Do Military Command Information Newspapers Meet State Goals and Objectives They Claim to Advocate?

Department of Defense
Joint Course in Communication
University of Oklahoma -- Class 03A2

 

Table of Contents:

 

 

 

Authors:
Jessica Bailey, U. S. Navy
Marisol Cantu, U. S. Marine Corps
Sharon Chan, U. S. Navy
Masao Doi, U. S. Air Force Civilian
Robert Whetstone, U. S. Army

 

 

 

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In order to analyze the data, the researchers ran regression analyses. Regression analyses measure to what extent the independent variables – socio-demographics, including age, gender, marital status, rank, how long people have worked at Tinker, level of education – and base newspaper use impact the aforementioned dependent variables. Table 1 below is a synopsis of regression analyses the researchers ran using SPSS.

Table 2. Influence of Individual Variables on Dependent Measures

Dependent Measures Independent
Variables
Beta t Sig.
Recognition 1 Control Variables:      
  Age .003 .014
.989
  Sex .077 .684 .496
  Marital Status .127 1.003 .319
  Rank .462 2.018 .047
  Service -.027 -.214 .831
  Education -.127 -.613 .542
         
  Communication Variable:      
  Newspaper Use .103 .817 .417
         
Base Information Control Variables:      
  Age -.039 -.204 .839
  Sex -.094 -.807 .422
  Marital Status .076 .575 .567
  Rank .191 .798 .428
  Service .049 .374 .710
  Education .118 .543 .589
         
  Communication Variable:      
  Newspaper Use .051 .389 .698
         
USAF Information Control Variables:      
  Age -.055 -.285
.776
  Sex .041 .349 .728
  Marital Status -.051 -.384 .702
  Rank .023 .097 .923
  Service .187 1.404 .165
  Education .086 .391 .697
         
  Communication Variable:      
  Newspaper Use .026 .194 .847
         
Visual Rating Control Variables:      
  Age -.093 -.486 .628
  Sex -.028 -.239 .812
  Marital Status -.015 -.116 .908
  Rank .345 1.420 .160
  Service .011 .082 .935
  Education -.096 -.435 .665
         
  Communication Variable:
     
  Newspaper Use .115 .860 .393
         
Essential
Information
Control Variables:      
  Age -.104 -.497
.621
  Sex .019 .153 .879
  Marital Status .066 .471 .639
  Rank -.029 -.105 .917
  Service .200 1.521 .133
  Education .219 .926 .358
         
  Communication Variable:      
  Newspaper Use .359 2.606 .011
         
Recognition 2 Control Variables:      
  Age -.087 -.435
.665
  Sex .033 .270 .788
  Marital Status .002 .012 .990
  Rank .225 .874 .385
  Service .139 1.009 .316
  Education -.029 -.128 .898
         
  Communication Variable:      
  Newspaper Use .263 1.879 .065
         
Quality of Life Control Variables:      
  Age -.249
-1.257
.213
  Sex .065 .536 .594
  Marital Status .019 .135 .893
  Rank .178 .690 .492
  Service .083 .606 .547
  Education .104 .458 .648
         
  Communication Variable:      
  Newspaper Use .333 2.330 .023
         
Cohesion Control Variables:      
  Age -.062 -.341 .735
  Sex -.108 -.958 .341
  Marital Status -.056 -.429 .669
  Rank .030 .125 .901
  Service .300 2.386 .020
  Education .280 1.343 .184
         
  Communication Variable:      
  Newspaper Use .287 2.243 .028
         
Personnel Control Variables:      
  Age .054
.253 .801
  Sex -.017 -.133 .895
  Marital Status .028 .192 .848
  Rank -.207 -.778 .439
  Service .305 2.153 .035
  Education .156 .670 .505
 
     
  Communication Variable:      
  Newspaper Use
.162 1.131 .262

 

 

Regarding the dependent variable, recognition 1, the results show one’s rank influences how readers rate the amount and quality of stories in the Take Off that recognize base people. The beta is strong, positive and statistically significant, ? = .462, p = .047. With respect to the second recognition variable, the data suggest base newspaper use impacts the extent to which people think the paper provides sufficient information on personal recognition and institutional awards. The data ? = .263, p = .065 reveal a nearly significant finding, suggesting that base paper use – not socio-demographics – predicts recognition. Comparing the two findings, the beta is stronger for the first variable and more statistically significant. This means that the impact of the rank of respondents on how they perceive the amount and quality of stories in the paper that recognize base people is greater than the impact of base newspaper use on whether people think the paper provides sufficient information on personal recognition and institutional awards.
With respect to the second dependent variable, base information, the results demonstrate no clear correlation within the acceptable significance level between any independent variable and the extent to which people thought the newspaper provides information about the base. In a similar fashion, the data indicates no clear relationship between the independent variables and the extent to which people perceive information about the Air Force. Finally, results show no affects for the independent variables on how people perceive the quality and amount of photographs and graphic illustrations in the paper. The absence of an effect for base newspaper use on these variables is disappointing. Apparently, base paper use has no effect on information – about the base or the USAF.

