【摘要】：隨著手機(jī)在人們?nèi)粘Ｉ钪械钠占昂褪謾C(jī)功能集成化的日益增加,手機(jī)使用行為越來(lái)越引起人們的關(guān)注。本研究在界定手機(jī)使用行為概念的基礎(chǔ)上,采用方差分析、線性回歸等研究技術(shù)對(duì)成都市城鄉(xiāng)居民的手機(jī)使用行為及其影響因素和手機(jī)使用行為對(duì)手機(jī)依賴度的影響進(jìn)行了深入探討。 首先,筆者對(duì)成都市城鄉(xiāng)居民的手機(jī)使用概況進(jìn)行了簡(jiǎn)要的描述統(tǒng)計(jì)。手機(jī)使用概況分為手機(jī)持有情況和手機(jī)使用情況。手機(jī)持有情況分為手機(jī)使用年數(shù)、手機(jī)使用部數(shù)、使用手機(jī)原因、手機(jī)獲得來(lái)源、手機(jī)購(gòu)買價(jià)格和手機(jī)品牌選擇等6個(gè)方面;手機(jī)使用情況分為每天打電話次數(shù)、每天發(fā)短信條數(shù)和每月手機(jī)資費(fèi)等3個(gè)方面。 其次,筆者從手機(jī)功能知曉度、手機(jī)功能使用頻率及其重要性評(píng)價(jià)3個(gè)維度對(duì)手機(jī)功能使用行為進(jìn)行了總體分析,分析發(fā)現(xiàn)這3個(gè)維度在總體上呈正相關(guān)關(guān)系,即調(diào)查對(duì)象越清楚自己手機(jī)有哪些功能(主觀上的手機(jī)功能多寡),那么他使用這些功能的頻率就會(huì)越高,既而他也認(rèn)為這些功能越重要。隨后筆者將手機(jī)使用行為歸納為五個(gè)方面:通訊聯(lián)系、網(wǎng)絡(luò)應(yīng)用、休閑娛樂(lè)、工具擴(kuò)展和個(gè)人助理。接著,筆者采用多元方差分析詳細(xì)探討了人口屬性分別對(duì)這五個(gè)方面的手機(jī)使用行為的不同影響。結(jié)果發(fā)現(xiàn),年齡和文化程度對(duì)手機(jī)使用行為的5個(gè)方面都有顯著影響,年齡與手機(jī)使用行為呈負(fù)相關(guān),文化程度與手機(jī)使用行為呈正相關(guān)。 再次,筆者對(duì)城鄉(xiāng)手機(jī)調(diào)查問(wèn)卷中手機(jī)依賴量表進(jìn)行了分析,在確定其信效度達(dá)標(biāo)的基礎(chǔ)上,計(jì)算了調(diào)查對(duì)象的量表得分,并把結(jié)果化分為輕度依賴、中度依賴、高度依賴三個(gè)等級(jí)。接著筆者探討了性別、年齡、職業(yè)、在業(yè)狀況和文化程度等人口屬性特征在手機(jī)依賴度上是否存在顯著差異。結(jié)果發(fā)現(xiàn),性別在手機(jī)依賴度上無(wú)顯著差異。 最后,筆者構(gòu)建了手機(jī)依賴?yán)碚撃Ｐ?把手機(jī)依賴分為工作依賴和生活依賴,接著再分為通訊聯(lián)系依賴、網(wǎng)絡(luò)應(yīng)用依賴、休閑娛樂(lè)依賴、工具擴(kuò)展依賴、個(gè)人助理依賴。其中除了休閑娛樂(lè)依賴和個(gè)人助理依賴屬于生活依賴外,其他的三項(xiàng)既屬于工作依賴也屬于生活依賴。隨后,筆者利用多元線性回歸模型探討了手機(jī)使用行為(通訊聯(lián)系、網(wǎng)絡(luò)應(yīng)用、休閑娛樂(lè)、工具擴(kuò)展、個(gè)人助理)對(duì)手機(jī)依賴度的影響。結(jié)果發(fā)現(xiàn),個(gè)人助理(P=0.0770.05)對(duì)手機(jī)依賴度不存在顯著影響。由于手機(jī)依賴量表得分的總體分布是顯著的非正態(tài)性,因此在做多元線性回歸之前,對(duì)其進(jìn)行了數(shù)據(jù)轉(zhuǎn)換。
[Abstract]:With the popularity of mobile phone in our daily life and the increasing integration of mobile phone functions, mobile phone use behavior has attracted more and more attention. On the basis of defining the concept of mobile phone use behavior, this study adopts ANOVA. Linear regression and other research techniques are used to study the mobile phone use behavior of urban and rural residents in Chengdu and its influencing factors and the influence of mobile phone use behavior on mobile phone dependence. First of all, the author briefly describes the mobile phone usage of urban and rural residents in Chengdu. Mobile phone use profile is divided into mobile phone holdings and mobile phone use. Mobile phone holdings are divided into six aspects: the number of years of mobile phone use, the number of mobile phone users, the reasons for using the mobile phone, the source of mobile phone acquisition, the price of mobile phone purchase and the choice of mobile phone brand; the use of mobile phones is divided into six aspects: the number of phone calls per day. Daily SMS number and monthly mobile phone charges and other three aspects. Secondly, the author makes a general analysis of the mobile phone function using behavior from the three dimensions of mobile phone function awareness degree, mobile phone function usage frequency and its importance evaluation, and finds that these three dimensions are positively correlated as a whole. That is, the more clearly the subject knows what functions his phone has, the more frequently he uses them, and the more important he thinks they are. Then the author concludes the mobile phone use behavior into five aspects: communication, network application, leisure and entertainment, tool extension and personal assistant. Then, the author uses multivariate variance analysis to discuss the different effects of population attributes on the mobile phone use behavior in these five aspects in detail. The results showed that age and education had significant effects on five aspects of mobile phone use behavior, age had negative correlation with mobile phone use behavior, and education level had positive correlation with mobile phone use behavior. Thirdly, the author analyzes the mobile phone dependence scale in the questionnaire of mobile phone in urban and rural areas. On the basis of determining the reliability and validity of the questionnaire, the author calculates the score of the questionnaire, and divides the results into mild dependence and moderate dependence. Height depends on three levels. Then the author discusses whether there are significant differences in the dependence of mobile phone on the characteristics of population attributes such as sex, age, occupation, working status and education level. The results showed that there was no significant difference in the dependence of mobile phone. Finally, the author constructs the mobile phone dependence theory model, divides the mobile phone dependence into the work dependence and the life dependence, then divides into the communication connection dependence, the network application dependence, the leisure entertainment dependence, the tool extension dependence, the personal assistant dependence. In addition to leisure and entertainment dependence and personal assistant dependence belong to life dependence, the other three belong to both work and life dependence. Then, the author uses the multiple linear regression model to study the influence of mobile phone use behavior (communication link, network application, leisure entertainment, tool extension, personal assistant) on the dependence of mobile phone. The results showed that personal assistant (PX 0.077 0.05) had no significant effect on the dependence of mobile phone. Since the total distribution of mobile phone dependency scale scores is significantly non-normal, data conversion is performed before multivariate linear regression.
【學(xué)位授予單位】：四川省社會(huì)科學(xué)院
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2011
【分類號(hào)】：C912

【引證文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前2條

1 王鳳仙;上海大學(xué)生智能手機(jī)的使用行為研究[D];上海交通大學(xué);2013年

2 胡洋;基于方法—目的鏈的高端手機(jī)消費(fèi)者需求研究[D];北京郵電大學(xué);2013年

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本文編號(hào)：2214654