Discriminant Analysis of Demand-Side Roadblocks to Financial Inclusion in Northern Ghana

Yakubu, Issahaku; Dinye, Romanus D.; Buor, Daniel; Abdul, Iddrisu Wahab

doi:10.4236/jmf.2017.73038

Cited by 4 publications

(4 citation statements)

References 23 publications

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“…Dalam hal itu masyarakat dapat menentukan sebuah sikap terkait keuangan yang dimilikinya, mulai dari mengelola keuangan, menganggarkan keuangan, sampai bagaimana memutuskan terkait bentuk investasi yang akan diambil. Dengan demikian hasil pengujian hipotesis pertama ini diterima karena sejalan dengan hasil penelitian (Okello Candiya Bongomin et al, 2016) dan (Yakubu et al, 2017) jika literasi keuangan secara positif dan signifikan berpengaruh terhadap inklusi keuangan.…”

Section: Pembahasan Literasi Keuangan Memiliki Pengaruh Secara Positi...unclassified

Pengaruh Literasi Keuangan Terhadap Inklusi Keuangan Rumah Tangga Dengan Jaringan Sosial (Network) Sebagai Variabel Moderating

Fuadah,

Hindrayani,

Totalia

2023

j.pendidik.ekon.

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The research was conducted aiming to determine the effect of financial literacy on household financial inclusion with social networks as a moderating variable for the poor in Blora Regency. This research is a quantitative descriptive research where the research subjects are the poor people of Blora Regency, amounting to 391 respondents. Sampling was carried out using probability sampling with stratified random sampling technique. The process of collecting data is carried out by means of a questionnaire or questionnaire which is distributed to every house that has received a lottery number as a sample. The validity test technique uses the pearson product moment correlation formula. Data analysis used is hierarchical regression using Moderated Regression Analysis (MRA). The research results obtained include. First, financial literacy has a positive and significant effect on the financial inclusion of poor households in Blora Regency. Second, social networks have a positive and significant impact on the financial inclusion of poor households in Blora Regency. Third, social networks strengthen the relationship between financial literacy and the financial inclusion of poor households in Blora Regency.

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Section: Pembahasan Literasi Keuangan Memiliki Pengaruh Secara Positi...unclassified

Pengaruh Literasi Keuangan Terhadap Inklusi Keuangan Rumah Tangga Dengan Jaringan Sosial (Network) Sebagai Variabel Moderating

Fuadah,

Hindrayani,

Totalia

2023

j.pendidik.ekon.

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“…3.1.5. Linear Discriminant Analysis (LDA) LDA is a community separation technique [34] based on the number of categories that include interdependent variables [35]. Figure 5 presents the steps of LDA [36,37].…”

Section: Exploratory Remote Sensingmentioning

confidence: 99%

Geostatistical and Remote Sensing Studies to Identify High Metallogenic Potential Regions in the Kivi Area of Iran

et al. 2020

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The Kivi area in the East Azerbaijan Province of Iran is one of the country’s highest-potential regions for metal element exploration. The primary goal herein was to process the data obtained from geochemical, geostatistical, and remote sensing tools (in the form of stream sediment samples and satellite images) to identify metallic mineralization anomalies in the region. After correcting the raw stream sediment geochemical data, single-variable statistical processing was performed, and Ti and Zn were identified as the elements with the highest degree of contrast. The relationship among these elements was further investigated using correlation and hierarchical clustering analyses. Principal component analysis was then applied to determine the principal components related to these elements, which were subsequently plotted on a regional geological map. Elements related to Ti and Zn were identified using threshold limits of anomalous samples determined via linear discriminant analysis. Lithological units and alteration patterns were detected through remote sensing investigations on Landsat-8 images. Stream sediment geochemical and remote sensing survey results identified anomalous areas of Ti and Zn in the eastern part of the study region. Our results indicate that Ti and Zn are good pathfinder elements for further exploratory investigation in this area.

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“…This method is described by the number of categories that is possessed by the dependent variable [16].…”

Section: Linear Discriminant Analysis (Lda)mentioning

confidence: 99%

Geostatistical Studies and Anomalous Elements Detection, Bardaskan Area, Iran

Alahgholi¹,

Shirazy²,

Ширази³

2018

OJG

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The aim of this study is geostatistical analysis and detection of anomalous elements in the Bardaskan area (in geological map of Bardaskan on scale 1:100,000 which is provided by the GSI organization). The study area is located in Khorasan province of Iran. Due to the availability of lithogeochemical regular data in the region as well as the importance of exploration of metal minerals in order to simplify and summarize the geochemical map, geostatistical methods were used to identify the mineralization potential of the region. Initially, using single-variable and multivariate statistical methods, anomalous elements were separated. Then, the thresholds (various communities) for the titanium element that was most likely to be anomalous were identified. Using these limits, the discriminant analysis was applied to the elements. Titanium, iron and magnesium elements were identified as the main mineral elements in the region. These elements indicate mineralization in the mafic bed rocks. Finally the map of the concentration of titanium element was mapped across the region with Kriging interpolation method. As a result, two anomalies of the titanium element in the region were identified.

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Discriminant Analysis of Demand-Side Roadblocks to Financial Inclusion in Northern Ghana

Cited by 4 publications

References 23 publications

Pengaruh Literasi Keuangan Terhadap Inklusi Keuangan Rumah Tangga Dengan Jaringan Sosial (Network) Sebagai Variabel Moderating

Pengaruh Literasi Keuangan Terhadap Inklusi Keuangan Rumah Tangga Dengan Jaringan Sosial (Network) Sebagai Variabel Moderating

Geostatistical and Remote Sensing Studies to Identify High Metallogenic Potential Regions in the Kivi Area of Iran

Geostatistical Studies and Anomalous Elements Detection, Bardaskan Area, Iran

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