On the other hand, the results demonstrate a high correlation between how often people read the paper and the extent to which they perceive the paper provides mission-essential information to members of the command, ? = .359, p = .011. The finding is significant and important. The paper facilitates reception of mission-essential information.

Regarding the quality of life variable, the research indicates a high correlation within established significance levels between base newspaper use and the extent to which they perceive the paper provides sufficient information to improve quality of life, ? = .333, p = .023. Base newspaper use, and no socio-demographic variable, contributes to perceptions of quality of life.

Regarding the cohesion variable, the data suggest that two independent variables have an impact on the extent to which people believe the paper promotes command cohesiveness. They are length of time one has been working at Tinker, ? = .300, p = .020, and base newspaper use, ? = .287, p = .028. Thus, the correlations and significance levels are roughly equal. Both variables contribute equally to perceptions of cohesion.

Finally, examining the personnel variable, the research suggests a positive correlation between the length of time one has been working at Tinker and to what extent people perceive the paper provides sufficient information on personnel-related issues, ? = .305, p = .035. Base newspaper use did not affect this outcome.

The Tinker Take Off meets four key objectives of military newspapers. Base newspaper use influences how people perceive the paper provides sufficient information on personal recognition and institutional awards, mission-essential information to members of the command, sufficient information to improve quality of life and promotes command cohesiveness. This implies the more people read the paper, the more they feel the paper provides useful information of interest to them.

Socio-demographic features also play a role. Rank influences how readers rate the amount and quality of stories in the base paper that recognize base people, and length of time people have been working on base affects whether they perceive the paper promotes command cohesiveness and whether they think the paper provides sufficient information on personnel-related issues. One could speculate, the higher the rank, the more people become aware of the base paper as promoting the interests of the command in recognizing its troops, and the longer people have been working on the base, the more they realize the importance of command cohesion and paying attention to personnel-related issues.

On the other hand, the data revealed that the Tinker Take Off did not meet three objectives of military newspapers. The data showed none of the independent variables, including base newspaper use and socio-demographic factors, influence how people perceive the quality and amount of photographs in the paper and whether they think it provides sufficient information on the base and the Air Force. In other words, base newspaper use does not contribute to meeting these three objectives of military newspapers. One could speculate as to the reason why none of the independent variables influence these three dependent measures. Perhaps, people do not think the base newspaper presents stories about the base, the Air Force and photographs in an appealing, effective way.

Future research should examine why certain independent variables influence and why others do not have an impact. Additional research should provide recommendations about what a base should do so that its command newspaper might facilitate its objectives better. New data will reveal whether the base should implement minor changes or a major overhaul.

Toward a New Survey Design

The survey distributed by Tinker did not arrange the questions by objective, not did it follow a logical sequence. In addition, it implemented different scaling with various questions having three to five point scales. This made it difficult to measure for the military’s objectives regarding its newspapers. Most importantly, the public affairs office did not have the benefit of prior research conducted on communication scales.

Regarding media use, Chaffee & Schleuder in Moy & Pfau (2000) distributed many surveys to measure “people’s exposure to and attention paid to” various types of media, including newspapers. They posited that exposure alone does not portray accurately the extent to which people use media. For example, the fact that people watch television does not mean they pay attention to it. Chafee & Schleuder developed a 10-point scale for their survey questions, ranging from “rarely use” to “frequently use” for the exposure scale and from “little attention” to “close attention” for attention (p. 65).

In the new survey design, the public affairs office could include the following two questions. For exposure, the question is to what extent do you use the base newspaper as a source for information on _______? To assess the level of attention, the question becomes how much attention do you pay to the base newspaper as a source of information on _____? Researchers could list each of the military newspaper objectives separately to fill in the blanks.

Another approach measures public perception of institutions. Moy and Pfau (2000) state various measures to gauge the public’s perceptions. They are the following: bad/good, unfavorable/favorable, negative/positive, wrong/right, foolish/wise and unacceptable/acceptable (p. 63). Thus, the survey question to measure readers’ perceptions of the base newspaper could read: Your evaluation of the base paper as a source of information about _______?

Bad 1 2 3 4 5 6 7 Good
Unfavorable 1 2 3 4 5 6 7 Favorable
Negative 1 2 3 4 5 6 7 Positive
Wrong 1 2 3 4 5 6 7 Right
Foolish 1 2 3 4 5 6 7 Wise
Unacceptable 1 2 3 4 5 6 7 Acceptable