatest challenge to date in this course. I am ready for Tuesday! I need time to reflect. Mondays always come with the pressure of being a due date, which is something I thought I had come to terms with and overcame, but this class has reignited the silly Master course anticipation of the impending Monday. On a silly note, we should encourage a UoP student horror film and name it, “Monday”. I’d buy it.

So, I am going to take some time to be honest about my struggles with inferential statistics. The explanations for statistical data output is very interesting for me and challenging to me. I spent a lot of time this week studying with Khan Academy. I have learned that as a researcher there are more meanings to the equations and data output. “Sal” the voice of Khan was showing entire statistical sentences being created with new symbols. I feel like I came into the class understanding the foundation of statistics and half way through realizing that I am learning a new language entirely. I want to understand the language. I want to be confident in the use of the language. This week, I feel more like a fish out of water.


Overall, I am ready to master SPSS. That seems like a theme for me and RES 710.

Well, I don’t want to complain, or sound lost for my reflection. So, I have learned so much this week. When deciding about a Null hypothesis for both the z-test and the t-test, it is important to remember the factors that affect the decision and to remember that to an extent they are within the control of the researcher. Tokunaga (2016) reminded me that, the three factors affecting the decision about the null hypothesis are sample size, alpha, and the directionality of the alternative hypothesis. When the sample size is greater, there is a higher chance of rejecting the null hypothesis (Tokunaga, 2016). The larger the value of alpha, the higher the chance of rejecting the null hypothesis, and when the alternative hypothesis is directional there is a higher chance of rejecting the null hypothesis when compared to a two-tailed (Tokunaga, 2016).



Tokunaga, H. (2016). Fundamental statistics for the social and behavioral sciences. Thousand Oaks, CA: Sage

My Doctoral Journey

RES/710 Week 3


Hello World! It is a bright and beautiful day on the Oregon coast, which is worth recording somewhere, because we are used to “grey days”. My applied statement this week is I believe in my ability to overcome every challenge that stands between me and my goals. This week I have been a superhero, impressing even myself! I really wanted to figure out the SPSS program, and I am not a pro after 3 weeks of study, but I am becoming more comfortable with the program. I spent my weekend this week studying the SPSS software. All the videos I watched last week really helped me to conquer the system.

This week I have been busy. I had to develop three new artist web pages and I am developing a business and marketing plan for a mutual fund company. Interestingly enough, my course readings make the review of the mutual fund company’s financial reporting and planning easier to understand. Additionally, I have found that SPSS is a great resource for a multitude of graphs and visual data. I am proud. I am exhausted. I am feeling prepared for week four and gear to get started.

My advice to students approaching this course, is to not consider it a ‘normal’ course. This is the most challenging course to date… and I do not say this to discourage you. Rather I hope it encourages you to touch up on your statistics and really spend time with Khan Academy prior to entering the course.


Are you already in the course and it is too late to pre-study, no worries, hit up the library. There are excellent resources and tutorials for IBMs SPSS program and how to accomplish the functions. Week 3 presents a real hurdle for some, but I believe in you and you can do this!

The focus this week will be the development of your survey, dispersion, and clean data.

In my learning I have been discussion the measures of dispersion a great deal this week.  The measures of dispersion are the range, variance, and standard deviation when discussing descriptive statistics. Hanneman, Kposowa, and Riddle (2013) had discussed how dispersion conceptually relates to the linguistic understanding of diversity, variability, and difference. The range, variance, and standard deviation are ways to help the researcher identify the spread of scores among a bunch of scores.

As an example, if we were describing the length of house cats in a small town, the researcher may want to identify how much variance exists in the length of cats. Maybe most cats are 15 inches and the second largest majority are around 21 inches.

Very similarly to central tendency, the range variance and standard deviation allow the researcher to summarize a bunch of numbers or just a few numbers, and possibly a singular number in a spread of scores. Hanneman, Kposowa, and Riddle (2013) reminds the researcher that all cases do not share similar scores and variance in scores can be expected. The dispersion data is used to create a better understanding for a selection of scores. This provides the researcher the ability to look further into the data provided them.



Hanneman, R. A., Kposowa, A. J., & Riddle, M. D. (2012). Basic statistics for social research (Vol. 38). John Wiley & Sons.